Genetics

Automated Detection of Parkinson's Disease Based on Multiple Types of Sustained Phonations Using Linear Discriminant Analysis and Genetically Optimized Neural Network.

OBJECTIVE: Parkinson's disease (PD) is a serious neurodegenerative disorder. It is reported that mos...

A machine learning-based service for estimating quality of genomes using PATRIC.

BACKGROUND: Recent advances in high-volume sequencing technology and mining of genomes from metageno...

Pathway-Based Single-Cell RNA-Seq Classification, Clustering, and Construction of Gene-Gene Interactions Networks Using Random Forests.

Single-cell RNA-Sequencing (scRNA-Seq), an advanced sequencing technique, enables biomedical researc...

One-shot optimization of multiple enzyme parameters: Tailoring glucose oxidase for pH and electron mediators.

Enzymes are biological catalysts with many industrial applications, but natural enzymes are usually ...

A novel machine-learning-derived genetic score correlates with measurable residual disease and is highly predictive of outcome in acute myeloid leukemia with mutated NPM1.

LOTUS: A single- and multitask machine learning algorithm for the prediction of cancer driver genes.

Cancer driver genes, i.e., oncogenes and tumor suppressor genes, are involved in the acquisition of ...

An overview and metanalysis of machine and deep learning-based CRISPR gRNA design tools.

The CRISPR-Cas9 system has become the most promising and versatile tool for genetic manipulation app...

Investigation of machine learning techniques on proteomics: A comprehensive survey.

Proteomics is the extensive investigation of proteins which has empowered the recognizable proof of ...

Capsule Network for Predicting RNA-Protein Binding Preferences Using Hybrid Feature.

RNA-Protein binding is involved in many different biological processes. With the progress of technol...

Optimized CRISPR guide RNA design for two high-fidelity Cas9 variants by deep learning.

Highly specific Cas9 nucleases derived from SpCas9 are valuable tools for genome editing, but their ...

Predicting CRISPR/Cas9-Induced Mutations for Precise Genome Editing.

SpCas9 creates blunt end cuts in the genome and generates random and unpredictable mutations through...

A classification model for lncRNA and mRNA based on k-mers and a convolutional neural network.

BACKGROUND: Long-chain non-coding RNA (lncRNA) is closely related to many biological activities. Sin...

Unsupervised machine learning reveals mimicry complexes in bumblebees occur along a perceptual continuum.

Müllerian mimicry theory states that frequency-dependent selection should favour geographical conver...

econvRBP: Improved ensemble convolutional neural networks for RNA binding protein prediction directly from sequence.

RNA binding proteins (RBPs) determine RNA process from synthesis to decay, which play a key role in ...

Identification of potential histone deacetylase1 (HDAC1) inhibitors using multistep virtual screening approach including SVM model, pharmacophore modeling, molecular docking and biological evaluation.

Histone Deacetylases (HDACs) play a significant role in the regulation of gene expression by modifyi...

Machine learning predicts putative hematopoietic stem cells within large single-cell transcriptomics data sets.

Hematopoietic stem cells (HSCs) are an essential source and reservoir for normal hematopoiesis, and ...

Integration of Cancer Genomics Data for Tree-based Dimensionality Reduction and Cancer Outcome Prediction.

Accurate outcome prediction is crucial for precision medicine and personalized treatment of cancer. ...

Growth Inhibitory and Pro-Apoptotic Effects of Ornamental Pomegranate Extracts in Du145 Human Prostate Cancer Cells.

Prostate cancer is the most common form of cancer in the male. Epidemiological studies have associa...

Deep learning extends de novo protein modelling coverage of genomes using iteratively predicted structural constraints.

The inapplicability of amino acid covariation methods to small protein families has limited their us...

Profiling of Exosomal Biomarkers for Accurate Cancer Identification: Combining DNA-PAINT with Machine- Learning-Based Classification.

Exosomes are endosome-derived vesicles enriched in body fluids such as urine, blood, and saliva. So ...

Evaluation of parameters affecting performance and reliability of machine learning-based antibiotic susceptibility testing from whole genome sequencing data.

Prediction of antibiotic resistance phenotypes from whole genome sequencing data by machine learning...