Dloopcaller: a deep learning approach for predicting genome-wide chromatin loops by integrating accessible chromatin landscapes

HIGHLIGHTS

• who: Siguo Wang and colleagues from the Institute of Machine Learning and Systems Biology, School of Electronics and Information Engineering, Tongji University, Shanghai, China, Translational Medical Center for Stem Cell Therapy and Institute for have published the research work: DLoopCaller: A deep learning approach for predicting genome-wide chromatin loops by integrating accessible chromatin landscapes, in the Journal: (JOURNAL) of September/14,/2022
• what: The authors demonstrate the performance of the proposed method to identify some unique chromatin loops with high confidence.
• how: Model training For a fair comparison with the competing methods . . .
  

   

  

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