Výsledky vyhledávání - Gene co-expression network inference algorithms

  1. 1

    The Performance Comparison of Gene Co-expression Networks of Breast and Prostate Cancer using Different Selection Criteria Autor Cingiz, Mustafa Özgür, Biricik, Göksel, Diri, Banu

    ISSN: 1913-2751, 1867-1462, 1867-1462
    Vydáno: Singapore Springer Singapore 01.09.2021
    “…Gene co-expression networks (GCN) present undirected relations between genes to understand molecular structures behind the diseases, including cancer…”
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    Journal Article
  2. 2

    The inference of gene co-expression networks of breast and colon cancer using miRNA-target gene interactions data Autor Cingiz, Mustafa Ozgur, Diri, Banu

    Vydáno: IEEE 01.05.2017
    “… Popular information theory based gene network inference algorithms are utilized to infer gene co-expression networks…”
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    Konferenční příspěvek
  3. 3

    NetMiner-an ensemble pipeline for building genome-wide and high-quality gene co-expression network using massive-scale RNA-seq samples Autor Yu, Hua, Jiao, Bingke, Lu, Lu, Wang, Pengfei, Chen, Shuangcheng, Liang, Chengzhi, Liu, Wei

    ISSN: 1932-6203, 1932-6203
    Vydáno: United States Public Library of Science 09.02.2018
    Vydáno v PloS one (09.02.2018)
    “…Accurately reconstructing gene co-expression network is of great importance for uncovering the genetic architecture underlying complex and various phenotypes…”
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  4. 4

    Ensemble and Greedy Approach for the Reconstruction of Large Gene Co-Expression Networks Autor Gómez-Vela, Francisco, Delgado-Chaves, Fernando M., Rodríguez-Baena, Domingo S., García-Torres, Miguel, Divina, Federico

    ISSN: 1099-4300, 1099-4300
    Vydáno: Basel MDPI AG 01.12.2019
    Vydáno v Entropy (Basel, Switzerland) (01.12.2019)
    “…Gene networks have become a powerful tool in the comprehensive analysis of gene expression…”
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  5. 5

    Intrinsic-overlapping co-expression module detection with application to Alzheimer's Disease Autor Manners, Hazel Nicolette, Roy, Swarup, Kalita, Jugal K.

    ISSN: 1476-9271, 1476-928X, 1476-928X
    Vydáno: England Elsevier Ltd 01.12.2018
    Vydáno v Computational biology and chemistry (01.12.2018)
    “…•A new density-based algorithm called CluViaN is proposed that can detect intrinsic as well as overlapping modules from gene co-expression network…”
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  6. 6

    k- Strong Inference Algorithm: A Hybrid Information Theory Based Gene Network Inference Algorithm Autor Cingiz, Mustafa Özgür

    ISSN: 1073-6085, 1559-0305, 1559-0305
    Vydáno: New York Springer US 01.11.2024
    Vydáno v Molecular biotechnology (01.11.2024)
    “… Numerous gene network inference (GNI) algorithms have been presented in the literature to infer accurate gene networks…”
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  7. 7

    Inference of Gene Regulatory Network from Single-Cell Transcriptomic Data Using pySCENIC Autor Kumar, Nilesh, Mishra, Bharat, Athar, Mohammad, Mukhtar, Shahid

    ISSN: 1940-6029, 1940-6029
    Vydáno: United States 2021
    “… The gene regulatory network (GRN) mainly consists of genes and their regulators-transcription factors (TF…”
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  8. 8

    Condition-adaptive fused graphical lasso (CFGL): An adaptive procedure for inferring condition-specific gene co-expression network Autor Lyu, Yafei, Xue, Lingzhou, Zhang, Feipeng, Koch, Hillary, Saba, Laura, Kechris, Katerina, Li, Qunhua

    ISSN: 1553-7358, 1553-734X, 1553-7358
    Vydáno: United States Public Library of Science 01.09.2018
    Vydáno v PLoS computational biology (01.09.2018)
    “…Co-expression network analysis provides useful information for studying gene regulation in biological processes…”
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  9. 9

    lionessR: single sample network inference in R Autor Kuijjer, Marieke L, Hsieh, Ping-Han, Quackenbush, John, Glass, Kimberly

    ISSN: 1471-2407, 1471-2407
    Vydáno: London BioMed Central 25.10.2019
    Vydáno v BMC cancer (25.10.2019)
    “…Background In biomedical research, network inference algorithms are typically used to infer complex association patterns between biological entities, such as between genes or proteins, using data from a population…”
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  10. 10

    Evaluation and improvement of the regulatory inference for large co-expression networks with limited sample size Autor Guo, Wenbin, Calixto, Cristiane P. G., Tzioutziou, Nikoleta, Lin, Ping, Waugh, Robbie, Brown, John W. S., Zhang, Runxuan

    ISSN: 1752-0509, 1752-0509
    Vydáno: London BioMed Central 19.06.2017
    Vydáno v BMC systems biology (19.06.2017)
    “… Evaluation studies on co-expression network analysis methods mostly focus on networks of small or medium size of up to a few hundred nodes…”
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  11. 11

    Computational Inference of Gene Co-Expression Networks for the identification of Lung Carcinoma Biomarkers: An Ensemble Approach Autor Delgado-Chaves, Fernando M., Gómez-Vela, Francisco, García-Torres, Miguel, Divina, Federico, Vázquez Noguera, José Luis

    ISSN: 2073-4425, 2073-4425
    Vydáno: Switzerland MDPI AG 22.11.2019
    Vydáno v Genes (22.11.2019)
    “… In this work, we present an application of gene co-expression networks in the modelling of lung cancer gene regulatory networks, which ultimately served to the discovery of new biomarkers…”
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  12. 12

    Addressing confounding artifacts in reconstruction of gene co-expression networks Autor Parsana, Princy, Ruberman, Claire, Jaffe, Andrew E., Schatz, Michael C., Battle, Alexis, Leek, Jeffrey T.

    ISSN: 1474-760X, 1474-7596, 1474-760X
    Vydáno: London BioMed Central 16.05.2019
    Vydáno v Genome Biology (16.05.2019)
    “…Gene co-expression networks capture biological relationships between genes and are important tools in predicting gene function and understanding disease mechanisms…”
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  13. 13

    Computational Ensemble Gene Co-Expression Networks for the Analysis of Cancer Biomarkers Autor Figueroa-Martínez, Julia, Saz-Navarro, Dulcenombre M., López-Fernández, Aurelio, Rodríguez-Baena, Domingo S., Gómez-Vela, Francisco A.

    ISSN: 2227-9709, 2227-9709
    Vydáno: Basel MDPI AG 01.06.2024
    Vydáno v Informatics (Basel) (01.06.2024)
    “… Thanks to these networks generated by means of inference algorithms, it is possible to study different biological processes and even identify new biomarkers for such diseases…”
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  14. 14

    Genetic network inference: from co-expression clustering to reverse engineering Autor D’haeseleer, Patrik, Liang, Shoudan, Somogyi, Roland

    ISSN: 1367-4803, 1460-2059, 1367-4811
    Vydáno: Oxford Oxford University Press 01.08.2000
    Vydáno v Bioinformatics (01.08.2000)
    “… In particular, using high-throughput gene expression assays, we are able to measure the output of the gene regulatory network…”
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  15. 15

    Sharing and Specificity of Co-expression Networks across 35 Human Tissues Autor Pierson, Emma, Koller, Daphne, Battle, Alexis, Mostafavi, Sara

    ISSN: 1553-7358, 1553-734X, 1553-7358
    Vydáno: United States Public Library of Science 01.05.2015
    Vydáno v PLoS computational biology (01.05.2015)
    “… To address this problem, we infer tissue-specific gene co-expression networks for 35 tissues in the GTEx dataset using a novel algorithm, GNAT, that uses a hierarchy of tissues to share data between related tissues…”
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  16. 16

    Estimation of the proteomic cancer co-expression sub networks by using association estimators Autor Yamanishi, Yoshihiro, Erdoğan, Cihat, Kurt, Zeyneb, Diri, Banu

    ISSN: 1932-6203, 1932-6203
    Vydáno: United States Public Library of Science (PLoS) 16.11.2017
    Vydáno v PLOS ONE (16.11.2017)
    “…In this study, the association estimators, which have significant influences on the gene network inference methods and used for determining the molecular interactions, were examined within the co…”
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  17. 17

    Library size-stabilized metacells construction enhances co-expression network analysis in single-cell data Autor Zhang, Tianjiao, Zhu, Haibin

    ISSN: 1553-7358, 1553-734X, 1553-7358
    Vydáno: United States Public Library of Science (PLoS) 01.11.2025
    Vydáno v PLoS computational biology (01.11.2025)
    “…Single-cell RNA sequencing (scRNA-seq) deciphers cell type-specific co-expression networks to resolve biological functions but remains constrained by data sparsity and compositional biases…”
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  18. 18

    Comparison of co-expression measures: mutual information, correlation, and model based indices Autor Song, Lin, Langfelder, Peter, Horvath, Steve

    ISSN: 1471-2105, 1471-2105
    Vydáno: London BioMed Central 09.12.2012
    Vydáno v BMC bioinformatics (09.12.2012)
    “…Background Co-expression measures are often used to define networks among genes. Mutual information (MI…”
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  19. 19

    Gene Regulatory Network Inference Using Convolutional Neural Networks from scRNA-seq Data Autor Mao, Guo, Pang, Zhengbin, Zuo, Ke, Liu, Jie

    ISSN: 1557-8666, 1557-8666
    Vydáno: United States 01.05.2023
    Vydáno v Journal of computational biology (01.05.2023)
    “… In this article, we propose a novel supervised convolutional neural network (CNNSE), which can extract gene expression information from 2D co-expression matrices of gene doublets and identify interactions between genes…”
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  20. 20

    Two-tier combinatorial structure to integrate various gene co-expression networks of prostate cancer Autor Cingiz, Mustafa Özgür, Diri, Banu

    ISSN: 0378-1119, 1879-0038, 1879-0038
    Vydáno: Netherlands Elsevier B.V 30.12.2019
    Vydáno v Gene (30.12.2019)
    “… In this study, we present a two-tiered combinatorial structure (TTCS) to integrate gene co-expression networks (GCNs…”
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