A new DNA sequence entropy-based Kullback-Leibler algorithm for gene clustering
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Applied Genetics"
DOI: 10.1007/s13353-020-00543-x
Abstract: Information theory is a branch of mathematics that overlaps with communications, biology, and medical engineering. Entropy is a measure of uncertainty in the set of information. In this study, for each gene and its exons… read more here.
Keywords: gene; entropy; gene clustering; kullback leibler ... See more keywords
Comparing large covariance matrices under weak conditions on the dependence structure and its application to gene clustering.
Sign Up to like & getrecommendations! Published in 2017 at "Biometrics"
DOI: 10.1111/biom.12552
Abstract: Comparing large covariance matrices has important applications in modern genomics, where scientists are often interested in understanding whether relationships (e.g., dependencies or co-regulations) among a large number of genes vary between different biological states. We… read more here.
Keywords: covariance matrices; covariance; large covariance; gene clustering ... See more keywords