AIMC Topic: Polymorphism, Single Nucleotide

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Evaluation of supervised machine-learning methods for predicting appearance traits from DNA.

Forensic science international. Genetics Mar 23, 2021
The prediction of human externally visible characteristics (EVCs) based solely on DNA information has become an established approach in forensic and anthropological genetics in recent years. While for a large set of EVCs, predictive models have alrea...
Machine Learning Algorithms Phenotype Polymorphism, Single Nucleotide Humans Datasets as Topic Skin Pigmentation Forensic Genetics Hair Color Eye Color Logistic Models DNA Genetic Markers
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Experimental support for genomic prediction of climate maladaptation using the machine learning approach Gradient Forests.

Molecular ecology resources Mar 22, 2021
Gradient Forests (GF) is a machine learning algorithm that is gaining in popularity for studying the environmental drivers of genomic variation and for incorporating genomic information into climate change impact assessments. Here we (i) provide the ...
Polymorphism, Single Nucleotide Climate Change Genome Adaptation, Physiological Humans Machine Learning Genomics
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Sparse deep neural networks on imaging genetics for schizophrenia case-control classification.

Human brain mapping Mar 16, 2021
Deep learning methods hold strong promise for identifying biomarkers for clinical application. However, current approaches for psychiatric classification or prediction do not allow direct interpretation of original features. In the present study, we ...
Neuroimaging Gray Matter Cerebral Cortex Support Vector Machine Magnetic Resonance Imaging Humans Schizophrenia Deep Learning Adult Polymorphism, Single Nucleotide Case-Control Studies
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Apache Spark based kernelized fuzzy clustering framework for single nucleotide polymorphism sequence analysis.

Computational biology and chemistry Feb 10, 2021
This paper introduces a kernel based fuzzy clustering approach to deal with the non-linear separable problems by applying kernel Radial Basis Functions (RBF) which maps the input data space non-linearly into a high-dimensional feature space. Discover...
Databases, Genetic Fuzzy Logic Humans Cluster Analysis Algorithms Polymorphism, Single Nucleotide Computational Biology
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A Correlation Analysis between SNPs and ROIs of Alzheimer's Disease Based on Deep Learning.

BioMed research international Feb 9, 2021
. At present, the research methods for image genetics of Alzheimer's disease based on machine learning are mainly divided into three steps: the first step is to preprocess the original image and gene information into digital signals that are easy to ...
Humans Algorithms Brain Polymorphism, Single Nucleotide Computational Biology Diagnosis, Computer-Assisted Deep Learning Magnetic Resonance Imaging Alzheimer Disease
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Creating artificial human genomes using generative neural networks.

PLoS genetics Feb 4, 2021
Generative models have shown breakthroughs in a wide spectrum of domains due to recent advancements in machine learning algorithms and increased computational power. Despite these impressive achievements, the ability of generative models to create re...
Markov Chains Genome, Human Population Polymorphism, Single Nucleotide Databases, Genetic Alleles Chromosomes, Human, Pair 15 HapMap Project Humans Neural Networks, Computer Machine Learning Computer Simulation Deep Learning Algorithms Databases, Factual
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Systematic analysis of binding of transcription factors to noncoding variants.

Nature Jan 27, 2021
Many sequence variants have been linked to complex human traits and diseases, but deciphering their biological functions remains challenging, as most of them reside in noncoding DNA. Here we have systematically assessed the binding of 270 human trans...
Support Vector Machine Ligands Genome, Human SELEX Aptamer Technique Protein Binding Humans Disease Polymorphism, Single Nucleotide Binding Sites Transcription Factors
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Semi-supervised learning for somatic variant calling and peptide identification in personalized cancer immunotherapy.

BMC bioinformatics Dec 30, 2020
BACKGROUND: Personalized cancer vaccines are emerging as one of the most promising approaches to immunotherapy of advanced cancers. However, only a small proportion of the neoepitopes generated by somatic DNA mutations in cancer cells lead to tumor r...
Immunotherapy Epitopes Humans Supervised Machine Learning Neoplasms Precision Medicine Tandem Mass Spectrometry Peptides Exome Sequencing Polymorphism, Single Nucleotide
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Identification of biological correlates associated with respiratory failure in COVID-19.

BMC medical genomics Dec 11, 2020
BACKGROUND: Coronavirus disease 2019 (COVID-19) is a global public health concern. Recently, a genome-wide association study (GWAS) was performed with participants recruited from Italy and Spain by an international consortium group.
Respiratory Insufficiency Spain Gene Ontology Genome-Wide Association Study Polymorphism, Single Nucleotide COVID-19 Italy Female SARS-CoV-2 Male Humans
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Genome-enabled prediction of reproductive traits in Nellore cattle using parametric models and machine learning methods.

Animal genetics Nov 16, 2020
This study aimed to assess the predictive ability of different machine learning (ML) methods for genomic prediction of reproductive traits in Nellore cattle. The studied traits were age at first calving (AFC), scrotal circumference (SC), early pregna...
Cattle Genomics Female Machine Learning Phenotype Models, Genetic Polymorphism, Single Nucleotide Animals Pregnancy Reproduction Brazil
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