Blood microbial analyses reveal long-term effects of SARS-CoV-2 infection on patients who recovered from COVID-19.

SCancerRNA: Expression at the Single-cell Level and Interaction Resource of Non-coding RNA Biomarkers for Cancers.

Attention mechanism models for precision medicine.

Microbiome characteristics description of COVID-19 patients based on bulk RNA-seq and scRNA-Seq data.

iATMEcell: identification of abnormal tumor microenvironment cells to predict the clinical outcomes in cancer based on cell-cell crosstalk network.

<i>microbioTA</i>: an atlas of the microbiome in multiple disease tissues of <i>Homo sapiens</i> and <i>Mus musculus</i>.

gutMDisorder v2.0: a comprehensive database for dysbiosis of gut microbiota in phenotypes and interventions.

MGPLI: exploring multigranular representations for protein-ligand interaction prediction.

SCovid: single-cell atlases for exposing molecular characteristics of COVID-19 across 10 human tissues.

gutMGene: a comprehensive database for target genes of gut microbes and microbial metabolites.

ELECTRA-DTA: a new compound-protein binding affinity prediction model based on the contextualized sequence encoding.

A modified exchange algorithm for distributional robust optimization and applications in risk management.

A comprehensive review of the analysis and integration of omics data for SARS-CoV-2 and COVID-19.

SubtypeDrug: a software package for prioritization of candidate cancer subtype-specific drugs.

Deep-DRM: a computational method for identifying disease-related metabolites based on graph deep learning approaches.

CNA2Subpathway: identification of dysregulated subpathway driven by copy number alterations in cancer.

Functional alterations caused by mutations reflect evolutionary trends of SARS-CoV-2.

gutMDisorder: a comprehensive database for dysbiosis of the gut microbiota in disorders and interventions.

DeepLGP: a novel deep learning method for prioritizing lncRNA target genes.

psSubpathway: a software package for flexible identification of phenotype-specific subpathways in cancer progression.

LncRNA2Target v2.0: a comprehensive database for target genes of lncRNAs in human and mouse.

Identifying Alzheimer's disease-related proteins by LRRGD.

MetSigDis: a manually curated resource for the metabolic signatures of diseases.

Identifying diseases-related metabolites using random walk.

DincRNA: a comprehensive web-based bioinformatics toolkit for exploring disease associations and ncRNA function.

A novel method to identify pre-microRNA in various species knowledge base on various species.

DisSetSim: an online system for calculating similarity between disease sets.

Using Semantic Association to Extend and Infer Literature-Oriented Relativity Between Terms.