20 datasets found

The Diabetes and Asia datasets were used for the experiments.

The HIV-1 protease cleavage dataset is compiled from four data source files, with the primary purpose to develop effective protease cleavage inhibitors by predicting whether the...

The Chemical-Disease Relations (CDR) dataset was built for the BioCreative V challenge and annotated with one relation "chemical-induced disease" manually.

TCR-epitope binding affinity prediction dataset

TCR-epitope binding affinity prediction dataset

UniProtKB Human Gene binding prediction

IEDB weekly automated benchmark datasets

The dataset is a collection of multi-omic data from lower-grade glioma (LGG) tumor samples collected by the TCGA Research Network.

The dataset used for diagnosis analysis of obesity spectrum disorders

Alternative Splicing is a dataset of RNA sequences used for predicting alternative gene splicing.

Structural Classification of Proteins — extended (SCOPe) dataset

Mutag dataset is a benchmark dataset for graph neural networks, containing 188 cancer and 67 non-cancer cells.

This dataset contains enzyme structures and their corresponding features.

This dataset contains protein structures and their corresponding features.

We use the promoter DNA sequence dataset containing 100k promoter sequences with the corresponding transcription initiation signal profiles.

The dataset is used for compound-protein binding affinity prediction, and it contains 1963 compound-protein pairs.

The dataset is used for compound-protein binding affinity prediction, and it contains 218,615 compound-protein pairs.

The dataset used in the paper is a small drug-gene-disease network.

The dataset used in the paper is a sparse user-item interaction matrix, a protein-protein similarity matrix, and a drug-drug similarity matrix.

The dataset used in the paper is a collection of small images, each representing a patch of a jigsaw puzzle. The patches are of the same size and orientation, and the goal is to...