Genetics

A fusion framework of deep learning and machine learning for predicting sgRNA cleavage efficiency.

CRISPR/Cas9 system is a powerful tool for genome editing. Numerous studies have shown that sgRNAs ca...

RNA contact prediction by data efficient deep learning.

On the path to full understanding of the structure-function relationship or even design of RNA, stru...

Structure-based prediction of nucleic acid binding residues by merging deep learning- and template-based approaches.

Accurate prediction of nucleic binding residues is essential for the understanding of transcription ...

IChrom-Deep: An Attention-Based Deep Learning Model for Identifying Chromatin Interactions.

Identification of chromatin interactions is crucial for advancing our knowledge of gene regulation. ...

The Coming of Age of AI/ML in Drug Discovery, Development, Clinical Testing, and Manufacturing: The FDA Perspectives.

Artificial intelligence (AI) and machine learning (ML) represent significant advancements in computi...

Coot-Lion optimized deep learning algorithm for COVID-19 point mutation rate prediction using genome sequences.

In this study, a deep quantum neural network (DQNN) based on the Lion-based Coot algorithm (LBCA-bas...

Harnessing deep learning for population genetic inference.

In population genetics, the emergence of large-scale genomic data for various species and population...

scTIGER: A Deep-Learning Method for Inferring Gene Regulatory Networks from Case versus Control scRNA-seq Datasets.

Inferring gene regulatory networks (GRNs) from single-cell RNA-seq (scRNA-seq) data is an important ...

Prediction of DNA Methylation based on Multi-dimensional feature encoding and double convolutional fully connected convolutional neural network.

DNA methylation takes on critical significance to the regulation of gene expression by affecting the...

ProS-GNN: Predicting effects of mutations on protein stability using graph neural networks.

Predicting protein stability change upon variation through a computational approach is a valuable to...

Artificial intelligence for dementia genetics and omics.

Genetics and omics studies of Alzheimer's disease and other dementia subtypes enhance our understand...

Automated prognosis of renal function decline in ADPKD patients using deep learning.

An accurate prognosis of renal function decline in Autosomal Dominant Polycystic Kidney Disease (ADP...

Modeling islet enhancers using deep learning identifies candidate causal variants at loci associated with T2D and glycemic traits.

Genetic association studies have identified hundreds of independent signals associated with type 2 d...

Predicting transcriptional outcomes of novel multigene perturbations with GEARS.

Understanding cellular responses to genetic perturbation is central to numerous biomedical applicati...

Cytogenetics and genomics in pediatric acute lymphoblastic leukaemia.

The last five decades have witnessed significant improvement in diagnostics, treatment and managemen...

A deep learning method for replicate-based analysis of chromosome conformation contacts using Siamese neural networks.

The organisation of the genome in nuclear space is an important frontier of biology. Chromosome conf...

Response to correspondence regarding "Analysis of large-language model versus human performance for genetics questions".

Artificial intelligence in cancer diagnosis and therapy: Current status and future perspective.

Artificial intelligence (AI) in healthcare plays a pivotal role in combating many fatal diseases, su...

Combining Deep Learning Neural Networks with Genetic Algorithms to Map Nanocluster Configuration Spaces with Quantum Accuracy at Low Computational Cost.

The configuration spaces for bimetallic AuPd nanoclusters of various sizes are explored efficiently ...

Predicting congenital renal tract malformation genes using machine learning.

Congenital renal tract malformations (RTMs) are the major cause of severe kidney failure in children...

Deep Learning for Detecting BRCA Mutations in High-Grade Ovarian Cancer Based on an Innovative Tumor Segmentation Method From Whole Slide Images.

BRCA1 and BRCA2 genes play a crucial role in repairing DNA double-strand breaks through homologous r...