Iteratively refining breast cancer intrinsic subtypes in the METABRIC dataset
Multi-gene lists and single sample predictor models have been currently used to reduce the multidimensional complexity of breast cancers, and to identify intrinsic subtypes. The perceived inability of some mod... (Source: BioData Mining)
Source: BioData Mining - January 13, 2016 Category: Bioinformatics Authors: Heloisa H. Milioli, Renato Vimieiro, Inna Tishchenko, Carlos Riveros, Regina Berretta and Pablo Moscato Source Type: research
A call for biological data mining approaches in epidemiology
(Source: BioData Mining)
Source: BioData Mining - January 4, 2016 Category: Bioinformatics Authors: Shannon M. Lynch and Jason H. Moore Source Type: research
Characterizing gene-gene interactions in a statistical epistasis network of twelve candidate genes for obesity
Recent findings have reemphasized the importance of epistasis, or gene-gene interactions, as a contributing factor to the unexplained heritability of obesity. Network-based methods such as statistical epistasis n... (Source: BioData Mining)
Source: BioData Mining - December 29, 2015 Category: Bioinformatics Authors: Rishika De, Ting Hu, Jason H. Moore and Diane Gilbert-Diamond Source Type: research
Characterizing gene-gene interactions in a statistical epistasis network of twelve candidate genes for obesity
Conclusion:
This study presents an analytical framework to characterize the global landscape of genetic interactions from genome-wide arrays and also to discover nodes of potential biological significance within the identified network. (Source: BioData Mining)
Source: BioData Mining - December 29, 2015 Category: Bioinformatics Authors: Rishika DeTing HuJason MooreDiane Gilbert-Diamond Source Type: research
Non-coding yet non-trivial: a review on the computational genomics of lincRNAs
Long intergenic non-coding RNAs (lincRNAs) represent one of the most mysterious RNA species encoded by the human genome. Thanks to next generation sequencing (NGS) technology and its applications, we have recently witnessed a surge in non-coding RNA research, including lincRNA research. Here, we summarize the recent advancement in genomics studies of lincRNAs. We review the emerging characteristics of lincRNAs, the experimental and computational approaches to identify lincRNAs, their known mechanisms of regulation, the computational methods and resources for lincRNA functional predictions, and discuss the challenges to und...
Source: BioData Mining - December 22, 2015 Category: Bioinformatics Authors: Travers ChingJayson MasakiJason WeiratherLana Garmire Source Type: research
