AIMC Topic: Models, Genetic

Clear Filters Showing 161 to 170 of 345 articles

LogLoss-BERAF: An ensemble-based machine learning model for constructing highly accurate diagnostic sets of methylation sites accounting for heterogeneity in prostate cancer.

PloS one Nov 2, 2018
Although modern methods of whole genome DNA methylation analysis have a wide range of applications, they are not suitable for clinical diagnostics due to their high cost and complexity and due to the large amount of sample DNA required for the analys...
Gene Expression Regulation, Neoplastic Models, Genetic DNA Methylation Humans Prostatic Neoplasms Algorithms Machine Learning CpG Islands Male Neoplasms
View on PubMed DOI

Detecting gene-gene interactions for complex quantitative traits using generalized fuzzy classification.

BMC bioinformatics Sep 18, 2018
BACKGROUND: Quantitative traits or continuous outcomes related to complex diseases can provide more information and therefore more accurate analysis for identifying gene-gene and gene- environment interactions associated with complex diseases. Multif...
Female Animals Mice Fuzzy Logic Polymorphism, Single Nucleotide Humans Genetic Markers Computational Biology Phenotype Epistasis, Genetic Models, Genetic
View on PubMed DOI

CEA: Combination-based gene set functional enrichment analysis.

Scientific reports Aug 30, 2018
Functional enrichment analysis is a fundamental and challenging task in bioinformatics. Most of the current enrichment analysis approaches individually evaluate functional terms and often output a list of enriched terms with high similarity and redun...
Oligonucleotide Array Sequence Analysis Software Humans Algorithms Models, Genetic Computational Biology Databases, Genetic Gene Ontology
View on PubMed DOI

Combinatorial Scoring of Phylogenetic Trees and Networks Based on Homoplasy-Free Characters.

Journal of computational biology : a journal of computational molecular cell biology Aug 22, 2018
Construction of phylogenetic trees and networks for extant species from their characters represents one of the key problems in phylogenomics. While solution to this problem is not always uniquely defined and there exist multiple methods for tree/netw...
Child Computational Biology Models, Genetic Color Mathematical Concepts Neural Networks, Computer Algorithms Phylogeny Humans
View on PubMed DOI

A deep convolutional neural network approach for predicting phenotypes from genotypes.

Planta Aug 12, 2018
Deep learning is a promising technology to accurately select individuals with high phenotypic values based on genotypic data. Genomic selection (GS) is a promising breeding strategy by which the phenotypes of plant individuals are usually predicted b...
Neural Networks, Computer Machine Learning Genome-Wide Association Study Genetic Association Studies Selection, Genetic Models, Genetic Plants
View on PubMed DOI

Establishment of a SVM classifier to predict recurrence of ovarian cancer.

Molecular medicine reports Aug 8, 2018
Gene expression data using retrieved ovarian cancer (OC) samples were used to identify genes of interest and a support vector machine (SVM) classifier was subsequently established to predict the recurrence of OC. Three datasets (GSE17260, GSE44104 an...
Gene Regulatory Networks Gene Expression Regulation, Neoplastic Models, Genetic Female Gene Expression Profiling Protein Interaction Maps Support Vector Machine Ovarian Neoplasms Neoplasm Recurrence, Local Humans
View on PubMed DOI

Data mining of the cancer-related lncRNAs GO terms and KEGG pathways by using mRMR method.

Mathematical biosciences Aug 4, 2018
LncRNAs plays an important role in the regulation of gene expression. Identification of cancer-related lncRNAs GO terms and KEGG pathways is great helpful for revealing cancer-related functional biological processes. Therefore, in this study, we prop...
Gene Ontology Neoplasms Computational Biology Models, Genetic Humans RNA, Long Noncoding Databases, Factual Data Mining Gene Expression Regulation
View on PubMed DOI

Class Balanced Multifactor Dimensionality Reduction to Detect Gene-Gene Interactions.

IEEE/ACM transactions on computational biology and bioinformatics Jul 23, 2018
Detecting gene-gene interactions in single-nucleotide polymorphism data is vital for understanding disease susceptibility. However, existing approaches may be limited by the sample size in case-control studies. Herein, we propose a balance approach f...
Epistasis, Genetic Multifactor Dimensionality Reduction Computational Biology Models, Genetic Algorithms Polymorphism, Single Nucleotide
View on PubMed DOI

Deep learning sequence-based ab initio prediction of variant effects on expression and disease risk.

Nature genetics Jul 16, 2018
Key challenges for human genetics, precision medicine and evolutionary biology include deciphering the regulatory code of gene expression and understanding the transcriptional effects of genome variation. However, this is extremely difficult because ...
Algorithms Computer Simulation Deep Learning Genome-Wide Association Study Genetic Predisposition to Disease Polymorphism, Single Nucleotide Humans Models, Genetic Promoter Regions, Genetic Gene Expression Quantitative Trait Loci Mutation
View on PubMed DOI

Deep learning models for bacteria taxonomic classification of metagenomic data.

BMC bioinformatics Jul 9, 2018
BACKGROUND: An open challenge in translational bioinformatics is the analysis of sequenced metagenomes from various environmental samples. Of course, several studies demonstrated the 16S ribosomal RNA could be considered as a barcode for bacteria cla...
Time Factors Bacteria Neural Networks, Computer Models, Genetic Metagenome RNA, Ribosomal, 16S Algorithms Databases, Genetic Reproducibility of Results Metagenomics Deep Learning
View on PubMed DOI
Popular Topics
Recent Journals