Published August 11, 2021
| Version v1
Dataset
Open
AutoCAT
Authors/Creators
- 1. Lyda Hill Department of Bioinformatics, UT Southwestern Medical Center
Description
AutoCAT is a computational method to predict tumor-associated TCRs from targeted TCR-seq data. Included in this dataset are the concatenated control and lung cancer cohort samples ("trainingData.txt") and the cluster file produced by applying GIANA to the concatenated file ("trainingData--RotationEncodingBL62.txt.") The original, unprocessed data are provided on the GitHub under the "trainingData" directory as well as the final training and validation files for input to DeepCAT.