R
Rehan Akbani
Researcher at University of Texas MD Anderson Cancer Center
Publications - 134
Citations - 106557
Rehan Akbani is an academic researcher from University of Texas MD Anderson Cancer Center. The author has contributed to research in topics: Gene & Cancer. The author has an hindex of 65, co-authored 124 publications receiving 84443 citations. Previous affiliations of Rehan Akbani include University of Texas at San Antonio & National Institutes of Health.
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Journal ArticleDOI
Personalized Network Modeling of the Pan-Cancer Patient and Cell Line Interactome.
Rupam Bhattacharyya,Min Jin Ha,Qingzhi Liu,Rehan Akbani,Han Liang,Veerabhadran Baladandayuthapani +5 more
TL;DR: This study provides a generalizable analytic framework to assess the translational potential of preclinical model systems and to guide pathway-based personalized medical decision making, integrating genomic and molecular data across model systems.
Proceedings ArticleDOI
Defending against malicious nodes using an SVM based Reputation System
TL;DR: This paper proposes a support vector machines (SVM) based RS that defends against many patterns of attacks and can be retrained to detect new attack patterns as well, and shows that this RS significantly outperforms TrustGuard.
Journal ArticleDOI
Spectral clustering via sparse graph structure learning with application to proteomic signaling networks in cancer
TL;DR: The arguments for Laplacian embeddings as suitable projections for graph clustering are formalized by providing theoretical support for the consistency of the eigenspace of the estimated graph LaPLacians.
Journal ArticleDOI
Corrigendum: A pan-cancer proteomic perspective on The Cancer Genome Atlas.
Rehan Akbani,Patrick Kwok Shing Ng,Henrica M.J. Werner,Maria Shahmoradgoli,Fan Zhang,Zhenlin Ju,Wen-Bin Liu,Ji Yeon Yang,Kosuke Yoshihara,Jun Li,Shiyun Ling,Elena G. Seviour,Prahlad T. Ram,John D. Minna,Lixia Diao,Pan Tong,John V. Heymach,Steven M. Hill,Frank Dondelinger,Nicolas Städler,Lauren Averett Byers,Funda Meric-Bernstam,John N. Weinstein,Bradley M. Broom,Roeland Verhaak,Han Liang,Sach Mukherjee,Yiling Lu,Gordon B. Mills +28 more
TL;DR: This Article contains an error in the Author contributions section that has resulted in incorrect credit for supervision of the network analysis.
Journal ArticleDOI
Identification and validation of a prognostic proteomic signature for cervical cancer.
Janet S. Rader,Amy Pan,Bradley Corbin,Marissa Iden,Yiling Lu,Christopher P. Vellano,Rehan Akbani,Gordon B. Mills,Pippa Simpson +8 more
TL;DR: A signature of 22 antibodies which accurately predicted survival outcome in 2 separate groups of ICC patients are provided and an algorithm based on 22 unique antibodies (SAAs) that stratified women with ICC into low-, medium-, or high-risk survival groups is developed.