19 skills found
dhimmel / LincsLibrary of Integrated Cellular Signatures L1000
njpipeorgan / L1000 BayesianL1000 peak deconvolution based on Bayesian analysis
MaayanLab / L1000toRNAseqNo description available
krassowski / Drug Disease Profile MatchingMulti-omics disease sub-type specific drug repositioning aided with expression signatures from ConnectivityMap
kuijjerlab / RetrieverGenerate Robust Disease-Specific Response Signatures from the LINCS-L1000 Data
AyadLab / ScFOCALscFOCAL operates through the integration of drug-response transcriptional consensus signatures (TCSs) derived from the LINCS L1000 dataset with multi-subject single-cell RNA sequencing data, and facilitates analysis of drug and cell connectivity as a function of expression discordance from multiple perspectives.
MaayanLab / SEP L1000Website for visualizing predicted drug side-effects using L1000 data (http://maayanlab.net/SEP-L1000/)
MaayanLab / L1000FWDLarge-scale visualization of drug-induced transcriptomic signatures
evasnow1992 / DeepGenerativeModelLINCSDeep Generative Models for Learning Gene Expression Profile Latent Representations from LINCS L1000 data
manzt / Deep LincsA deep learning toolkit for LINCS L1000 expression data
nuno-agostinho / CTRAPIdentification of candidate causal perturbations from differential gene expression data
Wenyuan-AI4science / AetherCellAetherCell is a hierarchical generative framework designed to predict context-specific transcriptomic responses to drugs and genetic perturbations. By bridging high-resolution RNA-seq contexts with massive L1000 screens, it unifies biological identity and functional state shifts into a shared 256-dimensional manifold.
FangpingWan / EXP2SLEXP2SL: a Machine Learning Framework for Cell-Line Specific Synthetic Lethality Prediction
dosorio / L1000 TNBCSupporting information for "Drug combination prediction for cancer treatment using disease-specific drug response profiles and single-cell transcriptional signatures"
Tangerine995 / L1000 RepurposingDrug repurposing with L1000 data
BenderGroup / LINCS ExtractionCommand line extraction of the NIH LINCS L1000 data and other functionalities
JmWangBio / DoseL1000Dose-L1000 database
frlender / L1000CDS2An ultra-fast LINCS L1000 Characteristic Direction Signature Search Engine
AIMedLab / DeepCECode and Datasets for the paper "A deep learning framework for high-throughput mechanism-driven phenotype compound screening and its application to COVID-19 drug repurposing", published on Nature Machine Intelligence in 2021.
