Now showing items 1-6 of 6
A Local Genetic Algorithm for the Identification of Condition-Specific MicroRNA-Gene Modules
(Hindawi Publishing Corporation, 2013)
Transcription factor and microRNA are two types of key regulators of gene expression. Their regulatory mechanisms are highly complex. In this study, we propose a computational method to predict condition-specic regulatory ...
Genome-Wide Progesterone Receptor Binding: Cell Type- Specific and Shared Mechanisms in T47D Breast Cancer Cells and Primary Leiomyoma Cells
(PLoS One, 2012)
Background: Progesterone, via its nuclear receptor (PR), exerts an overall tumorigenic effect on both uterine fibroid (leiomyoma) and breast cancer tissues, whereas the antiprogestin RU486 inhibits growth of these tissues ...
An Integrated Bioinformatics Approach Identifies Elevated Cyclin E2 Expression and E2F Activity as Distinct Features of Tamoxifen Resistant Breast Tumors
(Public Library of Science, 2011-07-15)
Approximately half of estrogen receptor (ER) positive breast tumors will fail to respond to endocrine therapy. Here we used an integrative bioinformatics approach to analyze three gene expression profiling data sets from ...
Using LASSO regression to detect predictive aggregate effects in genetic studies
(BioMed Central, 2010-10)
We use least absolute shrinkage and selection operator (LASSO) regression to select genetic markers and phenotypic features that are most informative with respect to a trait of interest. We compare several strategies ...
On Simplified Global Nonlinear Function for Fitness Landscape: A Case Study of Inverse Protein Folding
(Public Library of Science, 2014-08-11)
The construction of fitness landscape has broad implication in understanding molecular evolution, cellular epigenetic state, and protein structures. We studied the problem of constructing fitness landscape of inverse protein ...
Identifying transcription factors and microRNAs as key regulators of pathways using Bayesian inference on known pathway structures
(BioMed Central, 2012-06)
Background: Transcription factors and microRNAs act in concert to regulate gene expression in eukaryotes. Numerous computational methods based on sequence information are available for the prediction of target genes of ...