AIMC Topic: Models, Genetic

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Systematic characterization of mutations altering protein degradation in human cancers.

Molecular cell Feb 9, 2021
The ubiquitin-proteasome system (UPS) is the primary route for selective protein degradation in human cells. The UPS is an attractive target for novel cancer therapies, but the precise UPS genes and substrates important for cancer growth are incomple...
Cell Line, Tumor Models, Genetic Neoplasm Proteins Neoplasms Deep Learning Mutation HEK293 Cells Proteolysis Humans
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A machine learning method based on the genetic and world competitive contests algorithms for selecting genes or features in biological applications.

Scientific reports Feb 8, 2021
Gene/feature selection is an essential preprocessing step for creating models using machine learning techniques. It also plays a critical role in different biological applications such as the identification of biomarkers. Although many feature/gene s...
Machine Learning Models, Genetic Genetic Markers
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ES-ARCNN: Predicting enhancer strength by using data augmentation and residual convolutional neural network.

Analytical biochemistry Jan 31, 2021
Enhancers are non-coding DNA sequences bound by proteins called transcription factors. They function as distant regulators of gene transcription and participate in the development and maintenance of cell types and tissues. Since experimental validati...
Transcription Factors Databases, Genetic Enhancer Elements, Genetic Neural Networks, Computer Computational Biology Models, Genetic Humans
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Machine Learning Analysis of Longevity-Associated Gene Expression Landscapes in Mammals.

International journal of molecular sciences Jan 22, 2021
One of the important questions in aging research is how differences in transcriptomics are associated with the longevity of various species. Unfortunately, at the level of individual genes, the links between expression in different organs and maximum...
Longevity Bayes Theorem Mammals Gene Expression Humans Linear Models Tissue Distribution Machine Learning Transcriptome RNA-Seq Computational Biology Animals Models, Genetic Algorithms Aging Liver Brain Gene Expression Profiling Regression Analysis
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Detecting operons in bacterial genomes via visual representation learning.

Scientific reports Jan 22, 2021
Contiguous genes in prokaryotes are often arranged into operons. Detecting operons plays a critical role in inferring gene functionality and regulatory networks. Human experts annotate operons by visually inspecting gene neighborhoods across pileups ...
Models, Genetic Escherichia coli Bacillus subtilis Genomics Computational Biology Gene Expression Regulation, Bacterial Genome, Bacterial Operon Humans Algorithms Reproducibility of Results Deep Learning
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An Elite Gene Guided Reproduction Operator for Many-Objective Optimization.

IEEE transactions on cybernetics Jan 15, 2021
Traditional reproduction operators in many-objective evolutionary algorithms (MaOEAs) seem to not be so effective to tackle many-objective optimization problems (MaOPs). This is mainly because the population size cannot be set to an arbitrarily large...
Artificial Intelligence Algorithms Decision Making Models, Genetic Evolution, Molecular
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A review of deep learning applications for genomic selection.

BMC genomics Jan 6, 2021
BACKGROUND: Several conventional genomic Bayesian (or no Bayesian) prediction methods have been proposed including the standard additive genetic effect model for which the variance components are estimated with mixed model equations. In recent years,...
Phenotype Animals Deep Learning Bayes Theorem Selection, Genetic Genome Genomics Models, Genetic
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pcPromoter-CNN: A CNN-Based Prediction and Classification of Promoters.

Genes Dec 21, 2020
A promoter is a small region within the DNA structure that has an important role in initiating transcription of a specific gene in the genome. Different types of promoters are recognized by their different functions. Due to the importance of promoter...
Escherichia coli K12 Datasets as Topic DNA, Bacterial Classification Models, Genetic Promoter Regions, Genetic Genes, Bacterial Neural Networks, Computer
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Predicting potential residues associated with lung cancer using deep neural network.

Mutation research Dec 11, 2020
Lung cancer is a prominent type of cancer, which leads to high mortality rate worldwide. The major lung cancers lung adenocarcinoma (LUAD) and lung squamous carcinoma (LUSC) occur mainly due to somatic driver mutations in proteins and screening of su...
Neoplasm Proteins Adenocarcinoma of Lung Humans Deep Learning Lung Neoplasms Models, Genetic
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Predicting MicroRNA Sequence Using CNN and LSTM Stacked in Seq2Seq Architecture.

IEEE/ACM transactions on computational biology and bioinformatics Dec 8, 2020
CNN and LSTM have proven their ability in feature extraction and natural language processing, respectively. So, we tried to use their ability to process the language of RNAs, i.e., predicting sequence of microRNAs using the sequence of mRNA. The idea...
MicroRNAs Algorithms Humans Sequence Analysis, RNA Computational Biology Neural Networks, Computer Models, Genetic RNA, Messenger
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