• 38587 Citations
  • 51 h-Index
20032019
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Fingerprint Dive into the research topics where Rehan Akbani is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 24 Similar Profiles
Neoplasms Medicine & Life Sciences
Atlases Medicine & Life Sciences
Genes Chemical Compounds
Genome Medicine & Life Sciences
Tumors Chemical Compounds
Mutation Medicine & Life Sciences
Protein Array Analysis Medicine & Life Sciences
Proteomics Medicine & Life Sciences

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Research Output 2003 2019

Bayesian Hierarchical Varying-Sparsity Regression Models with Application to Cancer Proteogenomics

Ni, Y., Stingo, F. C., Ha, M. J., Akbani, R. & Baladandayuthapani, V., Jan 2 2019, In : Journal of the American Statistical Association. 114, 525, p. 48-60 13 p.

Research output: Contribution to journalArticle

Sparsity
Regression Model
Cancer
Proteomics
Protein

Identification and validation of a prognostic proteomic signature for cervical cancer

Rader, J. S., Pan, A., Corbin, B., Iden, M., Lu, Y., Vellano, C. P., Akbani, R., Mills, G. B. & Simpson, P., Jan 1 2019, (Accepted/In press) In : Gynecologic oncology.

Research output: Contribution to journalArticle

Uterine Cervical Neoplasms
Proteomics
Atlases
Protein Array Analysis
Genome
10 Citations (Scopus)

Next-generation characterization of the Cancer Cell Line Encyclopedia

Ghandi, M., Huang, F. W., Jané-Valbuena, J., Kryukov, G. V., Lo, C. C., McDonald, E. R., Barretina, J., Gelfand, E. T., Bielski, C. M., Li, H., Hu, K., Andreev-Drakhlin, A. Y., Kim, J., Hess, J. M., Haas, B. J., Aguet, F., Weir, B. A., Rothberg, M. V., Paolella, B. R., Lawrence, M. S. & 48 others, Akbani, R., Lu, Y., Tiv, H. L., Gokhale, P. C., de Weck, A., Mansour, A. A., Oh, C., Shih, J., Hadi, K., Rosen, Y., Bistline, J., Venkatesan, K., Reddy, A., Sonkin, D., Liu, M., Lehar, J., Korn, J. M., Porter, D. A., Jones, M. D., Golji, J., Caponigro, G., Taylor, J. E., Dunning, C. M., Creech, A. L., Warren, A. C., McFarland, J. M., Zamanighomi, M., Kauffmann, A., Stransky, N., Imielinski, M., Maruvka, Y. E., Cherniack, A. D., Tsherniak, A., Vazquez, F., Jaffe, J. D., Lane, A. A., Weinstock, D. M., Johannessen, C. M., Morrissey, M. P., Stegmeier, F., Schlegel, R., Hahn, W. C., Getz, G., Mills, G. B., Boehm, J. S., Golub, T. R., Garraway, L. A. & Sellers, W. R., Jan 1 2019, In : Nature.

Research output: Contribution to journalArticle

Encyclopedias
Cell Line
Neoplasms
Histone Code
Pharmaceutical Preparations
1 Citation (Scopus)

Spectral clustering via sparse graph structure learning with application to proteomic signaling networks in cancer

Banerjee, S., Akbani, R. & Baladandayuthapani, V., Apr 1 2019, In : Computational Statistics and Data Analysis. 132, p. 46-69 24 p.

Research output: Contribution to journalArticle

Spectral Clustering
Structure Learning
Sparse Graphs
Proteomics
Cancer

TCPA v3.0: An Integrative Platform to Explore the Pan-Cancer Analysis of Functional Proteomic Data

Chen, M. J. M., Li, J., Wang, Y., Akbani, R., Lu, Y., Mills, G. B. & Liang, H., Aug 9 2019, In : Molecular & cellular proteomics : MCP. 18, 8, p. S15-S25

Research output: Contribution to journalArticle

Open Access
Atlases
Proteome
Proteomics
Neoplasms
Proteins