AIMC Topic: Chromosome Mapping

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Statistical and Machine Learning Methods for eQTL Analysis.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2020
An immense amount of observable diversity exists for all traits and across global populations. In the post-genomic era, equipped with efficient sequencing capabilities and better genotyping methods, we are now able to more fully appreciate how regula...
Humans Machine Learning Genome-Wide Association Study Computational Biology Data Interpretation, Statistical Gene Expression Quantitative Trait Loci Chromosome Mapping
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Design of Knowledge Bases for Plant Gene Regulatory Networks.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2017
Developing a knowledge base that contains all the information necessary for the researcher studying gene regulation in a particular organism can be accomplished in four stages. This begins with defining the data scope. We describe here the necessary ...
Software User-Computer Interface Gene Regulatory Networks Protein Binding Computational Biology Transcription Factors Databases, Genetic Plants Knowledge Bases Binding Sites Gene Expression Regulation, Plant Search Engine Database Management Systems Chromosome Mapping Web Browser Transcription Initiation Site
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Genetics. Predicting the impact of genomic variation.

Nature methods Mar 1, 2016
Humans Computer Simulation Models, Genetic Sequence Analysis, DNA Models, Statistical Unsupervised Machine Learning Genetic Variation Base Sequence Genome, Human Molecular Sequence Data Chromosome Mapping
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Genome-wide discovery of miRNAs using ensembles of machine learning algorithms and logistic regression.

International journal of data mining and bioinformatics Jan 1, 2015
In silico prediction of novel miRNAs from genomic sequences remains a challenging problem. This study presents a genome-wide miRNA discovery software package called GenoScan and evaluates two hairpin classification methods. These methods, one ensembl...
Humans Machine Learning Algorithms Logistic Models Sequence Analysis, RNA MicroRNAs Regression Analysis Pattern Recognition, Automated Base Sequence Genome, Human Inverted Repeat Sequences Molecular Sequence Data Chromosome Mapping
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