Search Results - (( (statne OR stat) python code analysis ) OR ( (statnyeeneen OR statnit) python code analysis ))

GE-IA-NAM: gene-environment interaction analysis via imaging-assisted neural additive model.

Authors: Li J Xu Y Ma S et al.

Source: Bioinformatics (Oxford, England) [Bioinformatics] 2025 Sep 01; Vol. 41 (9).

Publication Type: Journal Article

Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print Cited Medium: Internet ISSN: 1367-4811 (Electronic) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE

MeSH Terms: Lung Neoplasms*/genetics , Skin Neoplasms*/genetics , Melanoma*/genetics , Gene-Environment Interaction* , Deep Learning*, Datasets as Topic ; Humans ; Age Factors ; Sex Factors ; Smoking

GPT-4.1 Sets the Standard in Automated Experiment Design Using Novel Python Libraries.

Authors: Fachada, Nuno Fernandes, Daniel Fernandes, Carlos M. et al.

Source: Future Internet; Sep2025, Vol. 17 Issue 9, p412, 28p

Subject Terms: LANGUAGE models, EXPERIMENTAL design, PYTHON programming language, GENERATIVE pre-trained transformers, QUANTITATIVE research, BENCHMARK problems (Computer science), CODE generators

A statistical approach to automated analysis of the low‐contrast object detectability test for the large ACR MRI phantom.

Authors: Golestani, Ali M. Gee, Julia M.

Source: Journal of Applied Clinical Medical Physics; Jul2025, Vol. 26 Issue 7, p1-9, 9p

Subject Terms: LINEAR statistical models, IMAGING phantoms, QUALITY control, PYTHON programming language, MAGNETIC resonance imaging

CLM App: Interlamellar Distance of Pearlite via CLM Revisited and Automated.

Authors: Zouhar, Martin Mikmeková, Šárka Hovjacký, Jan et al.

Source: Materials (1996-1944); Feb2026, Vol. 19 Issue 3, p635, 17p

Subject Terms: AUTOMATION, IMAGE analysis, QUALITY control, MICROSTRUCTURE

Python Programming: Numerical Analysis/Machine Learning Series.

Authors: Doskas, Constantinos

Source: ISSA Journal; Oct2023, Vol. 21 Issue 10, p34-38, 5p

Subject Terms: PYTHON programming language, NUMERICAL analysis, MACHINE learning

Regularized Maximum Likelihood Estimation for the Random Coefficients Model in Python.

Authors: Dunker, Fabian Mendoza, Emil Reale, Marco

Source: Mathematics (2227-7390); Dec2025, Vol. 13 Issue 23, p3764, 29p

Subject Terms: PYTHON programming language, MAXIMUM likelihood statistics, CONSUMPTION (Economics), MATHEMATICAL programming, MULTILEVEL models, SCIENTIFIC computing

The state of the late Quaternary megafauna extinction debate: a systematic review and analysis.

Authors: Stewart, Mathew Peters, Carli Ziegler, Michael J. et al.

Source: Frontiers in Mammal Science. 2025, p1-27. 27p.

Automation of Software Code Analysis Using Machine Learning Methods.

Authors: Moshkin, V. S. Dyrnochkin, A. A. Yarushkina, N. G.

Source: Pattern Recognition & Image Analysis; Sep2023, Vol. 33 Issue 3, p417-424, 8p

Py Code for Stats and Vis in Isotopic Evidence for Interseasonal Bioaccumulation of Perfluoroalkyl Substances (PFASs) in Icelandic seabirds

Authors: Shen, Rui Larsen, Thomas

Relation: https://zenodo.org/records/10120463; oai:zenodo.org:10120463; https://doi.org/10.5281/zenodo.10120463

Availability: https://doi.org/10.5281/zenodo.10120463
https://zenodo.org/records/10120463

Strong correlation of gene counts and differentially expressed genes between a 3′ RNA-Seq and an RNA hybridization platform in transcriptome analyses from canine archival tissues.

Authors: Haake, Alexander F. H. Loriani Fard, Alina K. Jovanovic, Vladimir M. et al.

Source: Frontiers in Veterinary Science. 2025, p1-13. 13p.

A comparison of machine learning algorithms for survival with missing data ; Une comparaison des algorithmes d'apprentissage pour la survie avec données manquantes

Authors: Dufossé, Paul Benzekry, Sébastien Aix Marseille Université (AMU) et al.

Contributors: Dufossé, Paul Benzekry, Sébastien Aix Marseille Université (AMU) et al.

Source: 54es Journées de Statistique de la SFdS
JDS 2023 - 54e Journées de Statistique de la SFds
https://hal.science/hal-04384220
JDS 2023 - 54e Journées de Statistique de la SFds, SFdS, Jul 2023, Bruxelles (BEL), Belgique. ⟨10.48550/arXiv.2303.13590⟩

Subject Terms: Machine Learning (cs.LG), Machine Learning (stat.ML), Machine learning, neural networks, survival data, simulated data, missing data, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [STAT.AP]Statistics [stat]/Applications [stat.AP]

Subject Geographic: Bruxelles (BEL), Belgium

Availability: https://hal.science/hal-04384220
https://hal.science/hal-04384220v1/document
https://hal.science/hal-04384220v1/file/preprint_arxiv.pdf
https://doi.org/10.48550/arXiv.2303.13590

Economic and Veterinary Evaluation of Pet Insurance in Türkiye: Potential, Role in Health, and Impact on Practice.

Authors: GENÇGÖNÜL, Betül Zehra¹ betul.zehra@hacettepe.edu.tr

Source: Kafkas Üniversitesi Veteriner Fakültesi Dergisi. Jan/Feb2026, Vol. 32 Issue 1, p147-153. 7p.

Time Series Analysis with Python Cookbook : Practical Recipes for the Complete Time Series Workflow, From Modern Data Engineering to Advanced Forecasting and Anomaly Detection

Authors: Tarek A. Atwan

Resource Type: eBook.

Subjects: Python (Computer program language), Machine learning

Categories: COMPUTERS / Data Science / Data Modeling & Design, COMPUTERS / Data Science / General, COMPUTERS / Data Science / Data Analytics

Extended sample size calculations for evaluation of prediction models using a threshold for classification.

Authors: Whittle R Ensor J Archer L et al.

Source: BMC medical research methodology [BMC Med Res Methodol] 2025 Jul 01; Vol. 25 (1), pp. 170. Date of Electronic Publication: 2025 Jul 01.

Publication Type: Journal Article

Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2288 (Electronic) Linking ISSN: 14712288 NLM ISO Abbreviation: BMC Med Res Methodol Subsets: MEDLINE

MeSH Terms: Models, Statistical*, Risk Assessment/methods ; Sample Size ; Humans ; Predictive Value of Tests ; Sensitivity and Specificity ; Algorithms

Genome-wide analyses reveal intricate genetic mechanisms underlying egg production efficiency in chickens.

Authors: Tan, Lizhi Cai, Xinyu Kong, Yuan et al.

Source: Journal of Animal Science & Biotechnology. 8/11/2025, Vol. 16 Issue 1, p1-21. 21p.

Python Programming Log Analysis Series.

Authors: Doskas, Constantinos

Source: ISSA Journal; Oct2021, Vol. 19 Issue 10, p20-23, 4p

Subject Terms: PYTHON programming language, SAWLOGS, RECORDS management, INFORMATION assurance, DATABASES, TEXT files

Eating Disorders in People Who Identify as Gender-Diverse: Associations Between Gender Diversity, Eating Disorder Diagnosis, Minority Stress Experiences and Mental Health Comorbidity.

Authors: Murphy, Rebecca Sharpe, Helen

Source: Nutrients. Feb2026, Vol. 18 Issue 3, p458. 24p.

Portable Electronic Olfactometer for Non-Invasive Screening of Canine Ehrlichiosis: A Proof-of-Concept Study Using Machine Learning.

Authors: Durán Cotrina, Silvana Valentina Acevedo, Cristhian Manuel Durán Carrillo Gómez, Jeniffer Katerine

Source: Veterinary Sciences. Jan2026, Vol. 13 Issue 1, p88. 20p.

Unsupervised Voting for Detecting the Algorithmic Solving Strategy in Competitive Programming Solutions.

Authors: Stoica, Alexandru Stefan Babiceanu, Daniel Mihaescu, Marian Cristian et al.

Source: Mathematics (2227-7390); Nov2025, Vol. 13 Issue 22, p3589, 19p

Subject Terms: MACHINE learning, CLUSTERING algorithms, COMPUTER science, ALGORITHMS, SOURCE code

Compound-SNE: comparative alignment of t-SNEs for multiple single-cell omics data visualization.

Authors: Cess, Colin G Haghverdi, Laleh

Source: Bioinformatics; Jul2024, Vol. 40 Issue 7, p1-5, 5p

Subject Terms: RESEARCH personnel, DATA visualization, GENE expression, DATA analysis, PYTHON programming language