Background With the advance of large-scale omics technologies, it is now feasible to
reversely engineer the underlying genetic networks that describe the complex interplays of …

Histologic transformation (HT) of follicular lymphoma to diffuse large B-cell lymphoma
(DLBCL-t) is associated with accelerated disease course and drastically worse outcome, yet …

Idiopathic pulmonary fibrosis (IPF) is characterized by fibroblast expansion and extracellular
matrix accumulation. However, the mechanisms involved in matrix remodeling have not …

Due to the large variability in survival times between cancer patients and the plethora of
genes on microarrays unrelated to outcome, building accurate prediction models that are …

Laquinimod (LAQ) is a new immunomodulatory drug shown to be effective in the treatment
of relapsing–remitting multiple sclerosis (RRMS); however, its molecular target pathways are …

In this paper, we study methods to identify differential coexpression patterns in case-control
gene expression data. A differential coexpression pattern consists of a set of genes that …

Intractable diseases such as cancer are associated with breakdown in multiple individual
functions, which conspire to create unhealthy phenotype-combinations. An important …

Background The quality of microarray data can seriously affect the accuracy of downstream
analyses. In order to reduce variability and enhance signal reproducibility in these data …

Over the last decade, important insights into the regulation of cellular responses to various
stimuli were gained by global gene expression analyses of cell populations. More recently …

The malaria parasite-resistance island (PRI) of the African mosquito vector, Anopheles
gambiae, was mapped to five genomic regions containing 80 genes, using coexpression …