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Rehan Akbani

Showing results (1-10 of 81) with videos related to

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Bioinformatics (Oxford, England)|December 19, 2019
SAMMI: a semi-automated tool for the visualization of metabolic networksAndre Schultz, Rehan Akbani
Advances in Experimental Medicine and Biology|December 11, 2019
Generation of Raw RPPA Data and Their Conversion to Analysis-Ready DataRehan Akbani, Shiyun Ling, Yiling Lu
Computational Statistics & Data Analysis|May 22, 2024
Spectral Clustering via sparse graph structure learning with application to Proteomic Signaling Networks in CancerSayantan Banerjee, Rehan Akbani, Veerabhadran Baladandayuthapani
Cancer Informatics|November 7, 2014
A comprehensive comparison of normalization methods for loading control and variance stabilization of reverse-phase protein array dataWenbin Liu, Zhenlin Ju, Yiling Lu, et al.
Molecular & Cellular Proteomics : MCP|May 3, 2018
Credentialing Individual Samples for Proteogenomic AnalysisWei Zhao, Jun Li, Rehan Akbani, et al.
Advances in Experimental Medicine and Biology|December 11, 2019
Analytical Platforms 3: Processing Samples via the RPPA Pipeline to Generate Large-Scale Data for Clinical StudiesDoris R Siwak, Jun Li, Rehan Akbani, et al.
Bioinformatics (Oxford, England)|September 11, 2019
NExUS: Bayesian simultaneous network estimation across unequal sample sizesPriyam Das, Christine B Peterson, Kim-Anh Do, et al.
Journal of the American Statistical Association|June 11, 2019
Bayesian Hierarchical Varying-sparsity Regression Models with Application to Cancer ProteogenomicsYang Ni, Francesco C Stingo, Min Jin Ha, et al.
JCO Clinical Cancer Informatics|May 7, 2020
Personalized Network Modeling of the Pan-Cancer Patient and Cell Line InteractomeRupam Bhattacharyya, Min Jin Ha, Qingzhi Liu, et al.
Cancer Research|November 3, 2017
Explore, Visualize, and Analyze Functional Cancer Proteomic Data Using the Cancer Proteome AtlasJun Li, Rehan Akbani, Wei Zhao, et al.
Pageof 9

Showing results (1-10 of 81) with videos related to

Sort By:
Pageof 9
Bioinformatics (Oxford, England)|December 19, 2019
SAMMI: a semi-automated tool for the visualization of metabolic networksAndre Schultz, Rehan Akbani
Advances in Experimental Medicine and Biology|December 11, 2019
Generation of Raw RPPA Data and Their Conversion to Analysis-Ready DataRehan Akbani, Shiyun Ling, Yiling Lu
Computational Statistics & Data Analysis|May 22, 2024
Spectral Clustering via sparse graph structure learning with application to Proteomic Signaling Networks in CancerSayantan Banerjee, Rehan Akbani, Veerabhadran Baladandayuthapani
Cancer Informatics|November 7, 2014
A comprehensive comparison of normalization methods for loading control and variance stabilization of reverse-phase protein array dataWenbin Liu, Zhenlin Ju, Yiling Lu, et al.
Molecular & Cellular Proteomics : MCP|May 3, 2018
Credentialing Individual Samples for Proteogenomic AnalysisWei Zhao, Jun Li, Rehan Akbani, et al.
Advances in Experimental Medicine and Biology|December 11, 2019
Analytical Platforms 3: Processing Samples via the RPPA Pipeline to Generate Large-Scale Data for Clinical StudiesDoris R Siwak, Jun Li, Rehan Akbani, et al.
Bioinformatics (Oxford, England)|September 11, 2019
NExUS: Bayesian simultaneous network estimation across unequal sample sizesPriyam Das, Christine B Peterson, Kim-Anh Do, et al.
Journal of the American Statistical Association|June 11, 2019
Bayesian Hierarchical Varying-sparsity Regression Models with Application to Cancer ProteogenomicsYang Ni, Francesco C Stingo, Min Jin Ha, et al.
JCO Clinical Cancer Informatics|May 7, 2020
Personalized Network Modeling of the Pan-Cancer Patient and Cell Line InteractomeRupam Bhattacharyya, Min Jin Ha, Qingzhi Liu, et al.
Cancer Research|November 3, 2017
Explore, Visualize, and Analyze Functional Cancer Proteomic Data Using the Cancer Proteome AtlasJun Li, Rehan Akbani, Wei Zhao, et al.
Pageof 9