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Computational Prediction of MicroRNA Genes
2013The computational identification of novel microRNA (miRNA) genes is a challenging task in bioinformatics. Massive amounts of data describing unknown functional RNA transcripts have to be analyzed for putative miRNA candidates with automated computational pipelines.
Hertel, Jana +2 more
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Intrinsically Multivariate Predictive Genes
IEEE Journal of Selected Topics in Signal Processing, 2008Canalizing 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, the controlling gene will not be predictable to any significant degree by its subject genes, either alone or in groups, since their ...
David C. Martins +4 more
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Predicting Gene Expression Noise from Gene Expression Variations
2018The level of gene expression is known to vary from cell to cell and even in the same cell over time. This variability provides cells with the ability to mitigate environmental stresses and genetic perturbations, and facilitates gene expression evolution.
Xiaojian, Shao, Ming-An, Sun
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Prediction of Plant miRNA Genes
2009This chapter presents procedures for the computational identification of plant miRNA genes. In the first procedure, homologs of known miRNAs are identified in a database of genomic or cDNA sequence. In the second procedure, previously unidentified miRNA families are predicted through the analysis of secondary structure, evolutionary conservation, and ...
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Cancer epigenetics in clinical practice
Ca-A Cancer Journal for Clinicians, 2023Veronica Davalos, Manel Esteller
exaly
Coexpression Networks Predict Ataxia Genes
JAMA Neurology, 2014Stefan M, Pulst, Lance T, Pflieger
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