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Items: 5

1.

An Integrative Analysis of Tumor Proteomic and Phosphoproteomic Profiles to Examine the Relationships Between Kinase Activity and Phosphorylation.

Arshad OA, Danna V, Petyuk VA, Piehowski PD, Liu T, Rodland KD, McDermott JE.

Mol Cell Proteomics. 2019 Aug 9;18(8 suppl 1):S26-S36. doi: 10.1074/mcp.RA119.001540. Epub 2019 Jun 21.

2.

Proteogenomic Analysis of Human Colon Cancer Reveals New Therapeutic Opportunities.

Vasaikar S, Huang C, Wang X, Petyuk VA, Savage SR, Wen B, Dou Y, Zhang Y, Shi Z, Arshad OA, Gritsenko MA, Zimmerman LJ, McDermott JE, Clauss TR, Moore RJ, Zhao R, Monroe ME, Wang YT, Chambers MC, Slebos RJC, Lau KS, Mo Q, Ding L, Ellis M, Thiagarajan M, Kinsinger CR, Rodriguez H, Smith RD, Rodland KD, Liebler DC, Liu T, Zhang B; Clinical Proteomic Tumor Analysis Consortium.

Cell. 2019 May 2;177(4):1035-1049.e19. doi: 10.1016/j.cell.2019.03.030. Epub 2019 Apr 25.

3.

Examining De Novo Transcriptome Assemblies via a Quality Assessment Pipeline.

Ghaffari N, Arshad OA, Jeong H, Thiltges J, Criscitiello MF, Yoon BJ, Datta A, Johnson CD.

IEEE/ACM Trans Comput Biol Bioinform. 2018 Mar-Apr;15(2):494-505. doi: 10.1109/TCBB.2015.2446478.

PMID:
29610098
4.

Towards targeted combinatorial therapy design for the treatment of castration-resistant prostate cancer.

Arshad OA, Datta A.

BMC Bioinformatics. 2017 Mar 22;18(Suppl 4):134. doi: 10.1186/s12859-017-1522-2.

5.

Using Boolean Logic Modeling of Gene Regulatory Networks to Exploit the Links Between Cancer and Metabolism for Therapeutic Purposes.

Arshad OA, Venkatasubramani PS, Datta A, Venkatraj J.

IEEE J Biomed Health Inform. 2016 Jan;20(1):399-407. doi: 10.1109/JBHI.2014.2368391. Epub 2014 Nov 6.

PMID:
25389247

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