dorothea

Elucidate and visualise a compound's mechanism of action by combining structure-based target prediction with gene expression-based causal reasoning, plus pathway enrichment to put results into biological context. GUI-based (minimal coding experience required).

FUNctional toolKIt platform for multi-omic functional analysis. An standardised pipeline to analysis transcriptomic, proteomic, phosphoproteomic and metabolomic datasets.

DoRothEA tool job executor for iPC VRE

this repository includes scRNA_seq analysis scripts of the data presented in https://www.sciencedirect.com/science/article/pii/S2473952923005608

Methods reference for transcription factor activity inference using ARACNe-AP and VIPER, with DoRothEA as a curated alternative.

Dorothea is a drug dataset. Chemical compounds represented by structural molecular features must be classified as active (binding to thrombin) or inactive. The dataset contained 100000 features(columns) and 800 observations(samples) in training dataset and 100000 features and 350 observations in validation dataset.