Graph Theoretic and Pearson Correlation-Based Discovery of Network Biomarkers for Cancer
暂无分享,去创建一个
Abdullah Al Mamun | M. Mondal Ananda | Raihanul Bari Tanvir | Tasmia Aqila | Mona Maharjan | A. Mamun | Mona Maharjan | R. Tanvir | M. Ananda | Tasmia Aqila
[1] Alexandra Maertens,et al. Weighted Gene Correlation Network Analysis (WGCNA) Reveals Novel Transcription Factors Associated With Bisphenol A Dose-Response , 2018, Front. Genet..
[2] Ling Wang,et al. Prognostic genes of breast cancer revealed by gene co-expression network analysis. , 2017, Oncology letters.
[3] Jianjun Hu,et al. Scored Protein-Protein Interaction to Predict Subcellular Localizations for Yeast Using Diffusion Kernel , 2013, PReMI.
[4] Tijana Milenkovic,et al. Dynamic networks reveal key players in aging , 2014, BCB.
[5] Jianjun Hu,et al. Network based prediction of protein localisation using diffusion Kernel , 2014, Int. J. Data Min. Bioinform..
[6] J. Bader,et al. Finding friends and enemies in an enemies-only network: a graph diffusion kernel for predicting novel genetic interactions and co-complex membership from yeast genetic interactions. , 2008, Genome research.
[7] Cong Zhang 张 丛,et al. Weighted gene co-expression network analysis of gene modules for the prognosis of esophageal cancer , 2017, Journal of Huazhong University of Science and Technology [Medical Sciences].
[8] Jianjun Hu,et al. Protein Localization by Integrating Multiple Protein Correlation Networks , 2012 .
[9] D. Botstein,et al. Cluster analysis and display of genome-wide expression patterns. , 1998, Proceedings of the National Academy of Sciences of the United States of America.
[10] Martin Kuiper,et al. BiNGO: a Cytoscape plugin to assess overrepresentation of Gene Ontology categories in Biological Networks , 2005, Bioinform..
[11] Michael A. Langston,et al. Threshold selection in gene co-expression networks using spectral graph theory techniques , 2009, BMC Bioinformatics.
[12] M. Mondal Ananda,et al. Graph Theoretic Concepts as the Building Blocks for Disease Initiation and Progression at Protein Network Level: Identification and Challenges , 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
[13] Wei Zhang,et al. Associating transcriptional modules with colon cancer survival through weighted gene co-expression network analysis , 2017, BMC Genomics.
[14] R. Wolfe,et al. Transient effects in the Cox proportional hazards regression model. , 1995, Statistics in medicine.
[15] Jing Wang,et al. LinkedOmics: analyzing multi-omics data within and across 32 cancer types , 2017, Nucleic Acids Res..
[16] I. Jurisica,et al. Immune-enrichment of non-small cell lung cancer baseline biopsies for multiplex profiling define prognostic immune checkpoint combinations for patient stratification , 2019, Journal of Immunotherapy for Cancer.
[17] A. Hu,et al. Identification of Key Gene Modules in Human Osteosarcoma by Co‐Expression Analysis Weighted Gene Co‐Expression Network Analysis (WGCNA) , 2017, Journal of cellular biochemistry.
[18] Eric T. Dawson,et al. ReactomeFIViz: the Reactome FI Cytoscape app for pathway and network-based data analysis. , 2014, F1000Research.
[19] R. Chapkin,et al. Functional link between plasma membrane spatiotemporal dynamics, cancer biology, and dietary membrane-altering agents , 2018, Cancer and Metastasis Reviews.
[20] Dong-qing Zhang,et al. Identification of hub genes and pathways associated with bladder cancer based on co-expression network analysis. , 2017, Oncology letters.
[21] Hongyu Liu,et al. A prognostic prediction system for hepatocellular carcinoma based on gene co-expression network , 2019, Experimental and therapeutic medicine.
[22] Jianjun Hu,et al. NetLoc: Network based protein localization prediction using protein-protein interaction and co-expression networks , 2010, 2010 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
[23] Sourav Bandyopadhyay,et al. Rewiring of Genetic Networks in Response to DNA Damage , 2010, Science.
[24] I S Kohane,et al. Mutual information relevance networks: functional genomic clustering using pairwise entropy measurements. , 1999, Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing.
[25] S. Horvath,et al. Statistical Applications in Genetics and Molecular Biology , 2011 .
[26] Aric Hagberg,et al. Exploring Network Structure, Dynamics, and Function using NetworkX , 2008 .
[27] Bing Zhang,et al. Co-expression module analysis reveals biological processes, genomic gain, and regulatory mechanisms associated with breast cancer progression , 2010, BMC Systems Biology.
[28] T. Ideker,et al. Integrating phenotypic and expression profiles to map arsenic-response networks , 2004, Genome Biology.
[29] R. Sharan,et al. Protein networks in disease. , 2008, Genome research.
[30] M. J. van de Vijver,et al. Gene expression profiling in breast cancer: understanding the molecular basis of histologic grade to improve prognosis. , 2006, Journal of the National Cancer Institute.
[31] Jianjun Hu,et al. Minimalist ensemble algorithms for genome-wide protein localization prediction , 2012, BMC Bioinformatics.
[32] M. Mondal Ananda,et al. STRING PPI Score to Characterize Protein Subnetwork Biomarkers for Human Diseases and Pathways , 2014, 2014 IEEE International Conference on Bioinformatics and Bioengineering.
[33] B. Tiwary,et al. Identification of Molecular Biomarkers for Ovarian Cancer using Computational Approaches. , 2019, Carcinogenesis.
[34] Chung-Yen Lin,et al. cytoHubba: identifying hub objects and sub-networks from complex interactome , 2014, BMC Systems Biology.
[35] Jianjun Hu,et al. Network based subcellular localization prediction for multi-label proteins , 2011, 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW).
[36] Atul J. Butte,et al. Systematic survey reveals general applicability of "guilt-by-association" within gene coexpression networks , 2005, BMC Bioinformatics.
[37] Zhi-Ping Liu,et al. Detecting pathway biomarkers of diabetic progression with differential entropy , 2018, J. Biomed. Informatics.
[38] Jiangbo Ren,et al. Overexpression of ASPM, CDC20, and TTK Confer a Poorer Prognosis in Breast Cancer Identified by Gene Co-expression Network Analysis , 2019, Front. Oncol..
[39] Ting Chen,et al. Diffusion kernel-based logistic regression models for protein function prediction. , 2006, Omics : a journal of integrative biology.