PILL specifications

Information


Unique identifier OMICS_07481
Name PILL
Alternative name Predict protein functions using Incomplete hierarchical LabeLs
Software type Application/Script
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 Predict protein functions using Incomplete hierarchical LabeLs

PILL citation

library_books

Predicting protein function via downward random walks on a gene ontology

2015
BMC Bioinformatics
PMCID: 4551531
PMID: 26310806
DOI: 10.1186/s12859-015-0713-y

[…] nnotations of proteins to make prediction. These weak-label learning methods explicitly consider only the flat relationships among labels. More recently, Yu et al. [] proposed a method called PILL to predict protein functions using incomplete hierarchical labels. PILL takes advantage of the hierarchical and flat relationships among functional labels, along with the PPI network to replenish the mis […]

PILL institution(s)
Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong, China; College of Computer and Information Sciences, Southwest University, Chongqing, China; Department of Computer Science, George Mason University, Fairfax, VA, USA
PILL funding source(s)
Supported in part by the Research Grants Council of Hong Kong (No. 212111 and 212613), Natural Science Foundation of China (No. 61101234 and 61402378), Natural Science Foundation of CQ CSTC (No. cstc2014jcyjA40031), Fundamental Research Funds for the Central Universities of China (No. XDJK2014C044) and Doctoral Fund of Southwest University (No. SWU113034).

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