activity
20052014
most citedPrinciples of microRNA regulation of a human cellular signaling network

310 citations · 1.1k across the 11 of their papers we have counts for

collaborators

11 papers

q-bio.GN2014★ 99 cited

Understanding genomic alterations in cancer genomes using an integrative network approach

Edwin Wang

In recent years, cancer genome sequencing and other high-throughput studies of cancer genomes have generated many notable discoveries. In this review, Novel genomic alteration mech…

q-bio.MN2014★ 107 cited

Signaling Network Assessment of Mutations and Copy Number Variations Predicts Breast Cancer Subtype-specific Drug Targets

Naif Zaman, Lei Li, Maria Jaramillo +9

Individual cancer cells carry a bewildering number of distinct genomic alterations i.e., copy number variations and mutations, making it a challenge to uncover genomic-driven mecha…

q-bio.MN2014★ 2 cited

GeneNetMiner: accurately mining gene regulatory networks from literature

Chabane Tibiche, Edwin Wang

GeneNetMiner is standalone software which parses the sentences of iHOP and captures regulatory relations. The regulatory relations are either gene gene regulations or gene biologic…

q-bio.MN2014★ 76 cited

Cancer systems biology in the genome sequencing era: Part 2, evolutionary dynamics of tumor clonal networks and drug resistance

Edwin Wang, Jinfeng Zou, Naif Zaman +3

A tumor often consists of multiple cell subpopulations (clones). Current chemo-treatments often target one clone of a tumor. Although the drug kills that clone, other clones overta…

q-bio.MN2014★ 83 cited

Cancer systems biology in the genome sequencing era: Part 1, dissecting and modeling of tumor clones and their networks

Edwin Wang, Jinfeng Zou, Naif Zaman +3

Recent tumor genome sequencing confirmed that one tumor often consists of multiple cell subpopulations (clones) which bear different, but related, genetic profiles such as mutation…

q-bio.MN2014★ 197 cited

Predictive genomics: A cancer hallmark network framework for predicting tumor clinical phenotypes using genome sequencing data

Edwin Wang, Naif Zaman, Shauna Mcgee +3

We discuss a cancer hallmark network framework for modelling genome-sequencing data to predict cancer clonal evolution and associated clinical phenotypes. Strategies of using this…