Format
Sort by
Items per page

Send to

Choose Destination

Links from PubMed

Items: 1 to 20 of 97

1.

Tumour-specific Causal Inference Discovers Distinct Disease Mechanisms Underlying Cancer Subtypes.

Xue Y, Cooper G, Cai C, Lu S, Hu B, Ma X, Lu X.

Sci Rep. 2019 Sep 13;9(1):13225. doi: 10.1038/s41598-019-48318-7.

2.

Systematic discovery of the functional impact of somatic genome alterations in individual tumors through tumor-specific causal inference.

Cai C, Cooper GF, Lu KN, Ma X, Xu S, Zhao Z, Chen X, Xue Y, Lee AV, Clark N, Chen V, Lu S, Chen L, Yu L, Hochheiser HS, Jiang X, Wang QJ, Lu X.

PLoS Comput Biol. 2019 Jul 5;15(7):e1007088. doi: 10.1371/journal.pcbi.1007088. eCollection 2019 Jul.

3.

Identification of genes and pathways involved in kidney renal clear cell carcinoma.

Yang W, Yoshigoe K, Qin X, Liu JS, Yang JY, Niemierko A, Deng Y, Liu Y, Dunker A, Chen Z, Wang L, Xu D, Arabnia HR, Tong W, Yang M.

BMC Bioinformatics. 2014;15 Suppl 17:S2. doi: 10.1186/1471-2105-15-S17-S2. Epub 2014 Dec 16.

4.

Characterization of aberrant pathways across human cancers.

Ylipää A, Yli-Harja O, Zhang W, Nykter M.

BMC Syst Biol. 2013;7 Suppl 1:S1. doi: 10.1186/1752-0509-7-S1-S1. Epub 2013 Aug 12.

5.

A computational method for clinically relevant cancer stratification and driver mutation module discovery using personal genomics profiles.

Wang L, Li F, Sheng J, Wong ST.

BMC Genomics. 2015;16 Suppl 7:S6. doi: 10.1186/1471-2164-16-S7-S6. Epub 2015 Jun 11.

6.

Improved prognostic classification of breast cancer defined by antagonistic activation patterns of immune response pathway modules.

Teschendorff AE, Gomez S, Arenas A, El-Ashry D, Schmidt M, Gehrmann M, Caldas C.

BMC Cancer. 2010 Nov 4;10:604. doi: 10.1186/1471-2407-10-604.

7.
8.

An integrative characterization of recurrent molecular aberrations in glioblastoma genomes.

Sintupisut N, Liu PL, Yeang CH.

Nucleic Acids Res. 2013 Oct;41(19):8803-21. doi: 10.1093/nar/gkt656. Epub 2013 Jul 31.

9.

Identification of Potential Crucial Genes and Key Pathways in Breast Cancer Using Bioinformatic Analysis.

Deng JL, Xu YH, Wang G.

Front Genet. 2019 Aug 2;10:695. doi: 10.3389/fgene.2019.00695. eCollection 2019.

10.

Identification of Methylation Markers and Differentially Expressed Genes with Prognostic Value in Breast Cancer.

Wu J, Zhang Y, Li M.

J Comput Biol. 2019 Jul 10. doi: 10.1089/cmb.2019.0179. [Epub ahead of print]

PMID:
31290690
11.

Specific gene expression signatures induced by the multiple oncogenic alterations that occur within the PTEN/PI3K/AKT pathway in lung cancer.

De Marco C, Laudanna C, Rinaldo N, Oliveira DM, Ravo M, Weisz A, Ceccarelli M, Caira E, Rizzuto A, Zoppoli P, Malanga D, Viglietto G.

PLoS One. 2017 Jun 29;12(6):e0178865. doi: 10.1371/journal.pone.0178865. eCollection 2017.

12.

Molecular mechanisms underlying gliomas and glioblastoma pathogenesis revealed by bioinformatics analysis of microarray data.

Vastrad B, Vastrad C, Godavarthi A, Chandrashekar R.

Med Oncol. 2017 Sep 26;34(11):182. doi: 10.1007/s12032-017-1043-x.

PMID:
28952134
13.

Profiling the tyrosine phosphoproteome of different mouse mammary tumour models reveals distinct, model-specific signalling networks and conserved oncogenic pathways.

Ali NA, Wu J, Hochgräfe F, Chan H, Nair R, Ye S, Zhang L, Lyons RJ, Pinese M, Lee HC, Armstrong N, Ormandy CJ, Clark SJ, Swarbrick A, Daly RJ.

Breast Cancer Res. 2014 Sep 9;16(5):437. doi: 10.1186/s13058-014-0437-3.

14.

Identification of Key Genes and Pathways in Cervical Cancer by Bioinformatics Analysis.

Wu X, Peng L, Zhang Y, Chen S, Lei Q, Li G, Zhang C.

Int J Med Sci. 2019 Jun 2;16(6):800-812. doi: 10.7150/ijms.34172. eCollection 2019.

15.

A pan-cancer modular regulatory network analysis to identify common and cancer-specific network components.

Knaack SA, Siahpirani AF, Roy S.

Cancer Inform. 2014 Oct 28;13(Suppl 5):69-84. doi: 10.4137/CIN.S14058. eCollection 2014.

16.

Identification of aberrantly methylated differentially expressed genes in breast cancer by integrated bioinformatics analysis.

Yi L, Luo P, Zhang J.

J Cell Biochem. 2019 Sep;120(9):16229-16243. doi: 10.1002/jcb.28904. Epub 2019 May 12.

PMID:
31081184
17.

Identification of differentially expressed genes regulated by molecular signature in breast cancer-associated fibroblasts by bioinformatics analysis.

Vastrad B, Vastrad C, Tengli A, Iliger S.

Arch Gynecol Obstet. 2018 Jan;297(1):161-183. doi: 10.1007/s00404-017-4562-y. Epub 2017 Oct 23.

PMID:
29063236
18.

Identification of differentially expressed genes, associated functional terms pathways, and candidate diagnostic biomarkers in inflammatory bowel diseases by bioinformatics analysis.

Cheng C, Hua J, Tan J, Qian W, Zhang L, Hou X.

Exp Ther Med. 2019 Jul;18(1):278-288. doi: 10.3892/etm.2019.7541. Epub 2019 May 3.

19.

DNA methylation profiling of non-small cell lung cancer reveals a COPD-driven immune-related signature.

Wauters E, Janssens W, Vansteenkiste J, Decaluwé H, Heulens N, Thienpont B, Zhao H, Smeets D, Sagaert X, Coolen J, Decramer M, Liston A, De Leyn P, Moisse M, Lambrechts D.

Thorax. 2015 Dec;70(12):1113-22. doi: 10.1136/thoraxjnl-2015-207288. Epub 2015 Sep 8.

PMID:
26349763
20.

Network analysis of genomic alteration profiles reveals co-altered functional modules and driver genes for glioblastoma.

Gu Y, Wang H, Qin Y, Zhang Y, Zhao W, Qi L, Zhang Y, Wang C, Guo Z.

Mol Biosyst. 2013 Mar;9(3):467-77. doi: 10.1039/c2mb25528f. Epub 2013 Jan 23.

PMID:
23344900

Supplemental Content

Support Center