Genetics

Latest AI and machine learning research in genetics for healthcare professionals.

10,613 articles
Stay Ahead - Weekly Genetics research updates
Subscribe
Browse Categories
Subcategories: Genetics
Showing 4432-4452 of 10,613 articles
Machine learning and bioinformatics models to identify gene expression patterns of ovarian cancer associated with disease progression and mortality.

Ovarian cancer (OC) is a common cause of cancer death among women worldwide, so there is a pressing ...

for Ratiometric and High-Throughput Live-Cell Image Visualization and Quantitation.

Spatiotemporal regulation of molecular activities dictates cellular function and fate. Investigation...

Human mitochondrial genome compression using machine learning techniques.

BACKGROUND: In recent years, with the development of high-throughput genome sequencing technologies,...

Clinical Significance of Circulating Cardiomyocyte-Specific Cell-Free DNA in Patients With Heart Failure: A Proof-of-Concept Study.

We investigated clinical significance of cell-free DNA (cfDNA) in heart failure. This study enrolled...

A deep learning ensemble for function prediction of hypothetical proteins from pathogenic bacterial species.

Protein function prediction is a crucial task in the post-genomics era due to their diverse irreplac...

Joint Ranking SVM and Binary Relevance with robust Low-rank learning for multi-label classification.

Multi-label classification studies the task where each example belongs to multiple labels simultaneo...

DeepImpute: an accurate, fast, and scalable deep neural network method to impute single-cell RNA-seq data.

Single-cell RNA sequencing (scRNA-seq) offers new opportunities to study gene expression of tens of ...

Foam Sclerotherapy for Cyst Volume Reduction in Autosomal Dominant Polycystic Kidney Disease: A Prospective Cohort Study.

RATIONALE & OBJECTIVE: Autosomal dominant polycystic kidney disease (ADPKD) is the most common inher...

cytogenotoxic evaluation of sertraline.

Sertraline (SRT) is an antidepressant agent used as a neuronal selective serotonin-reuptake inhibito...

D-GPM: A Deep Learning Method for Gene Promoter Methylation Inference.

Whole-genome bisulfite sequencing generates a comprehensive profiling of the gene methylation levels...

Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal.

Differential gene expression analysis is an important technique for understanding disease states. Th...

Accurate Prediction for Antibody Resistance of Clinical HIV-1 Isolates.

Broadly neutralizing antibodies (bNAbs) targeting the HIV-1 envelope glycoprotein (Env) have promisi...

LightGBM: An Effective and Scalable Algorithm for Prediction of Chemical Toxicity-Application to the Tox21 and Mutagenicity Data Sets.

Machine learning algorithms have attained widespread use in assessing the potential toxicities of ph...

Compendiums of cancer transcriptomes for machine learning applications.

There are massive transcriptome profiles in the form of microarray. The challenge is that they are p...

Uncovering Thousands of New Peptides with Sequence-Mask-Search Hybrid Peptide Sequencing Framework.

Typical analyses of mass spectrometry data only identify amino acid sequences that exist in referenc...

Detection of malaria parasites in dried human blood spots using mid-infrared spectroscopy and logistic regression analysis.

BACKGROUND: Epidemiological surveys of malaria currently rely on microscopy, polymerase chain reacti...

QTG-Finder: A Machine-Learning Based Algorithm To Prioritize Causal Genes of Quantitative Trait Loci in Arabidopsis and Rice.

Linkage mapping is one of the most commonly used methods to identify genetic loci that determine a t...

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...

Browse Categories