AIMC Topic: Whole Genome Sequencing

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Outgroup Machine Learning Approach Identifies Single Nucleotide Variants in Noncoding DNA Associated with Autism Spectrum Disorder.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2019
Autism spectrum disorder (ASD) is a heritable neurodevelopmental disorder affecting 1 in 59 children. While noncoding genetic variation has been shown to play a major role in many complex disorders, the contribution of these regions to ASD susceptibi...
Humans Machine Learning Phenotype Autism Spectrum Disorder Female Male Case-Control Studies Cohort Studies Child Gene Regulatory Networks Genetic Predisposition to Disease Polymorphism, Single Nucleotide Genetic Association Studies Computational Biology Logistic Models MicroRNAs DNA Whole Genome Sequencing Genetic Variation CpG Islands RNA, Untranslated Microsatellite Repeats Supranuclear Palsy, Progressive
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A pan-genome-based machine learning approach for predicting antimicrobial resistance activities of the Escherichia coli strains.

Bioinformatics (Oxford, England) Jul 1, 2018
MOTIVATION: Antimicrobial resistance (AMR) is becoming a huge problem in both developed and developing countries, and identifying strains resistant or susceptible to certain antibiotics is essential in fighting against antibiotic-resistant pathogens....
Machine Learning Anti-Bacterial Agents Drug Resistance, Bacterial Escherichia coli Whole Genome Sequencing Genome, Bacterial
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