Big Bird: Transformers for Longer Sequences
Table 11: Chromatin-Profile Prediction
['Model', 'TF', 'HM', 'DHS']
Majority of diseases and other trait associated Thus, understanding the functional effects of non-coding regions of DNA is a very important task. An important step in this process, as defined by Zhou and Troyanskaya The corresponding ML task is to predict, for a given non-coding region of DNA, these 919 chromatin-profile including 690 transcription factors (TF) binding profiles for 160 different TFs, 125 DNase I sensitivity (DHS) profiles and 104 histone-mark (HM) profiles. We jointly learn 919 binary classifiers to predict these functional effects from sequence of DNA fragments.