Lack of a general matrix formula hampers implementation of the semi-partial correlation,
also known as part correlation, to the higher-order coefficient. This is because the higher …

Gene co-expression network analysis has been shown effective in identifying functional co-
expressed gene modules associated with complex human diseases. However, existing …

Livestock genomics has gone through a paradigm shift since the advent of genome
sequencing that includes Genome-Wide Association Studies (GWAS), Whole Genome …

Motivation: Although transcription factors (TF) play a central regulatory role, their detection
from expression data is limited due to their low, and often sparse, expression. In order to fill …

Background With the increase in the amount of DNA methylation and gene expression data,
the epigenetic mechanisms of cancers can be extensively investigate. Available methods …

Background Milk quality in dairy cattle is routinely assessed via analysis of mid-infrared
(MIR) spectra; this approach can also be used to predict the milk's cheese-making properties …

The objective of this study was to identify single nucleotide polymorphisms and gene
networks associated with 3 fertility traits in dairy cattle—daughter pregnancy rate, heifer …

Cancer progression is dynamic, and tracking dynamic modules is promising for cancer
diagnosis and therapy. Accumulated genomic data provide us an opportunity to investigate …

The domestic water buffalo (Bubalus bubalis) makes a major contribution to the global
agricultural economy in the form of milk, meat, hides, and draught power. The global water …

Background Estimating inbreeding, which is omnipresent and inevitable in livestock
populations, is a primary goal for management and animal breeding especially for those …