Zhang J - Search Results

1

Correlation Analysis of Histopathology and Proteogenomics Data for Breast Cancer.

Zhan X, Cheng J, Huang Z, Han Z, Helm B, Liu X, Zhang J, Wang TF, Ni D, Huang K. Zhan X, et al. Among authors: zhang j. Mol Cell Proteomics. 2019 Aug 9;18(8 suppl 1):S37-S51. doi: 10.1074/mcp.RA118.001232. Epub 2019 Jul 8. Mol Cell Proteomics. 2019. PMID: 31285282 Free PMC article.

2

Using Frequent Co-expression Network to Identify Gene Clusters for Breast Cancer Prognosis.

Zhang J, Huang K, Xiang Y, Jin R. Zhang J, et al. Proc Int Joint Conf Bioinforma Syst Biol Intell Comput. 2009 Aug 3:428-434. doi: 10.1109/IJCBS.2009.29. Proc Int Joint Conf Bioinforma Syst Biol Intell Comput. 2009. PMID: 23615925 Free PMC article.

3

Mining the tissue-tissue gene co-expression network for tumor microenvironment study and biomarker prediction.

Xiang Y, Zhang J, Huang K. Xiang Y, et al. Among authors: zhang j. BMC Genomics. 2013;14 Suppl 5(Suppl 5):S4. doi: 10.1186/1471-2164-14-S5-S4. Epub 2013 Oct 16. BMC Genomics. 2013. PMID: 24564578 Free PMC article.

4

Normalized lmQCM: An Algorithm for Detecting Weak Quasi-Cliques in Weighted Graph with Applications in Gene Co-Expression Module Discovery in Cancers.

Zhang J, Huang K. Zhang J, et al. Cancer Inform. 2016 Jul 24;13(Suppl 3):137-46. doi: 10.4137/CIN.S14021. eCollection 2014. Cancer Inform. 2016. PMID: 27486298 Free PMC article.

5

Integrative analysis of somatic mutations and transcriptomic data to functionally stratify breast cancer patients.

Zhang J, Abrams Z, Parvin JD, Huang K. Zhang J, et al. BMC Genomics. 2016 Aug 22;17 Suppl 7(Suppl 7):513. doi: 10.1186/s12864-016-2902-0. BMC Genomics. 2016. PMID: 27556157 Free PMC article.

6

A matrix rank based concordance index for evaluating and detecting conditional specific co-expressed gene modules.

Han Z, Zhang J, Sun G, Liu G, Huang K. Han Z, et al. Among authors: zhang j. BMC Genomics. 2016 Aug 22;17 Suppl 7(Suppl 7):519. doi: 10.1186/s12864-016-2912-y. BMC Genomics. 2016. PMID: 27556416 Free PMC article.

7

Gene Co-Expression Analysis Predicts Genetic Variants Associated with Drug Responsiveness in Lung Cancer.

Shroff S, Zhang J, Huang K. Shroff S, et al. Among authors: zhang j. AMIA Jt Summits Transl Sci Proc. 2016 Jul 20;2016:32-41. eCollection 2016. AMIA Jt Summits Transl Sci Proc. 2016. PMID: 27570645 Free PMC article.

8

Pan-cancer analysis of frequent DNA co-methylation patterns reveals consistent epigenetic landscape changes in multiple cancers.

Zhang J, Huang K. Zhang J, et al. BMC Genomics. 2017 Jan 25;18(Suppl 1):1045. doi: 10.1186/s12864-016-3259-0. BMC Genomics. 2017. PMID: 28198667 Free PMC article.

9

Functional Virtual Flow Cytometry: A Visual Analytic Approach for Characterizing Single-Cell Gene Expression Patterns.

Han Z, Johnson T, Zhang J, Zhang X, Huang K. Han Z, et al. Among authors: zhang j, zhang x. Biomed Res Int. 2017;2017:3035481. doi: 10.1155/2017/3035481. Epub 2017 Jul 17. Biomed Res Int. 2017. PMID: 28798928 Free PMC article.

10

Integrative Analysis of Histopathological Images and Genomic Data Predicts Clear Cell Renal Cell Carcinoma Prognosis.

Cheng J, Zhang J, Han Y, Wang X, Ye X, Meng Y, Parwani A, Han Z, Feng Q, Huang K. Cheng J, et al. Among authors: zhang j. Cancer Res. 2017 Nov 1;77(21):e91-e100. doi: 10.1158/0008-5472.CAN-17-0313. Cancer Res. 2017. PMID: 29092949 Free PMC article.

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