Genetics

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

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A Machine Learning Approach for Predicting HIV Reverse Transcriptase Mutation Susceptibility of Biologically Active Compounds.

HIV resistance emerging against antiretroviral drugs represents a great threat to the continued prol...

Molecular Genotyping of Species Isolated from Patients in Tehran, Iran, by Repetitive Element PCR Fingerprinting.

BACKGROUND & OBJECTIVE: is an opportunistic pathogen with high pathogenic and antibiotic-resistance...

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

Key challenges for human genetics, precision medicine and evolutionary biology include deciphering t...

A machine-learned analysis of human gene polymorphisms modulating persisting pain points to major roles of neuroimmune processes.

BACKGROUND: Human genetic research has implicated functional variants of more than one hundred genes...

Identification of 170 New Long Noncoding RNAs in .

Long noncoding RNAs (lncRNAs) are transcripts generally longer than 200 nucleotides with no or poor ...

Enabling Precision Medicine through Integrative Network Models.

A key challenge in precision medicine lies in understanding molecular-level underpinnings of complex...

Deep learning models for bacteria taxonomic classification of metagenomic data.

BACKGROUND: An open challenge in translational bioinformatics is the analysis of sequenced metagenom...

Scaling up molecular pattern recognition with DNA-based winner-take-all neural networks.

From bacteria following simple chemical gradients to the brain distinguishing complex odour informat...

PLANET-SNP pipeline: PLants based ANnotation and Establishment of True SNP pipeline.

Acute prediction of SNPs (Single Nucleotide Polymorphisms) from high throughput sequencing data is a...

Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks.

BACKGROUND: RNA regulation is significantly dependent on its binding protein partner, known as the R...

HECIL: A Hybrid Error Correction Algorithm for Long Reads with Iterative Learning.

Second-generation DNA sequencing techniques generate short reads that can result in fragmented genom...

Machine Learning Helps Identify New Drug Mechanisms in Triple-Negative Breast Cancer.

This paper demonstrates the ability of mach- ine learning approaches to identify a few genes among t...

A Novel Morphological Marker for the Analysis of Molecular Activities at the Single-cell Level.

For more than a century, hematoxylin and eosin (H&E) staining has been the de facto standard for his...

Machine learning models to predict the progression from early to late stages of papillary renal cell carcinoma.

Papillary Renal Cell Carcinoma (PRCC) is a heterogeneous disease with variations in disease progress...

Recognition Tunneling of Canonical and Modified RNA Nucleotides for Their Identification with the Aid of Machine Learning.

In the present study, we demonstrate a tunneling nanogap technique to identify individual RNA nucleo...

Biological classification with RNA-seq data: Can alternatively spliced transcript expression enhance machine learning classifiers?

RNA sequencing (RNA-seq) is becoming a prevalent approach to quantify gene expression and is expecte...

An in-silico method for identifying aggregation rate enhancer and mitigator mutations in proteins.

Newly synthesized polypeptides must pass stringent quality controls in cells to ensure appropriate f...

A Data Driven Model for Predicting RNA-Protein Interactions based on Gradient Boosting Machine.

RNA protein interactions (RPI) play a pivotal role in the regulation of various biological processes...

Multi-Factored Gene-Gene Proximity Measures Exploiting Biological Knowledge Extracted from Gene Ontology: Application in Gene Clustering.

To describe the cellular functions of proteins and genes, a potential dynamic vocabulary is Gene Ont...

Computational design of thermostabilizing point mutations for G protein-coupled receptors.

Engineering of GPCR constructs with improved thermostability is a key for successful structural and ...

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