AIMC Topic: Models, Genetic

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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...
Humans Databases, Factual RNA, Long Noncoding Data Mining Gene Expression Regulation Gene Ontology Neoplasms Computational Biology Models, Genetic
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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...
Algorithms Polymorphism, Single Nucleotide Multifactor Dimensionality Reduction Computational Biology Models, Genetic Epistasis, Genetic
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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 ...
Computer Simulation Humans Deep Learning Quantitative Trait Loci Algorithms Gene Expression Genome-Wide Association Study Mutation Genetic Predisposition to Disease Promoter Regions, Genetic Polymorphism, Single Nucleotide Models, Genetic
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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...
Deep Learning Time Factors Bacteria Neural Networks, Computer Algorithms Reproducibility of Results Metagenomics Metagenome Models, Genetic RNA, Ribosomal, 16S Databases, Genetic
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Machine learning identifies a core gene set predictive of acquired resistance to EGFR tyrosine kinase inhibitor.

Journal of cancer research and clinical oncology May 25, 2018
PURPOSE: Acquired resistance (AR) to epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) is a major issue worldwide, for both patients and healthcare providers. However, precise prediction is currently infeasible due to the lack o...
Transcriptome Algorithms Cell Line, Tumor Reproducibility of Results Models, Genetic Neoplasms Drug Resistance, Neoplasm ErbB Receptors Protein Kinase Inhibitors Humans Machine Learning
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Control of Gene Regulatory Networks Using Bayesian Inverse Reinforcement Learning.

IEEE/ACM transactions on computational biology and bioinformatics Apr 26, 2018
Control of gene regulatory networks (GRNs) to shift gene expression from undesirable states to desirable ones has received much attention in recent years. Most of the existing methods assume that the cost of intervention at each state and time point,...
Proto-Oncogene Proteins c-mdm2 Skin Neoplasms Wnt-5a Protein Gene Expression Profiling Humans Bayes Theorem Gene Regulatory Networks Machine Learning Models, Biological Software Computational Biology Tumor Suppressor Protein p53 Algorithms Gene Expression Regulation, Neoplastic Melanoma Models, Genetic
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Supervised machine learning reveals introgressed loci in the genomes of Drosophila simulans and D. sechellia.

PLoS genetics Apr 23, 2018
Hybridization and gene flow between species appears to be common. Even though it is clear that hybridization is widespread across all surveyed taxonomic groups, the magnitude and consequences of introgression are still largely unknown. Thus it is cru...
Evolution, Molecular Supervised Machine Learning Genetic Variation Haplotypes Species Specificity Drosophila Computer Simulation Animals Models, Genetic Software Genetic Speciation Drosophila simulans Gene Flow Hybridization, Genetic Genetics, Population Genome, Insect
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A hierarchical clustering method for dimension reduction in joint analysis of multiple phenotypes.

Genetic epidemiology Apr 22, 2018
Genome-wide association studies (GWAS) have become a very effective research tool to identify genetic variants of underlying various complex diseases. In spite of the success of GWAS in identifying thousands of reproducible associations between genet...
Multifactor Dimensionality Reduction Humans Phenotype Computer Simulation Models, Genetic Pulmonary Disease, Chronic Obstructive Cluster Analysis Genome-Wide Association Study
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Statistics versus machine learning.

Nature methods Apr 3, 2018
Machine Learning Gene Expression Regulation Models, Genetic Data Interpretation, Statistical
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PCLPred: A Bioinformatics Method for Predicting Protein-Protein Interactions by Combining Relevance Vector Machine Model with Low-Rank Matrix Approximation.

International journal of molecular sciences Mar 29, 2018
Protein-protein interactions (PPI) are key to protein functions and regulations within the cell cycle, DNA replication, and cellular signaling. Therefore, detecting whether a pair of proteins interact is of great importance for the study of molecular...
Databases, Protein Software Saccharomyces cerevisiae Models, Genetic Saccharomyces cerevisiae Proteins Support Vector Machine
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