HiCPlus statistics

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Citations per year

Number of citations per year for the bioinformatics software tool HiCPlus
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HiCPlus specifications

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Unique identifier OMICS_16602
Name HiCPlus
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages Python
Computer skills Advanced
Stability Stable
Requirements
Theano, Lasagne, Nolearn
Maintained Yes

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Documentation


Maintainer


  • person_outline Feng Yue

Publication for HiCPlus

HiCPlus citation

library_books

Enhancing Hi C data resolution with deep convolutional neural network HiCPlus

2018
Nat Commun
PMCID: 5821732
PMID: 29467363
DOI: 10.1038/s41467-018-03113-2

[…]  f1 matrix. Here n1 and f1 are the filter numbers and filter size, respectively. Both n1 and f1 are hyperparameters in the ConvNet, and we set n1 to 16 and f1 to 5. As shown in (Supplementary Fig. ), HiCPlus is not sensitive to these hyperparameters. The Rectified Linear Unit (ReLU) is utilized as the non-linear activation function. […]


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HiCPlus institution(s)
Department of Computer Science and Engineering, University of South Carolina, Columbia, SC, USA; Bioinformatics and Genomics Program, Huck Institutes of the Life Sciences, Penn State University, University Park, PA, USA; Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH, USA; Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin University, Tianjing, China; Department of Biochemistry and Molecular Biology, Penn State School of Medicine, Hershey, PA, USA
HiCPlus funding source(s)
This work is supported by NIH grants U01CA200060 and R24DK106766, U54KD107977, and by NSF award #1161586.

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