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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 ...
Discriminative local subspaces in gene expression data for effective gene function prediction
(OXFORD UNIV PRESS, 2012)
A standard nomenclature for gene designation in the Rosaceae
(Springer, 2015)
The plant family Rosaceae is comprised of a highly
diverse group of plants, with a wide range of ornamental and
agricultural uses throughout the world. Comparative genomic
analyses between rosaceous species are increasingly ...
The Rhinella arenarum transcriptome : de novo assembly, annotation and gene prediction
The common toad Rhinella arenarum is widely distributed in Argentina, where it is utilised as an autochthonous model in ecotoxicological research and environmental toxicology. However, the lack of a reference genome makes ...
Accurate genome-wide predictions of spatio-temporal gene expression during embryonic development
(Public Library of Science, 2019-09)
Comprehensive information on the timing and location of gene expression is fundamental to our understanding of embryonic development and tissue formation. While high-throughput in situ hybridization projects provide ...
Automatic assignment of prokaryotic genes to functional categories using literature profiling.
(Public Library of Science, 2014)
Bayesian forecasting of temporal gene expression by using an autoregressive panel data approach
(Genetics and Molecular Research, 2018)
Testing the Predictive Value of Peripheral Gene Expression for Nonremission Following Citalopram Treatment for Major Depression
(Nature Publishing Group, 2014-09)
Major depressive disorder (MDD) in general, and anxious-depression in particular, are characterized by poor rates of remission with first-line treatments, contributing to the chronic illness burden suffered by many patients. ...
Implementación de clasificadores jerárquicos multiclase para la predicción de función de genes a partir de su ubicación en el genoma
(Udelar.FI., 2022)
El reciente desarrollo tecnológico está generando datos genómicos mucho más rápido que nuestra capacidad de analizarlos. Es imprescindible, en este contexto, implementar herramientas que permitan reducir el tiempo y el ...