DeepIRES: a hybrid deep learning model for accurate identification of internal ribosome entry sites in cellular and viral mRNAs

2024-7-25

A genome-scale deep learning model to predict gene expression changes of genetic perturbations from multiplex biological networks

2024-7-25

Detecting novel cell type in single-cell chromatin accessibility data via open-set domain adaptation

2024-7-25

DeepBAM: a high-accuracy single-molecule CpG methylation detection tool for Oxford nanopore sequencing.

2024-7-25

ReadCurrent: a VDCNN-based tool for fast and accurate nanopore selective sequencing

2024-7-25

Correction to: Revolutionizing GPCR–ligand predictions: DeepGPCR with experimental validation for high-precision drug discovery

2024-7-25

HHOMR: a hybrid high-order moment residual model for miRNA-disease association prediction

2024-7-25

scLEGA: an attention-based deep clustering method with a tendency for low expression of genes on single-cell RNA-seq data

2024-7-25

A single-cell multimodal view on gene regulatory network inference from transcriptomics and chromatin accessibility data

2024-7-25

Multiview representation learning for identification of novel cancer genes and their causative biological mechanisms

2024-7-25

Detecting microsatellite instability by length comparison of microsatellites in the 3′ untranslated region with RNA-seq

2024-7-25

Large language model produces high accurate diagnosis of cancer from end-motif profiles of cell-free DNA

2024-7-25

Integrated multi-omics with machine learning to uncover the intricacies of kidney disease

2024-7-25

CatLearning: highly accurate gene expression prediction from histone mark

2024-7-25

DeePhafier: a phage lifestyle classifier using a multilayer self-attention neural network combining protein information

2024-7-25

xSiGra: explainable model for single-cell spatial data elucidation

2024-7-25

Harnessing large language models’ zero-shot and few-shot learning capabilities for regulatory research

2024-7-25

DiffPROTACs is a deep learning-based generator for proteolysis targeting chimeras

2024-7-25

A computational approach to developing a multi-epitope vaccine for combating <i>Pseudomonas aeruginosa</i>–induced pneumonia and sepsis

2024-7-25

Reconstruction of gene regulatory networks for <i>Caenorhabditis elegans</i> using tree-shaped gene expression data

2024-7-25

A dual-scale fused hypergraph convolution-based hyperedge prediction model for predicting missing reactions in genome-scale metabolic networks

2024-7-25

TCR clustering by contrastive learning on antigen specificity

2024-7-25

Synthesis of geometrically realistic and watertight neuronal ultrastructure manifolds for <i>in silico</i> modeling

2024-7-25

Robust detection of infectious disease, autoimmunity, and cancer from the paratope networks of adaptive immune receptors

2024-7-25

INTREPPPID-an orthologue-informed quintuplet network for cross-species prediction of protein-protein interaction.

2024-7-25

GloEC: a hierarchical-aware global model for predicting enzyme function

2024-7-25

DeepEnzyme: a robust deep learning model for improved enzyme turnover number prediction by utilizing features of protein 3D-structures

2024-7-25

AntiFormer: graph enhanced large language model for binding affinity prediction

2024-7-25

ReCIDE: robust estimation of cell type proportions by integrating single-reference-based deconvolutions.

2024-7-25

BertTCR: a Bert-based deep learning framework for predicting cancer-related immune status based on T cell receptor repertoire.

2024-7-25

scHyper: reconstructing cell–cell communication through hypergraph neural networks

2024-7-25

Deep learning approaches for non-coding genetic variant effect prediction: current progress and future prospects

2024-7-25

TME-NET: an interpretable deep neural network for predicting pan-cancer immune checkpoint inhibitor responses

2024-7-25

CycPeptMP: enhancing membrane permeability prediction of cyclic peptides with multi-level molecular features and data augmentation

2024-7-25

TUnA: an uncertainty-aware transformer model for sequence-based protein–protein interaction prediction

2024-7-25

Herb-CMap: a multimodal fusion framework for deciphering the mechanisms of action in traditional Chinese medicine using Suhuang antitussive capsule as a case study

2024-7-25

<b>Explorer:</b> efficient DNA coding by De Bruijn graph toward arbitrary local and global biochemical constraints

2024-7-25

A pan-cancer interrogation of intronic polyadenylation and its association with cancer characteristics

2024-7-25

Identifying cell type-specific transcription factor-mediated activity immune modules reveal implications for immunotherapy and molecular classification of pan-cancer

2024-7-25

GA-GBLUP: leveraging the genetic algorithm to improve the predictability of genomic selection

2024-7-25

<i>BioM2</i>: biologically informed multi-stage machine learning for phenotype prediction using omics data

2024-7-25

Assessing next-generation sequencing-based computational methods for predicting transcriptional regulators with query gene sets

2024-7-25

MetaPredictor: <i>in silico</i> prediction of drug metabolites based on deep language models with prompt engineering

2024-7-25

MetaFluAD: meta-learning for predicting antigenic distances among influenza viruses

2024-7-25

A systematic evaluation of computational methods for cell segmentation

2024-7-25

Heterogeneous biomedical entity representation learning for gene–disease association prediction

2024-7-25

PMiSLocMF: predicting miRNA subcellular localizations by incorporating multi-source features of miRNAs

2024-7-25

Haxe as a Swiss knife for bioinformatic applications: the SeqPHASE case story

2024-7-25

BANMF-S: a blockwise accelerated non-negative matrix factorization framework with structural network constraints for single cell imputation

2024-7-25

Attribute-guided prototype network for few-shot molecular property prediction

2024-7-25