saisaitian Goto Github PK

ace2_modulating_drugs

Identification of ACE2 expression-modulating drugs

afnetproximity

aidps

Artificial intelligence-derived prognostic signature

alzgpsnet

Multimodal single-cell/nucleus RNA-sequencing data analysis uncovers molecular networks between disease-associated microglia and astrocytes with implications for drug repurposing in Alzheimer’s disease

alzte-hhv

alzteqtl

anti-pd1_escc

antiinflammation_drugs

Exploration of Anti-Inflammatory drugs

apa_pda

asgard

bayesynergy

An R package for Bayesian semi-parametric modelling of in-vitro drug combination experiments

bcaller

Bladder Cancer Index Caller

beautiful-visualization-with-r

《R语言数据可视化之美》配套代码

benchmark_control

This work comprehensively provides performance comparisons of 16 Sample-Specific network Control (SSC) analysis frameworks based on the combination of four sample-specific network reconstruction methods and four representative structural control methods corresponding to the two steps of SSC on the real-world biological data.

bhlhe40

Code for "Single-Cell RNA Sequencing and Spatial Transcriptomics Analysis Identify BHLHE40 as A Key Transcription Factor for EMT in Metastatic Colorectal Cancer"

biochempantry

Load bioinformatics datasets into a local database

bioinfohub

biologicalmodulecomparison

A framework for the topological and functional comparison of modular structures in biological networks

biorfr

brca_cell_atlas

Data processing and analysis related code associated with the study "A single-cell and spatially resolved atlas of human breast cancers".

brca_tnbc_chemoresistance_companion

brcanmolsub_targets

Scripts for my doctoral thesis: Search for new therapeutic targets for breast cancer molecular subtypes

cadr

Analysis of tripartite drug - biofeature - adverse reaction networks for identification of combinatorial drug adverse effects

cancer_network_control

This packge is a platform to identify personalized driver genes by integrating different single sample network construction methods and different structure based network control principles.

ccn_immunotherapy

ccrcc_drug_repositioning

ccrcc_mos

code and raw data for the project of ccRCC multi-omics subtypes

cell-death-signatures

Analysis code for NAR manuscript

cellbox

CellBox: Interpretable Machine Learning for Perturbation Biology

cellot

Learning Single-Cell Perturbation Responses using Neural Optimal Transport