Rehan Akbani

TL;DR: It is shown that integrating protein response signals substantially increases the predictive power for drug sensitivity and aids in gaining insights into mechanisms of drug resistance, and a systematic map of protein-drug connectivity is built and developed.

TL;DR: This paper delineated the factors associated with building the SVM based RS and then proposed and evaluated the technique, and showed that the RS significantly outperforms TrustGuard and correctly distinguishes between good and malicious nodes with high accuracy.

TL;DR: A novel regression framework, Bayesian hierarchical varying-sparsity regression (BEHAVIOR) models to select clinically relevant disease markers by integrating proteogenomic (proteomic+genomic) and clinical data and finds several interesting prognostic proteins and pathways that are shared across multiple cancers and some that exclusively pertain to specific cancers.

TL;DR: The findings demonstrate the power of pan-cancer proteomic analysis, identifying several novel single-tumor and cross-Tumor targets and pathways and supporting the ability of RPPA analysis to yield high-quality information from TCGA samples.

TL;DR: This work studies packet authentication in wireless networks and proposes a Hop-by-hop, Efficient Authentication Protocol, called HEAP, which authenticates packets at every hop by using a modified HMAC-based algorithm along with two keys and drops any packets that originate from outsiders.