Genetics

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

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Showing 8779-8799 of 11,273 articles
Artificial Intelligence-Assisted Serial Analysis of Clinical Cancer Genomics Data Identifies Changing Treatment Recommendations and Therapeutic Targets.

PURPOSE: Given the pace of predictive biomarker and targeted therapy development, it is unknown whet...

Jun 2022 35312750
Genome-wide cis-decoding for expression design in tomato using cistrome data and explainable deep learning.

In the evolutionary history of plants, variation in cis-regulatory elements (CREs) resulting in dive...

May 2022 35258588
DNA-binding protein prediction based on deep transfer learning.

The study of DNA binding proteins (DBPs) is of great importance in the biomedical field and plays a ...

May 2022 35801442
Deep learning tools are top performers in long non-coding RNA prediction.

The increasing amount of transcriptomic data has brought to light vast numbers of potential novel RN...

May 2022 35136929
Deep learning based on biologically interpretable genome representation predicts two types of human adaptation of SARS-CoV-2 variants.

Explosively emerging SARS-CoV-2 variants challenge current nomenclature schemes based on genetic div...

May 2022 35233612
SPLDExtraTrees: robust machine learning approach for predicting kinase inhibitor resistance.

Drug resistance is a major threat to the global health and a significant concern throughout the clin...

May 2022 35262669
RNAI-FRID: novel feature representation method with information enhancement and dimension reduction for RNA-RNA interaction.

Different ribonucleic acids (RNAs) can interact to form regulatory networks that play important role...

May 2022 35352114
S2Snet: deep learning for low molecular weight RNA identification with nanopore.

Ribonucleic acid (RNA) is a pivotal nucleic acid that plays a crucial role in regulating many biolog...

May 2022 35368061
A tool for feature extraction from biological sequences.

With the advances in sequencing technologies, a huge amount of biological data is extracted nowadays...

May 2022 35383372
CRISPR-Cas9 gRNA efficiency prediction: an overview of predictive tools and the role of deep learning.

The clustered regularly interspaced short palindromic repeat (CRISPR)/CRISPR-associated protein 9 (C...

Apr 2022 35349718
Direct Discriminative Decoder Models for Analysis of High-Dimensional Dynamical Neural Data.

With the accelerated development of neural recording technology over the past few decades, research ...

Apr 2022 35344988
PST-PRNA: prediction of RNA-binding sites using protein surface topography and deep learning.

MOTIVATION: Protein-RNA interactions play essential roles in many biological processes, including pr...

Apr 2022 35150250
DNAcycP: a deep learning tool for DNA cyclizability prediction.

DNA mechanical properties play a critical role in every aspect of DNA-dependent biological processes...

Apr 2022 35288750
Improving the noninvasive classification of glioma genetic subtype with deep learning and diffusion-weighted imaging.

BACKGROUND: Diagnostic classification of diffuse gliomas now requires an assessment of molecular fea...

Apr 2022 34653254
Extreme learning machine and genetic algorithm in quantitative analysis of sulfur hexafluoride by infrared spectroscopy.

Owing to the general disadvantages of traditional neural networks in gas concentration inversion, su...

Apr 2022 35471359
Tox-GAN: An Artificial Intelligence Approach Alternative to Animal Studies-A Case Study With Toxicogenomics.

Animal studies are a critical component in biomedical research, pharmaceutical product development, ...

Mar 2022 34971401
Evaluating the predictive accuracy of curated biological pathways in a public knowledgebase.

ABSTRACT: Reactome is a database of human biological pathways manually curated from the primary lite...

Mar 2022 35348650
Machine learning on thyroid disease: a review.

This study reviews the recent progress of machine learning for the early diagnosis of thyroid diseas...

Mar 2022 35345333
A robust and scalable graph neural network for accurate single-cell classification.

Single-cell RNA sequencing (scRNA-seq) techniques provide high-resolution data on cellular heterogen...

Mar 2022 35018408
A hybrid deep learning framework for gene regulatory network inference from single-cell transcriptomic data.

Inferring gene regulatory networks (GRNs) based on gene expression profiles is able to provide an in...

Mar 2022 35062026
Deep structural clustering for single-cell RNA-seq data jointly through autoencoder and graph neural network.

Single-cell RNA sequencing (scRNA-seq) permits researchers to study the complex mechanisms of cell h...

Mar 2022 35172334
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