ProMK specifications

Information


Unique identifier OMICS_10761
Name ProMK
Alternative name Predicting Protein Function using Multiple Kernels
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages MATLAB
Computer skills Advanced
Stability Stable
Maintained Yes

Versioning


No version available

Maintainer


  • person_outline Guoxian Yu

Publication for Predicting Protein Function using Multiple Kernels

ProMK citations

 (2)
library_books

An efficient method for protein function annotation based on multilayer protein networks

2016
Hum Genomics
PMCID: 5039885
PMID: 27678214
DOI: 10.1186/s40246-016-0087-x

[…] c Iterated BLAST). Kumar et al. [] proposed an improved approach for protein function prediction by exploiting the connectivity properties of prominent proteins. Yu et al. [] proposed a method called Predicting Protein Function using Multiple Kernels (ProMK). ProMK iteratively optimizes the phases of learning optimal weights and reduces the empirical loss of multi-label classifier for each of the […]

library_books

Integrating multiple networks for protein function prediction

2015
BMC Syst Biol
PMCID: 4331678
PMID: 25707434
DOI: 10.1186/1752-0509-9-S1-S3

[…] the next subsection). The Fmax values on the first three networks progressively decrease, and the weights assigned by MNet and SW to these networks also decrease. In contrast, the weights assigned by ProMK do not follow this trend. ProMK assigns larger weights to the 2nd and 3rd networks. The Fmax values on the next three (4-th, 5-th, and 6-th) networks, as well as the weights assigned by MNet, pr […]

ProMK institution(s)
Coll of Comput & Inf Sci, Southwest Univ, Chongqing, China

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