Search Results - ACM: J.: Computer Applications/J.3: LIFE AND MEDICAL SCIENCES*

Multiseed Lossless Filtration

Authors: Kucherov, Gregory Noé, Laurent Roytberg, Mikhail et al.

Contributors: Kucherov, Gregory Noé, Laurent Roytberg, Mikhail et al.

Source: Lecture Notes in Computer Science ISBN: 9783540223412

Subject Terms: string matching, Molecular Sequence Data, 0206 medical engineering, [INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS], 0102 computer and information sciences, 02 engineering and technology, seed family, Quantitative Biology - Quantitative Methods, 01 natural sciences, Sequence Homology, Nucleic Acid, Quantitative Methods (q-bio.QM), [INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM], filtration, dynamic programming, Expressed Sequence Tags, gapped q-gram, Base Sequence, oligonucleotide selection, ACM: F.: Theory of Computation/F.2: ANALYSIS OF ALGORITHMS AND PROBLEM COMPLEXITY/F.2.2: Nonnumerical Algorithms and Problems/F.2.2.3: Pattern matching, local alignment, Sequence Analysis, DNA, ACM: G.: Mathematics of Computing/G.2: DISCRETE MATHEMATICS/G.2.3: Applications, sequence similarity, multiple spaced seeds, FOS: Biological sciences, est, ACM: J.: Computer Applications/J.3: LIFE AND MEDICAL SCIENCES/J.3.0: Biology and genetics, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], gapped seed, Sequence Alignment, Algorithms

File Description: application/pdf

Access URL: http://arxiv.org/pdf/0901.3215
https://hal.inria.fr/inria-00354810/file/KucherovNoeRoytberg.pdf
https://pubmed.ncbi.nlm.nih.gov/17044164
http://arxiv.org/abs/0901.3215
https://inria.hal.science/inria-00000718v1
https://doi.org/10.1109/tcbb.2005.12
https://inria.hal.science/inria-00354810v1
https://inria.hal.science/inria-00354810v1/document
https://doi.org/10.1109/tcbb.2005.12
https://rd.springer.com/chapter/10.1007/978-3-540-27801-6_22
https://link.springer.com/chapter/10.1007/978-3-540-27801-6_22
http://ui.adsabs.harvard.edu/abs/2009arXiv0901.3215K/abstract
https://dl.acm.org/doi/10.1109/TCBB.2005.12
http://ieeexplore.ieee.org/document/1416851/
https://ieeexplore.ieee.org/document/1416851/
http://export.arxiv.org/pdf/0901.3215
http://www.ncbi.nlm.nih.gov/pubmed/17044164

Towards a better understanding of pelvic system disorders using numerical simulation

Authors: Lecomte-Grosbras, Pauline Nassirou - Diallo, Mouhamadou Witz, Jean-François et al.

Contributors: Lecomte-Grosbras, Pauline Nassirou - Diallo, Mouhamadou Witz, Jean-François et al.

Source: Medical Image Computing and Computer Assisted Intervention ; https://inria.hal.science/hal-00831245 ; Medical Image Computing and Computer Assisted Intervention, Sep 2013, Nagoya, Japan

Subject Terms: ACM: J.: Computer Applications/J.3: LIFE AND MEDICAL SCIENCES, ACM: J.: Computer Applications/J.3: LIFE AND MEDICAL SCIENCES/J.3.1: Health, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, [PHYS.MECA.BIOM]Physics [physics]/Mechanics [physics]/Biomechanics [physics.med-ph], [SPI.MECA.BIOM]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Biomechanics [physics.med-ph]

Subject Geographic: Nagoya, Japan

Availability: https://inria.hal.science/hal-00831245
https://inria.hal.science/hal-00831245/document
https://inria.hal.science/hal-00831245/file/paper_819.pdf

A probabilistic framework to infer brain functional connectivity from anatomical connections

Authors: Deligianni, Fani Varoquaux, Gaël Thirion, Bertrand et al.

Contributors: Deligianni, Fani Varoquaux, Gaël Thirion, Bertrand et al.

Source: Lecture Notes in Computer Science ; Information Processing in Medical Imaging ; https://inria.hal.science/inria-00627914 ; Information Processing in Medical Imaging, Gábor Székely, Horst Hahn, Jul 2011, Kaufbeuren, Germany. pp.296-307, ⟨10.1007/978-3-642-22092-0_25⟩

Subject Terms: brain, functional connectivity, anatomical connectivity, learning, ACM: G.: Mathematics of Computing/G.3: PROBABILITY AND STATISTICS/G.3.5: Multivariate statistics, ACM: J.: Computer Applications/J.3: LIFE AND MEDICAL SCIENCES, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.6: Learning, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging

Subject Geographic: Kaufbeuren, Germany

Availability: https://inria.hal.science/inria-00627914
https://inria.hal.science/inria-00627914v1/document
https://inria.hal.science/inria-00627914v1/file/paper.pdf
https://doi.org/10.1007/978-3-642-22092-0_25

On Subset Seeds for Protein Alignment

Authors: Roytberg, Mikhail Gambin, Anna Noé, Laurent et al.

Contributors: Roytberg, Mikhail Gambin, Anna Noé, Laurent et al.

Source: IEEE/ACM Transactions on Computational Biology and Bioinformatics. 6:483-494

Subject Terms: 0301 basic medicine, [SDV.BIBS] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], 0206 medical engineering, Computational Biology, Proteins, ACM: F.: Theory of Computation/F.2: ANALYSIS OF ALGORITHMS AND PROBLEM COMPLEXITY/F.2.2: Nonnumerical Algorithms and Problems/F.2.2.3: Pattern matching, 02 engineering and technology, [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], Quantitative Biology - Quantitative Methods, Models, Biological, ACM: G.: Mathematics of Computing/G.2: DISCRETE MATHEMATICS/G.2.3: Applications, 03 medical and health sciences, ROC Curve, Terminology as Topic, FOS: Biological sciences, Cluster Analysis, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.8: Database Applications, ACM: J.: Computer Applications/J.3: LIFE AND MEDICAL SCIENCES/J.3.0: Biology and genetics, Amino Acid Sequence, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], Amino Acids, Sequence Alignment, Algorithms, Quantitative Methods (q-bio.QM), [INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM]

File Description: application/pdf

Access URL: http://arxiv.org/pdf/0901.3198
https://pubmed.ncbi.nlm.nih.gov/19644175
http://arxiv.org/abs/0901.3198
https://inria.hal.science/inria-00354773v1/document
https://doi.org/10.1109/tcbb.2009.4
https://inria.hal.science/inria-00354773v1
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000004752807
https://hal.inria.fr/inria-00354773
https://dl.acm.org/doi/10.1109/TCBB.2009.4
https://www.computer.org/csdl/journal/tb/2009/03/ttb2009030483/13rRUxZRbmA
https://www.ncbi.nlm.nih.gov/pubmed/19644175
https://pure.mpg.de/pubman/faces/ViewItemOverviewPage.jsp?itemId=item_1584087

RNA Locally Optimal Secondary Structures

Authors: Saffarian, Azadeh Giraud, Mathieu de Monte, Antoine et al.

Contributors: Saffarian, Azadeh Giraud, Mathieu de Monte, Antoine et al.

Source: Journal of Computational Biology. 19:1120-1133

Subject Terms: ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, 0301 basic medicine, Internet, [SDV.BIBS] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], Sequence Analysis, RNA, ACM: H.: Information Systems/H.3: INFORMATION STORAGE AND RETRIEVAL, 0206 medical engineering, 02 engineering and technology, [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], 03 medical and health sciences, Nucleic Acid Conformation, RNA, ACM: J.: Computer Applications/J.3: LIFE AND MEDICAL SCIENCES/J.3.0: Biology and genetics, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], Algorithms, Software, [INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM]

File Description: application/pdf

Access URL: https://hal.inria.fr/hal-00756249/file/saffarian-2012-locally-optimal.pdf
https://pubmed.ncbi.nlm.nih.gov/23057822
https://inria.hal.science/hal-00756249v1/document
https://doi.org/10.1089/cmb.2010.0178
https://inria.hal.science/hal-00756249v1
https://online.liebertpub.com/doi/abs/10.1089/cmb.2010.0178
https://hal.inria.fr/hal-00756249
http://www.liebertpub.com/doi/10.1089/cmb.2010.0178
https://www.liebertpub.com/doi/abs/10.1089/cmb.2010.0178
http://online.liebertpub.com/doi/full/10.1089/cmb.2010.0178
https://hal.inria.fr/hal-00756249/document

Restoration of 3D medical images with total variation scheme on wavelet domains (TVW)

Authors: Ogier, Arnaud Hellier, Pierre Barillot, Christian et al.

Contributors: Ogier, Arnaud Hellier, Pierre Barillot, Christian et al.

Source: SPIE Medical Imaging: Image Processing ; https://inria.hal.science/inria-00001159 ; SPIE Medical Imaging: Image Processing, Feb 2006, San Diego, CA, pp.465-473

Subject Terms: ACM: J.: Computer Applications/J.3: LIFE AND MEDICAL SCIENCES, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]

Availability: https://inria.hal.science/inria-00001159
https://inria.hal.science/inria-00001159/document
https://inria.hal.science/inria-00001159/file/Spie06.pdf

Designing Efficient Spaced Seeds for SOLiD Read Mapping

Authors: Noé, Laurent Gîrdea, Marta Kucherov, Gregory et al.

Contributors: Noé, Laurent Gîrdea, Marta Kucherov, Gregory et al.

Source: Adv Bioinformatics

Subject Terms: Spaced seeds, 0301 basic medicine, [SDV.BIBS] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], Applied Biosystems SOLiD, read mapping, 0206 medical engineering, ACM: E.: Data/E.2: DATA STORAGE REPRESENTATIONS/E.2.2: Hash-table representations, ACM: G.: Mathematics of Computing/G.4: MATHEMATICAL SOFTWARE/G.4.4: Parallel and vector implementations, 02 engineering and technology, [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], ACM: G.: Mathematics of Computing/G.2: DISCRETE MATHEMATICS/G.2.3: Applications, 03 medical and health sciences, seed design, color space alignment, ACM: J.: Computer Applications/J.3: LIFE AND MEDICAL SCIENCES/J.3.0: Biology and genetics, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], [INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM], Research Article

Access URL: http://downloads.hindawi.com/journals/abi/2010/708501.pdf
https://pubmed.ncbi.nlm.nih.gov/20936175
https://www.ncbi.nlm.nih.gov/pubmed/20936175
http://europepmc.org/articles/PMC2945724
https://www.hindawi.com/journals/abi/2010/708501/
https://www.archives-ouvertes.fr/inria-00527029v1
https://pubmed.ncbi.nlm.nih.gov/20936175/
http://downloads.hindawi.com/archive/2010/708501.pdf

CTRL: Extension of CTL with regular expressions and fairness operators to verify genetic regulatory networks

Authors: Mateescu, Radu Monteiro, Pedro T. Dumas, Estelle et al.

Contributors: Mateescu, Radu Monteiro, Pedro T. Dumas, Estelle et al.

Source: Theoretical Computer Science. 412:2854-2883

Subject Terms: 0301 basic medicine, Model checking, [INFO.INFO-SE] Computer Science [cs]/Software Engineering [cs.SE], Temporal logic, [INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE], Theoretical Computer Science, 03 medical and health sciences, temporal logic, ACM: D.: Software/D.2: SOFTWARE ENGINEERING/D.2.4: Software/Program Verification/D.2.4.3: Formal methods, [INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM], 0303 health sciences, [SDV.BIBS] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], Verification, systems biology, [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], model checking, ACM: D.: Software/D.2: SOFTWARE ENGINEERING/D.2.4: Software/Program Verification/D.2.4.4: Model checking, 3. Good health, genetic regulatory networks, ACM: J.: Computer Applications/J.3: LIFE AND MEDICAL SCIENCES/J.3.0: Biology and genetics, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], verification, Systems biology, Genetic regulatory networks, Computer Science(all)

File Description: application/pdf

Lagrangian approaches for a class of matching problems in computational biology

Authors: Yanev, Nicola Andonov, Rumen Veber, Philippe et al.

Contributors: Yanev, Nicola Andonov, Rumen Veber, Philippe et al.

Source: Computers & Mathematics with Applications. 55:1054-1067

Subject Terms: Sequence-structure alignment, 0301 basic medicine, 0303 health sciences, Lagrangian relaxation, ACM: J.: Computer Applications/J.3: LIFE AND MEDICAL SCIENCES, Cost splitting, Protein threading, Quantitative Biology - Quantitative Methods, Computational Mathematics, 03 medical and health sciences, Computational Theory and Mathematics, Modelling and Simulation, FOS: Biological sciences, Graph matching, complexity, integer programming, Network optimization, Quantitative Methods (q-bio.QM)

Access URL: http://arxiv.org/abs/q-bio/0609001
https://dblp.uni-trier.de/db/journals/cma/cma55.html#YanevAVB08
https://hal.inria.fr/inria-00091944/document
https://www.sciencedirect.com/science/article/pii/S0898122107005640
https://hal.inria.fr/inria-00091944

Using Structural and Evolutionary Information to Detect and Correct Pyrosequencing Errors in Noncoding RNAs

Authors: Reinharz, Vladimir Ponty, Yann Waldispühl, Jérôme et al.

Contributors: Reinharz, Vladimir Ponty, Yann Waldispühl, Jérôme et al.

Source: Journal of Computational Biology. 20:905-919

Subject Terms: 0301 basic medicine, RNA, Untranslated, 0206 medical engineering, 02 engineering and technology, Quantitative Biology - Quantitative Methods, Evolution, Molecular, 03 medical and health sciences, RNA, Ribosomal, 16S, Humans, Computer Simulation, Quantitative Methods (q-bio.QM), [INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM], [SDV.BIBS] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], Models, Genetic, Sequence Analysis, RNA, RNA, Ribosomal, 5S, High-Throughput Nucleotide Sequencing, secondary structure, mutations, [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], RNA, Bacterial, ROC Curve, FOS: Biological sciences, Next-Generation sequencing, isostericity, RNA, Nucleic Acid Conformation, ACM: J.: Computer Applications/J.3: LIFE AND MEDICAL SCIENCES/J.3.0: Biology and genetics, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], Algorithms

File Description: application/pdf

Access URL: https://europepmc.org/articles/pmc3822367?pdf=render
https://pubmed.ncbi.nlm.nih.gov/24134390
http://arxiv.org/abs/1305.7068

Bayesian Joint Detection-Estimation of cerebral vasoreactivity from ASL fMRI data

Authors: Vincent, Thomas Warnking, Jan Villien, Marjorie et al.

Contributors: Vincent, Thomas Warnking, Jan Villien, Marjorie et al.

Source: MICCAI 2013 - 16th International Conference on Medical Image Computing and Computer Assisted Intervention ; https://inria.hal.science/hal-00854437 ; MICCAI 2013 - 16th International Conference on Medical Image Computing and Computer Assisted Intervention, Scientific Council of Japan, Sep 2013, Nagoya, Japan. pp.616-623, ⟨10.1007/978-3-642-40763-5_76⟩

Subject Terms: fMRI, ASL, cerebral vasoreactivity, deconvolution, Bayesian analysis, Monte Carlo Markov Chain inference, ACM: J.: Computer Applications/J.3: LIFE AND MEDICAL SCIENCES/J.3.2: Medical information systems, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing

Subject Geographic: Nagoya, Japan

Availability: https://inria.hal.science/hal-00854437
https://inria.hal.science/hal-00854437v1/document
https://inria.hal.science/hal-00854437v1/file/paper826.pdf
https://doi.org/10.1007/978-3-642-40763-5_76

SPARCS: a web server to analyze (un)structured regions in coding RNA sequences

Authors: Zhang, Yang Ponty, Yann Blanchette, Mathieu et al.

Contributors: Zhang, Yang Ponty, Yann Blanchette, Mathieu et al.

Source: Nucleic Acids Res

Subject Terms: 0301 basic medicine, Internet, 0303 health sciences, [SDV.BIBS] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], Saccharomyces cerevisiae Proteins, Sequence Analysis, RNA, Proteins, Articles, [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], Repressor Proteins, 03 medical and health sciences, Nucleic Acid Conformation, ACM: J.: Computer Applications/J.3: LIFE AND MEDICAL SCIENCES/J.3.0: Biology and genetics, RNA, Messenger, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], Base Pairing, Algorithms, Software, [INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM]

File Description: application/pdf

Access URL: https://academic.oup.com/nar/article-pdf/41/W1/W480/16944176/gkt461.pdf
https://pubmed.ncbi.nlm.nih.gov/23748952
https://inria.hal.science/hal-00819017v1
https://inria.hal.science/hal-00819017v1/document
https://doi.org/10.1093/nar/gkt461
https://paperity.org/p/34537783/sparcs-a-web-server-to-analyze-un-structured-regions-in-coding-rna-sequences
https://europepmc.org/articles/PMC3692110
https://dblp.uni-trier.de/db/journals/nar/nar41.html#ZhangPBLW13
https://hal.inria.fr/hal-00819017/document
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3692110/
https://hal.inria.fr/hal-00819017

NORINE: a database of nonribosomal peptides

Authors: Caboche, Ségolène Pupin, Maude Leclère, Valérie et al.

Contributors: Caboche, Ségolène Pupin, Maude Leclère, Valérie et al.

Source: Nucleic Acids Res

Subject Terms: 0301 basic medicine, Internet, 0303 health sciences, [SDV.BIBS] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], Peptide Synthases/metabolism, ACM: J.: Computer Applications/J.3: LIFE AND MEDICAL SCIENCES, nonribosomal peptide database, Articles, Peptides/chemistry, [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], Life sciences, Microbiology, 3. Good health, User-Computer Interface, 03 medical and health sciences, Microbiologie, Sciences du vivant, Peptide Biosynthesis, Nucleic Acid-Independent, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], Peptide Synthases, Databases, Protein, Peptides, [INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM]

File Description: application/pdf

Access URL: https://academic.oup.com/nar/article-pdf/36/suppl_1/D326/7627486/gkm792.pdf
https://pubmed.ncbi.nlm.nih.gov/17913739
https://hdl.handle.net/2268/173242
https://doi.org/10.1093/nar/gkm792

Detection of brain functional-connectivity difference in post-stroke patients using group-level covariance modeling

Authors: Varoquaux, Gaël Baronnet, Flore Kleinschmidt, Andreas et al.

Contributors: Varoquaux, Gaël Baronnet, Flore Kleinschmidt, Andreas et al.

Source: Medical Image Computing and Computer Added Intervention ; https://inria.hal.science/inria-00512417 ; Medical Image Computing and Computer Added Intervention, Tianzi Jiang, Sep 2010, Beijing, China. ⟨10.1007/978-3-642-15705-9_25⟩

Subject Terms: group inference, statistics, fmri, covariance matrix, functional connectivity, ACM: J.: Computer Applications/J.3: LIFE AND MEDICAL SCIENCES/J.3.2: Medical information systems, ACM: G.: Mathematics of Computing/G.3: PROBABILITY AND STATISTICS/G.3.1: Correlation and regression analysis, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.9: Applications, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, [SDV.NEU.SC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Cognitive Sciences, [STAT.AP]Statistics [stat]/Applications [stat.AP]

Subject Geographic: Beijing, China

Relation: info:eu-repo/semantics/altIdentifier/arxiv/1008.5070; ARXIV: 1008.5070

Availability: https://inria.hal.science/inria-00512417
https://inria.hal.science/inria-00512417v1/document
https://inria.hal.science/inria-00512417v1/file/paper.pdf
https://doi.org/10.1007/978-3-642-15705-9_25

Model-based identification of Helitrons results in a new classification of their families in Arabidopsis thaliana

Authors: Tempel, Sébastien Nicolas, Jacques El Amrani, Abdelhak et al.

Contributors: Tempel, Sébastien Nicolas, Jacques El Amrani, Abdelhak et al.

Source: Gene. 403:18-28

Subject Terms: 0301 basic medicine, Combinatorial optimization, DNA, Plant, Bioinformatics, Molecular Sequence Data, Arabidopsis, Chromosomes, Plant, 03 medical and health sciences, Terminology as Topic, Genome dynamics, Cluster Analysis, [INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM], Plant Proteins, 0303 health sciences, [SDV.BIBS] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], Base Sequence, Models, Genetic, Chimera, Helitron, Transposable Elements, Sequence analysis, Computational Biology, Sequence Analysis, DNA, [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], DNA Transposable Elements, ACM: J.: Computer Applications/J.3: LIFE AND MEDICAL SCIENCES/J.3.0: Biology and genetics, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], Syntactical Modelling, Genome, Plant

File Description: application/pdf

Access URL: https://hal.inria.fr/inria-00180376/file/GENE.pdf
https://pubmed.ncbi.nlm.nih.gov/17889452
https://hal.inria.fr/inria-00180376/document
https://europepmc.org/abstract/MED/17889452
https://www.sciencedirect.com/science/article/pii/S0378111907003654
https://www.ncbi.nlm.nih.gov/pubmed/17889452
https://hal.inria.fr/inria-00180376

Qualitative analysis of the relation between DNA microarray data and behavioral models of regulation networks

Authors: Siegel, Anne Radulescu, Ovidiu Le Borgne, Michel et al.

Contributors: Siegel, Anne Radulescu, Ovidiu Le Borgne, Michel et al.

Source: Biosystems. 84:153-174

Subject Terms: 0301 basic medicine, GENE EXPRESSION, REGULATION NETWORK, [SDV.BIBS] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], [SDV]Life Sciences [q-bio], BIOINFORMATICS, Fatty Acids, 0206 medical engineering, 02 engineering and technology, [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], EXPRESSION DE GENES, Models, Biological, [SDV] Life Sciences [q-bio], 03 medical and health sciences, RESEAU DE REGULATION, ACM: J.: Computer Applications/J.3: LIFE AND MEDICAL SCIENCES/J.3.0: Biology and genetics, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], [INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM], Oligonucleotide Array Sequence Analysis

File Description: application/pdf

Access URL: https://hal.inria.fr/inria-00178809/file/BiosystemsSRLVOL.pdf
https://pubmed.ncbi.nlm.nih.gov/16556482
https://hal.inrae.fr/hal-02656133v1
https://inria.hal.science/inria-00178809v1
https://hal.inria.fr/inria-00178809/document
https://hal.inria.fr/inria-00178809
https://www.sciencedirect.com/science/article/pii/S0303264705001723
http://www.sciencedirect.com/science/article/pii/S0303264705001723
https://www.ncbi.nlm.nih.gov/pubmed/16556482

Topology and static response of interaction networks in molecular biology

Authors: Radulescu, Ovidiu Lagarrigue, Sandrine Siegel, Anne et al.

Contributors: Radulescu, Ovidiu Lagarrigue, Sandrine Siegel, Anne et al.

Source: Journal of The Royal Society Interface. 3:185-196

Subject Terms: 0301 basic medicine, [SDV.BIBS] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], Models, Statistical, [SDV]Life Sciences [q-bio], BIOINFORMATICS, 0206 medical engineering, Gene Expression, 02 engineering and technology, [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], Models, Biological, Cell Physiological Phenomena, [SDV] Life Sciences [q-bio], MOLECULAR NETWORK, 03 medical and health sciences, Protein Interaction Mapping, Animals, Humans, TRANSCRIPTOMICS, Computer Simulation, ACM: J.: Computer Applications/J.3: LIFE AND MEDICAL SCIENCES/J.3.0: Biology and genetics, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], Molecular Biology, [INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM], Signal Transduction

File Description: application/pdf

Access URL: https://europepmc.org/articles/pmc1618492?pdf=render
https://pubmed.ncbi.nlm.nih.gov/16849230
https://hal.inrae.fr/hal-02654772v1
https://inria.hal.science/inria-00178842v1
https://doi.org/10.1098/rsif.2005.0092
https://inria.hal.science/inria-00178842v1/document
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1618492/
https://rsif.royalsocietypublishing.org/content/3/6/185
https://www.royalsocietypublishing.org/doi/10.1098/rsif.2005.0092
https://hal.inria.fr/inria-00178842/document
https://europepmc.org/article/MED/16849230
https://hal.inria.fr/inria-00178842

Complex Qualitative Models in Biology: A New Approach

Authors: Veber, Philippe Le Borgne, Michel Siegel, Anne et al.

Contributors: Veber, Philippe Le Borgne, Michel Siegel, Anne et al.

Source: Complexus. 2:140-151

Subject Terms: 0301 basic medicine, 03 medical and health sciences, [SDV.BIBS] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], Molecular Networks (q-bio.MN), FOS: Biological sciences, 0206 medical engineering, Quantitative Biology - Molecular Networks, ACM: J.: Computer Applications/J.3: LIFE AND MEDICAL SCIENCES/J.3.0: Biology and genetics, 02 engineering and technology, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], [INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM]

Access URL: https://www.karger.com/Article/Pdf/93686
http://arxiv.org/abs/q-bio/0604017
https://inria.hal.science/inria-00178819v1
https://hal.archives-ouvertes.fr/inria-00178819
https://hal.inria.fr/inria-00178819
https://www.irisa.fr/symbiose/people/asiegel/Articles/eccs.pdf

A framework for inter-subject prediction of functional connectivity from structural networks

Authors: Deligianni, Fani Varoquaux, Gaël Thirion, Bertrand et al.

Contributors: Deligianni, Fani Varoquaux, Gaël Thirion, Bertrand et al.

Source: ISSN: 0278-0062 ; IEEE Transactions on Medical Imaging ; https://inria.hal.science/hal-00852072 ; IEEE Transactions on Medical Imaging, 2013, epub ahead of print, ⟨10.1109/TMI.2013.2276916⟩ ; http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6575192&tag=1.

Subject Terms: structural brain connectivity, functional brain connectivity, statistical associations, predictive modeling, ACM: J.: Computer Applications/J.3: LIFE AND MEDICAL SCIENCES, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.4: Statistical, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, [SCCO.NEUR]Cognitive science/Neuroscience, [SDV.IB]Life Sciences [q-bio]/Bioengineering

Availability: https://inria.hal.science/hal-00852072
https://inria.hal.science/hal-00852072v1/document
https://inria.hal.science/hal-00852072v1/file/paper.pdf
https://doi.org/10.1109/TMI.2013.2276916

A New Data Mining Approach for the Detection of Bacterial Promoters Combining Stochastic and Combinatorial Methods

Authors: Eng, Catherine Asthana, Charu Aigle, Bertrand et al.

Contributors: Eng, Catherine Asthana, Charu Aigle, Bertrand et al.

Source: Journal of Computational Biology 9 (16), 1211-1225. (2009)

Subject Terms: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], 0301 basic medicine, 0303 health sciences, Binding Sites, Models, Genetic, second-order hidden markov models, transcription factor binding site, Streptomyces coelicolor, STOCHASTIC MODEL, COMBINATORIAL METHODS, SECOND-ORDER HIDDEN MARKOV MODELS, BACTERIAL PROMOTERS, TRANSCRIPTION FACTOR BINDING SITE, STREPTOMYCES COELICOLOR, Streptomyces, Markov Chains, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], fouille de données, modèle stochastique, 03 medical and health sciences, modèle mathématique, modèle de markov caché, ACM: J.: Computer Applications/J.3: LIFE AND MEDICAL SCIENCES/J.3.0: Biology and genetics, Promoter Regions, Genetic, stochastic model, bacterial promoters, Genome, Bacterial, combinatorial methods

File Description: application/pdf

Access URL: https://hal.inria.fr/inria-00419969/file/jcb-eng.pdf
https://pubmed.ncbi.nlm.nih.gov/19772433
https://inria.hal.science/inria-00419969v1/document
https://doi.org/10.1089/cmb.2008.0122
https://inria.hal.science/inria-00419969v1
http://prodinra.inra.fr/record/48251