Detecting Dysregulated Processes and Pathways
作者： Daniel Stöckel , Hans-Peter Lenhof
DOI: 10.1002/9783527672165.CH14
关键词: Computational biology 、 Bioinformatics 、 Computer science 、 Biological network
摘要:
sci-hub.se 参考文章(102)
Sorin Drǎghici, Purvesh Khatri, Rui P. Martins, G.Charles Ostermeier, Stephen A. Krawetz, Global functional profiling of gene expression. Genomics. ,vol. 81, pp. 98- 104 ,(2003) , 10.1016/S0888-7543(02)00021-6
Tian-Ping Shuai, Xiao-Dong Hu, Connected Set Cover Problem and Its Applications Algorithmic Aspects in Information and Management. pp. 243- 254 ,(2006) , 10.1007/11775096_23
A. P. Dempster, A HIGH DIMENSIONAL TWO SAMPLE SIGNIFICANCE TEST Annals of Mathematical Statistics. ,vol. 29, pp. 995- 1010 ,(1958) , 10.1214/AOMS/1177706437
Alberto de la Fuente, From ‘differential expression’ to ‘differential networking’ – identification of dysfunctional regulatory networks in diseases Trends in Genetics. ,vol. 26, pp. 326- 333 ,(2010) , 10.1016/J.TIG.2010.05.001
Mark R. Fielden, Richard Brennan, Jeremy Gollub, A Gene Expression Biomarker Provides Early Prediction and Mechanistic Assessment of Hepatic Tumor Induction by Nongenotoxic Chemicals Toxicological Sciences. ,vol. 99, pp. 90- 100 ,(2007) , 10.1093/TOXSCI/KFM156
PAUL J. ROBACK, ROBERT A. ASKINS, Judicious Use of Multiple Hypothesis Tests Conservation Biology. ,vol. 19, pp. 261- 267 ,(2005) , 10.1111/J.1523-1739.2005.00269.X
Christine Vogel, Edward M. Marcotte, Insights into the regulation of protein abundance from proteomic and transcriptomic analyses Nature Reviews Genetics. ,vol. 13, pp. 227- 232 ,(2012) , 10.1038/NRG3185
Chikako Ragan, Michael Zuker, Mark A. Ragan, Quantitative Prediction of miRNA-mRNA Interaction Based on Equilibrium Concentrations PLoS Computational Biology. ,vol. 7, pp. e1001090- ,(2011) , 10.1371/JOURNAL.PCBI.1001090
Zhong Wang, Mark Gerstein, Michael Snyder, RNA-Seq: a revolutionary tool for transcriptomics Nature Reviews Genetics. ,vol. 10, pp. 57- 63 ,(2009) , 10.1038/NRG2484
Marit Ackermann, Korbinian Strimmer, A general modular framework for gene set enrichment analysis. BMC Bioinformatics. ,vol. 10, pp. 47- 47 ,(2009) , 10.1186/1471-2105-10-47