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

Ajay Anand Kumar, Liisa Holm, Petri Toronen

Research output: Contribution to journal › Article › Scientific › peer-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

Kumar, Ajay Anand ; Holm, Liisa ; Toronen, Petri. / GOParGenPy: a high throughput method to generate Gene Ontology data matrices. In: BMC Bioinformatics. 2013 ; Vol. 14, No. 242.
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Kumar, AA, Holm, L & Toronen, P 2013, 'GOParGenPy: a high throughput method to generate Gene Ontology data matrices', BMC Bioinformatics, vol. 14, no. 242. https://doi.org/10.1186/1471-2105-14-242

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 journal › Article › Scientific › peer-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 -

Kumar AA, Holm L, Toronen P. GOParGenPy: a high throughput method to generate Gene Ontology data matrices. BMC Bioinformatics. 2013 Aug 8;14(242). https://doi.org/10.1186/1471-2105-14-242

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