Publications

Included here is a list of publications from OCG programs. All published data are available to the research community through the program-specific data matrices.

* denotes publications from the CTD2 initiative that are results of intra-Network collaborations

 

CTD²
January 01, 2015
Proceedings of the Pacific Symposium on Biocomputing 2014

Investigators evaluated over 110,000 algorithms for predicting compound sensitivity, and provide modeling guidelines.

CTD²
December 19, 2014
Advances in Cancer Research

Researchers discuss the etiology of  oligodendrocyte progenitor cells-derived gliomas and reveal new therapeutic avenues.

CTD²
December 18, 2014
Molecular Cancer Therapy

The results suggest that AURK inhibition subsequent to radiation,may enhance the efficacy of radiotherapy in human glioblastomas.

CTD²
December 17, 2014
Cancer Research

Vitamin D receptor agonists may show enhanced efficacy in p53-negative lung cancer patients.

CTD²
December 12, 2014
BMC Genomics

Researchers present a novel method for Cancer Module Discovery, CaMoDi, and demonstrate through extensive simulations on the TCGA Pan-Cancer dataset.

CTD²
December 12, 2014
Trends in Genetics

The authors provide an overview of the evolution of phenotypic small-molecule profiling and discuss the most significant and recent profiling efforts.

CTD²
December 04, 2014
Oncogene

Researchers investigated GATA6-regulated genes to identify targets for drug therapy for GATA6-overexpressing gastric cancers.

CTD²
December 01, 2014
Nature Biotechnology

To identify possible drug combinations the DREAM consortium initiated a challenge to rank the synergy of 91 compound pairs.

CTD²
November 27, 2014
Journal of National Cancer Institute

This is an editorial comment on "Therapeutic effects of an anti-Myc drug on mouse pancreatic cancer" published in J Natl Cancer Inst

CTD²
November 19, 2014
BMC Genomics

Researchers discuss a method termed Tree Branches Evaluated Statistically for Tightness (TBEST) for identifying significantly distinct tree branches in hierarchical clusters.

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