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Items: 1 to 20 of 417

1.

Proteomic characterization of paired non-malignant and malignant African-American prostate epithelial cell lines distinguishes them by structural proteins.

Myers JS, Vallega KA, White J, Yu K, Yates CC, Sang QA.

BMC Cancer. 2017 Jul 11;17(1):480. doi: 10.1186/s12885-017-3462-7.

2.

A Novel Unsupervised Algorithm for Biological Process-based Analysis on Cancer.

Song T, Cao S, Tao S, Liang S, Du W, Liang Y.

Sci Rep. 2017 Jul 5;7(1):4671. doi: 10.1038/s41598-017-04961-6.

3.

NFPscanner: a webtool for knowledge-based deciphering of biomedical networks.

Xu W, Cao Y, Xie Z, He H, He S, Hong H, Bo X, Li F.

BMC Bioinformatics. 2017 May 18;18(1):262. doi: 10.1186/s12859-017-1673-1.

4.

Network modelling of gene regulation.

Ho JWK, Charleston MA.

Biophys Rev. 2011 Mar;3(1):1-13. doi: 10.1007/s12551-010-0041-4. Epub 2010 Dec 23.

5.

Systematic analysis of gene expression alterations and clinical outcomes of adenylate cyclase-associated protein in cancer.

Xie S, Shen C, Tan M, Li M, Song X, Wang C.

Oncotarget. 2017 Apr 18;8(16):27216-27239. doi: 10.18632/oncotarget.16111.

6.

Integrative clustering reveals a novel split in the luminal A subtype of breast cancer with impact on outcome.

Aure MR, Vitelli V, Jernström S, Kumar S, Krohn M, Due EU, Haukaas TH, Leivonen SK, Vollan HK, Lüders T, Rødland E, Vaske CJ, Zhao W, Møller EK, Nord S, Giskeødegård GF, Bathen TF, Caldas C, Tramm T, Alsner J, Overgaard J, Geisler J, Bukholm IR, Naume B, Schlichting E, Sauer T, Mills GB, Kåresen R, Mælandsmo GM, Lingjærde OC, Frigessi A, Kristensen VN, Børresen-Dale AL, Sahlberg KK; OSBREAC.

Breast Cancer Res. 2017 Mar 29;19(1):44. doi: 10.1186/s13058-017-0812-y.

7.

RCAS: an RNA centric annotation system for transcriptome-wide regions of interest.

Uyar B, Yusuf D, Wurmus R, Rajewsky N, Ohler U, Akalin A.

Nucleic Acids Res. 2017 Jun 2;45(10):e91. doi: 10.1093/nar/gkx120.

8.

Detection of Pathways Affected by Positive Selection in Primate Lineages Ancestral to Humans.

Daub JT, Moretti S, Davydov II, Excoffier L, Robinson-Rechavi M.

Mol Biol Evol. 2017 Jun 1;34(6):1391-1402. doi: 10.1093/molbev/msx083.

9.

Inhibition of fat cell differentiation in 3T3-L1 pre-adipocytes by all-trans retinoic acid: Integrative analysis of transcriptomic and phenotypic data.

Stoecker K, Sass S, Theis FJ, Hauner H, Pfaffl MW.

Biomol Detect Quantif. 2016 Nov 21;11:31-44. doi: 10.1016/j.bdq.2016.11.001. eCollection 2017 Mar.

10.

Metallothionein 1H (MT1H) functions as a tumor suppressor in hepatocellular carcinoma through regulating Wnt/β-catenin signaling pathway.

Zheng Y, Jiang L, Hu Y, Xiao C, Xu N, Zhou J, Zhou X.

BMC Cancer. 2017 Feb 28;17(1):161. doi: 10.1186/s12885-017-3139-2.

11.

Drug voyager: a computational platform for exploring unintended drug action.

Oh M, Ahn J, Lee T, Jang G, Park C, Yoon Y.

BMC Bioinformatics. 2017 Feb 28;18(1):131. doi: 10.1186/s12859-017-1558-3.

12.

Estimation of Directed Acyclic Graphs Through Two-stage Adaptive Lasso for Gene Network Inference.

Han SW, Chen G, Cheon MS, Zhong H.

J Am Stat Assoc. 2016;111(515):1004-1019. doi: 10.1080/01621459.2016.1142880. Epub 2016 Oct 18.

PMID:
28239216
13.

gsSKAT: Rapid gene set analysis and multiple testing correction for rare-variant association studies using weighted linear kernels.

Larson NB, McDonnell S, Cannon Albright L, Teerlink C, Stanford J, Ostrander EA, Isaacs WB, Xu J, Cooney KA, Lange E, Schleutker J, Carpten JD, Powell I, Bailey-Wilson JE, Cussenot O, Cancel-Tassin G, Giles GG, MacInnis RJ, Maier C, Whittemore AS, Hsieh CL, Wiklund F, Catolona WJ, Foulkes W, Mandal D, Eeles R, Kote-Jarai Z, Ackerman MJ, Olson TM, Klein CJ, Thibodeau SN, Schaid DJ.

Genet Epidemiol. 2017 May;41(4):297-308. doi: 10.1002/gepi.22036. Epub 2017 Feb 16.

PMID:
28211093
14.

A Comprehensive Gene Expression Meta-analysis Identifies Novel Immune Signatures in Rheumatoid Arthritis Patients.

Afroz S, Giddaluru J, Vishwakarma S, Naz S, Khan AA, Khan N.

Front Immunol. 2017 Feb 2;8:74. doi: 10.3389/fimmu.2017.00074. eCollection 2017.

15.

Multiscale mutation clustering algorithm identifies pan-cancer mutational clusters associated with pathway-level changes in gene expression.

Poole W, Leinonen K, Shmulevich I, Knijnenburg TA, Bernard B.

PLoS Comput Biol. 2017 Feb 7;13(2):e1005347. doi: 10.1371/journal.pcbi.1005347. eCollection 2017 Feb. Erratum in: PLoS Comput Biol. 2017 Apr 6;13(4):e1005472.

16.

Prioritizing biological pathways by recognizing context in time-series gene expression data.

Lee J, Jo K, Lee S, Kang J, Kim S.

BMC Bioinformatics. 2016 Dec 23;17(Suppl 17):477. doi: 10.1186/s12859-016-1335-8.

17.

The use of gene interaction networks to improve the identification of cancer driver genes.

Ramsahai E, Walkins K, Tripathi V, John M.

PeerJ. 2017 Jan 26;5:e2568. doi: 10.7717/peerj.2568. eCollection 2017.

18.

Meta-analytic support vector machine for integrating multiple omics data.

Kim S, Jhong JH, Lee J, Koo JY.

BioData Min. 2017 Jan 26;10:2. doi: 10.1186/s13040-017-0126-8. eCollection 2017. Erratum in: BioData Min. 2017 Feb 14;10 :8.

19.

The integration of weighted human gene association networks based on link prediction.

Yang J, Yang T, Wu D, Lin L, Yang F, Zhao J.

BMC Syst Biol. 2017 Jan 31;11(1):12. doi: 10.1186/s12918-017-0398-0.

20.

MEDICI: Mining Essentiality Data to Identify Critical Interactions for Cancer Drug Target Discovery and Development.

Harati S, Cooper LA, Moran JD, Giuste FO, Du Y, Ivanov AA, Johns MA, Khuri FR, Fu H, Moreno CS.

PLoS One. 2017 Jan 24;12(1):e0170339. doi: 10.1371/journal.pone.0170339. eCollection 2017.

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