DLoopCaller: A deep learning approach for predicting genome-wide chromatin loops by integrating accessible chromatin landscapes.
Siguo WangQinhu ZhangYing HeZhen CuiZhen-Hao GuoKyungsook HanDe-Shuang HuangPublished in: PLoS Comput. Biol. (2022)
Keyphrases
- genome wide
- deep learning
- high throughput
- transcription factors
- human genome
- microarray
- chip seq
- unsupervised feature learning
- machine learning
- dna binding
- unsupervised learning
- systems biology
- biological data
- binding sites
- weakly supervised
- real time
- data acquisition
- co occurrence
- information extraction
- training data
- decision trees
- data mining