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Intrinsically Multivariate Predictive Genes
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2008)
Canalizing genes possess such broad regulatory power, and their action sweeps across a such a wide swath of processes that the full set of affected genes are not highly correlated under normal conditions. When not active, ...
Discriminative local subspaces in gene expression data for effective gene function prediction
(2012)
MOTIVATION: Massive amounts of genome-wide gene expression data have become available, motivating the development of computational approaches that leverage this information to predict gene function. Among successful ...
Discriminative local subspaces in gene expression data for effective gene function prediction
(2012)
MOTIVATION:Massive amounts of genome-wide gene expression data have become available, motivating the development of computational approaches that leverage this information to predict gene function. Among successful approaches, ...
GENIUS: Web server to predict local gene networks and key genes for biological functions
(2016)
GENIUS is a user-friendly web server that uses a novel machine learning algorithm to infer functional gene networks focused on specific genes and experimental conditions that are relevant to biological functions of interest. ...
Consistency of the tools that predict the impact of single nucleotide variants (SNVs) on gene functionality: The BRCA1 gene
(Molecular Diversity Preservation International, 2020-03)
Single nucleotide variants (SNVs) occurring in a protein coding gene may disrupt its function in multiple ways. Predicting this disruption has been recognized as an important problem in bioinformatics research. Many tools, ...
The relation between hairpin formation by mitochondrial WANCY tRNAs and the occurrence of the light strand replication origin in Lepidosauria
(Elsevier, 2014)
Mitochondrial light strand DNA replication is initiated at light strand replication origins (OLs), short stem-loop hairpins formed by the heavy strand DNA. OL-like secondary structures are also formed by heavy strand DNA ...
Predicting Essential Genes and Proteins Based on Machine Learning and Network Topological Features: A Comprehensive Review
(Frontiers Media Sa, 2016-03-08)
Essential proteins/genes are indispensable to the survival or reproduction of an organism, and the deletion of such essential proteins will result in lethality or infertility. The identification of essential genes is very ...
In silico network topology-based prediction of gene essentiality
(Elsevier B.V., 2008-02-01)
The identification of genes essential for survival is important for the understanding of the minimal requirements for cellular life and for drug design. As experimental studies with the purpose of building a catalog of ...
In silico network topology-based prediction of gene essentiality
(Elsevier B.V., 2008-02-01)
The identification of genes essential for survival is important for the understanding of the minimal requirements for cellular life and for drug design. As experimental studies with the purpose of building a catalog of ...
A machine learning approach for genome-wide prediction of morbid and druggable human genes based on systems-level data
(Biomed Central Ltd., 2010-12-22)
Background: The genome-wide identification of both morbid genes, i.e., those genes whose mutations cause hereditary human diseases, and druggable genes, i.e., genes coding for proteins whose modulation by small molecules ...