AIMC Topic: Phenotype

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Identifying genetic determinants of complex phenotypes from whole genome sequence data.

BMC genomics Jun 10, 2019
BACKGROUND: A critical goal in biology is to relate the phenotype to the genotype, that is, to find the genetic determinants of various traits. However, while simple monofactorial determinants are relatively easy to identify, the underpinnings of com...
Humans Machine Learning Proteomics Whole Genome Sequencing Influenza, Human Pseudomonas aeruginosa Algorithms Drug Resistance, Bacterial Phenotype Influenza A virus
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Using artificial intelligence methods to speed up drug discovery.

Expert opinion on drug discovery May 29, 2019
: Drug discovery is the process through which potential new compounds are identified by means of biology, chemistry, and pharmacology. Due to the high complexity of genomic data, AI techniques are increasingly needed to help reduce this and aid the a...
Humans Drug Discovery Artificial Intelligence Drug Repositioning Phenotype Precision Medicine
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Non-Invasive Sensing of Nitrogen in Plant Using Digital Images and Machine Learning for ssp. L.

Sensors (Basel, Switzerland) May 29, 2019
Monitoring plant nitrogen (N) in a timely way and accurately is critical for precision fertilization. The imaging technology based on visible light is relatively inexpensive and ubiquitous, and open-source analysis tools have proliferated. In this st...
Models, Theoretical Nitrogen Brassica Nutrition Assessment Machine Learning Biomass Algorithms Image Processing, Computer-Assisted Phenotype
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Drug repositioning of herbal compounds via a machine-learning approach.

BMC bioinformatics May 29, 2019
BACKGROUND: Drug repositioning, also known as drug repurposing, defines new indications for existing drugs and can be used as an alternative to drug development. In recent years, the accumulation of large volumes of information related to drugs and d...
Phenotype Reproducibility of Results Logistic Models Humans Phytochemicals Drug Repositioning Machine Learning Pharmaceutical Preparations Algorithms Models, Biological Gene Ontology
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WhoGEM: an admixture-based prediction machine accurately predicts quantitative functional traits in plants.

Genome biology May 28, 2019
The explosive growth of genomic data provides an opportunity to make increased use of sequence variations for phenotype prediction. We have developed a prediction machine for quantitative phenotypes (WhoGEM) that overcomes some of the bottlenecks lim...
Machine Learning Quantitative Trait, Heritable Genomics Phenotype Medicago Mediterranean Region Phylogeography
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Robust identification of molecular phenotypes using semi-supervised learning.

BMC bioinformatics May 28, 2019
BACKGROUND: Modern molecular profiling techniques are yielding vast amounts of data from patient samples that could be utilized with machine learning methods to provide important biological insights and improvements in patient outcomes. Unsupervised ...
Phenotype Prognosis Female Breast Neoplasms RNA, Messenger Humans Gene Expression Regulation, Neoplastic Chemotherapy, Adjuvant Algorithms Lymphoma Supervised Machine Learning Disease-Free Survival Databases as Topic
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Whole-genome deep-learning analysis identifies contribution of noncoding mutations to autism risk.

Nature genetics May 27, 2019
We address the challenge of detecting the contribution of noncoding mutations to disease with a deep-learning-based framework that predicts the specific regulatory effects and the deleterious impact of genetic variants. Applying this framework to 1,7...
RNA Processing, Post-Transcriptional Transcription, Genetic RNA, Untranslated Genes, Reporter Genetic Association Studies Computational Biology Gene Expression Mutation Alleles Gene Expression Regulation Genome, Human Autism Spectrum Disorder Deep Learning Genomics Genetic Predisposition to Disease Humans Algorithms Phenotype
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Real-time analysis of the behaviour of groups of mice via a depth-sensing camera and machine learning.

Nature biomedical engineering May 20, 2019
Preclinical studies of psychiatric disorders use animal models to investigate the impact of environmental factors or genetic mutations on complex traits such as decision-making and social interactions. Here, we introduce a method for the real-time an...
Machine Learning Phenotype Female Disease Models, Animal Nerve Tissue Proteins Mice, Knockout Mutation Animals Male Mice Behavioral Research Social Behavior Microfilament Proteins Video Recording Autistic Disorder Behavior, Animal
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Identification and analysis of behavioral phenotypes in autism spectrum disorder via unsupervised machine learning.

International journal of medical informatics May 12, 2019
BACKGROUND AND OBJECTIVE: Autism spectrum disorder (ASD) is a heterogeneous disorder. Research has explored potential ASD subgroups with preliminary evidence supporting the existence of behaviorally and genetically distinct subgroups; however, resear...
Child, Preschool Unsupervised Machine Learning Prognosis Humans Child Retrospective Studies Phenotype Cluster Analysis Female Autism Spectrum Disorder Male
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New Deep Learning Genomic-Based Prediction Model for Multiple Traits with Binary, Ordinal, and Continuous Phenotypes.

G3 (Bethesda, Md.) May 7, 2019
Multiple-trait experiments with mixed phenotypes (binary, ordinal and continuous) are not rare in animal and plant breeding programs. However, there is a lack of statistical models that can exploit the correlation between traits with mixed phenotypes...
Quantitative Trait, Heritable Plant Breeding Selection, Genetic Genome Genome, Plant Phenotype Reproducibility of Results Deep Learning Genomics Genotype Genetic Association Studies Models, Genetic Algorithms
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