Pretata specifications

Information


Unique identifier OMICS_18575
Name Pretata
Interface Web user interface
Restrictions to use None
Input data Some Sequences.
Input format FASTA
Computer skills Basic
Stability Stable
Maintained Yes

Maintainers


  • person_outline Xiangxiang Zeng
  • person_outline Shixiang Wan

Information


Unique identifier OMICS_18575
Name Pretata
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Computer skills Advanced
Stability Stable
Maintained Yes

Download


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Versioning


No version available

Maintainers


  • person_outline Xiangxiang Zeng
  • person_outline Shixiang Wan

Publication for Pretata

Pretata citation

library_books

Computational prediction of human disease related microRNAs by path based random walk

2017
Oncotarget
PMCID: 5601672
PMID: 28938576
DOI: 10.18632/oncotarget.17226

[…] sociations based on the known diseases and miRNAs. Li et al. [], proposed MCMDA model which based on updating the adjacency matrix feature for known related miRNAs and disease.Zou et al. [] presented Pretata, a predictive method to identify TATA-binding proteins. This model is an applied advanced machine learning methods which facilitate to identify TBP (TATA-binding proteins) and protein detectio […]

Pretata institution(s)
School of Computer Science and Technology, Tianjin University, Tianjin, China; Key Laboratory of Network Oriented Intelligent Computation, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, Guangdong, China; School of Information Science and Engineering, Xiamen University, Xiamen, China; School of Computational Science and Engineering, University of South Carolina, Columbia, CA, USA
Pretata funding source(s)
Supported by the Natural Science Foundation of China (No. 61370010).

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