GOParGenPy: a high throughput method to generate Gene Ontology data matrices

Ajay Anand Kumar, Liisa Holm, Petri Toronen

Research output: Contribution to journalArticleScientificpeer-review

Original languageEnglish
JournalBMC Bioinformatics
Volume14
Issue number242
Number of pages7
ISSN1471-2105
DOIs
Publication statusPublished - 8 Aug 2013
MoE publication typeA1 Journal article-refereed

Fields of Science

  • Gene Ontology
  • Large-scale datasets
  • Data Mining
  • Machine learning
  • Bioinformatics
  • FUNCTION PREDICTION
  • EXPRESSION DATA
  • 1184 Genetics, developmental biology, physiology

Cite this

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title = "GOParGenPy: a high throughput method to generate Gene Ontology data matrices",
keywords = "Gene Ontology, Large-scale datasets, Data Mining, Machine learning, Bioinformatics, FUNCTION PREDICTION, EXPRESSION DATA, 1184 Genetics, developmental biology, physiology",
author = "Kumar, {Ajay Anand} and Liisa Holm and Petri Toronen",
year = "2013",
month = "8",
day = "8",
doi = "10.1186/1471-2105-14-242",
language = "English",
volume = "14",
journal = "BMC Bioinformatics",
issn = "1471-2105",
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GOParGenPy: a high throughput method to generate Gene Ontology data matrices. / Kumar, Ajay Anand; Holm, Liisa; Toronen, Petri.

In: BMC Bioinformatics, Vol. 14, No. 242, 08.08.2013.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - GOParGenPy: a high throughput method to generate Gene Ontology data matrices

AU - Kumar, Ajay Anand

AU - Holm, Liisa

AU - Toronen, Petri

PY - 2013/8/8

Y1 - 2013/8/8

KW - Gene Ontology

KW - Large-scale datasets

KW - Data Mining

KW - Machine learning

KW - Bioinformatics

KW - FUNCTION PREDICTION

KW - EXPRESSION DATA

KW - 1184 Genetics, developmental biology, physiology

U2 - 10.1186/1471-2105-14-242

DO - 10.1186/1471-2105-14-242

M3 - Article

VL - 14

JO - BMC Bioinformatics

JF - BMC Bioinformatics

SN - 1471-2105

IS - 242

ER -