Jiangning Song

Respiratory risks from wildfire-specific PM2.5 across multiple countries and territories

A Radiograph Dataset for the Classification, Localization, and Segmentation of Primary Bone Tumors

High-parameter spatial multi-omics through histology-anchored integration

MutPNI: A Unified Model Architecture for Accurately Predicting the Effects of Mutations on Protein-Nucleic Acid Interactions

Estimates of global mortality burden associated with short-term exposure to fine particulate matter (PM2·5)

Deep learning using histological images for gene mutation prediction in lung cancer: a multicentre retrospective study

Towards integrated cross-sectoral surveillance of pathogens and antimicrobial resistance: Needs, approaches, and considerations for linking surveillance to action

Ambient fine particulate matter and daily mortality: a comparative analysis of observed and estimated exposure in 347 cities

Feature Erasing and Diffusion Network for Occluded Person Re-Identification

Vision transformer-based weakly supervised histopathological image analysis of primary brain tumors

Cell graph neural networks enable the precise prediction of patient survival in gastric cancer

HEAL: an automated deep learning framework for cancer histopathology image analysis

Procleave: Predicting Protease-Specific Substrate Cleavage Sites by Combining Sequence and Structural Information

Regulating Polymyxin Resistance in Gram-Negative Bacteria: Roles of Two-Component Systems PhoPQ and PmrAB

DeepVF: a deep learning-based hybrid framework for identifying virulence factors using the stacking strategy

PASSION: an ensemble neural network approach for identifying the binding sites of RBPs on circRNAs

BastionHub: a universal platform for integrating and analyzing substrates secreted by Gram-negative bacteria

Systematic evaluation of machine learning methods for identifying human–pathogen protein–protein interactions

PROSPECT: A web server for predicting protein histidine phosphorylation sites

A framework towards data analytics on host–pathogen protein–protein interactions

iLearn: an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data

A comprehensive review and performance evaluation of bioinformatics tools for HLA class I peptide-binding prediction

MULTiPly: a novel multi-layer predictor for discovering general and specific types of promoters

DeepCleave: a deep learning predictor for caspase and matrix metalloprotease substrates and cleavage sites

PeNGaRoo, a combined gradient boosting and ensemble learning framework for predicting non-classical secreted proteins

PRISMOID: a comprehensive 3D structure database for post-translational modifications and mutations with functional impact

<i>iFeature</i>: a Python package and web server for features extraction and selection from protein and peptide sequences

<i>Quokka</i>: a comprehensive tool for rapid and accurate prediction of kinase family-specific phosphorylation sites in the human proteome

Bastion6: a bioinformatics approach for accurate prediction of type VI secreted effectors

Large-scale comparative assessment of computational predictors for lysine post-translational modification sites