Publication result detail

Gene Expression Data Mining Guided by Genomic Background Knowledge

SMRŽ, P.; ŠILHAVÁ, J.; KLÉMA, J.; ŽELEZNÝ, F.

Original Title

Gene Expression Data Mining Guided by Genomic Background Knowledge

English Title

Gene Expression Data Mining Guided by Genomic Background Knowledge

Type

Paper in proceedings outside WoS and Scopus

Original Abstract

Article considers combination of molecular biology data, gene expression data, additional knowledge on the most significant genes and their products from specialised services (e.g., pathway databases), and automatically derived results provided by relevant scientific literature in a gene-expression knowledge fusion system.

English abstract

Article considers combination of molecular biology data, gene expression data, additional knowledge on the most significant genes and their products from specialised services (e.g., pathway databases), and automatically derived results provided by relevant scientific literature in a gene-expression knowledge fusion system.

Keywords

Data mining, Gene expression data, Transcriptomic data, System architecture.

Key words in English

Data mining, Gene expression data, Transcriptomic data, System architecture.

Authors

SMRŽ, P.; ŠILHAVÁ, J.; KLÉMA, J.; ŽELEZNÝ, F.

RIV year

2010

Released

07.02.2008

Publisher

Springer Verlag

Location

Nový Smokovec

ISBN

978-80-7097-697-5

Book

SOFSEM 2008: Theory and Practice of Computer Science

Pages from

101

Pages to

111

Pages count

11

BibTex

@inproceedings{BUT29545,
  author="Pavel {Smrž} and Jana {Šilhavá} and Jiří {Kléma} and Filip {Železný}",
  title="Gene Expression Data Mining Guided by Genomic Background Knowledge",
  booktitle="SOFSEM 2008: Theory and Practice of Computer Science",
  year="2008",
  pages="101--111",
  publisher="Springer Verlag",
  address="Nový Smokovec",
  isbn="978-80-7097-697-5"
}