-
ACRE - absolute concentration robustness exploration in module-based networks
-
DEEP - a general computational framework for predicting enhancers (NAR)
-
DRAF - a transcription factor (TF) binding site (TFBS) prediction tool
-
DragonWFS - a parallel GA wrapper feature selection tool for optimizing the performance of different classification methods
-
Dragon TF-TcoF Classifier - predicts and assigns a functional class of a protein that binds a transcription factor (TF)
-
Drug-Target Interaction tool (DDR) - predicts drug target interactions using multiple similarities
-
ElVira - an ontology modularization tool
-
FSFE - identifying enhancer signatures based on state-of-the-art computational techniques
-
Gracob - a graph-based biclustering method that is designed to find maximal constant-column biclusters in any given two-dimensional data matrix, particularly growth phenotype data in which each row represents a gene deletion strain and each column represents a stress condition
-
NMR slice picking and resonance assignment - This toos has two components, one for NMR slice picking and the other one for resonance assignment based on picked sliced
-
OmniGA - a framework for the optimization of omnivariate decision trees (ODTs) based on a parallel genetic algorithm (GA)
-
PEDAL - discriminative identification of transcriptional responses of promoters and enhancers after stimulus (NAR)
-
PEDI - parameter Estimation by Decomposition and Integration
-
Walking RDF and OWL - feature learning on knowledge graphs and ontologies