Skip to main content

2018 | OriginalPaper | Buchkapitel

Similarity Measurement of Gene Using Arc Tan Function in Gene Ontology

verfasst von : K. Vengatesan, S. B. Mahajan, P. Sanjeevikumar, R. M. Kulkarni, Sana Moin

Erschienen in: Advances in Electronics, Communication and Computing

Verlag: Springer Singapore

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

The Gene Ontology (GO) is a technique that measures second-hand the semantic relationship of genes using an exponential and arc tan-based technique. The proposed work develops an enhanced shortest path-based measure using GO semantic relationship. The existing work presented an undeviating corridor based on an amalgam appraise of ontological match. Using GO graph and in sequence pleased are factors that improve the effectiveness of transfer functions of semantic connection of gene ontology. The semantic technique evaluates weighted paths for GO similarity measure. Other similarity measures use the shortest path in their calculation but require the specificity of a concept in hybrid measure performance of correlated genes.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literatur
1.
Zurück zum Zitat Haris, A.: The gene ontology (GO) database & informatics resource. Nucleic Acids Res. 32 (2004) Haris, A.: The gene ontology (GO) database & informatics resource. Nucleic Acids Res. 32 (2004)
2.
Zurück zum Zitat Young, M., Wakefield, M., Smyth, G., Oshlack, A.: Gene ontology analysis for RNA-seq: accounting for selection bias. Genome Biol. (2010) Young, M., Wakefield, M., Smyth, G., Oshlack, A.: Gene ontology analysis for RNA-seq: accounting for selection bias. Genome Biol. (2010)
3.
Zurück zum Zitat Majewski, J., Zawadzki, P., Pickerill, P., Cohan, F., Dowson, C.: Barriers to genetic exchange between bacterial species: streptococcus pneumonia transformation. J. Bacteriol. 1016–1023 (2000) Majewski, J., Zawadzki, P., Pickerill, P., Cohan, F., Dowson, C.: Barriers to genetic exchange between bacterial species: streptococcus pneumonia transformation. J. Bacteriol. 1016–1023 (2000)
4.
5.
Zurück zum Zitat Paul, S., Baxter, D., Byrne, J.: Modeling transcriptional control in gene networks-methods, recent results, and future directions. Bull. Math. Biol. 62(2), 247–292 (2000)CrossRef Paul, S., Baxter, D., Byrne, J.: Modeling transcriptional control in gene networks-methods, recent results, and future directions. Bull. Math. Biol. 62(2), 247–292 (2000)CrossRef
6.
Zurück zum Zitat Xu, T., Du, L. Zhou, Y.: Evaluation of GO-based functional similarity measures using S. cerevisiae protein interaction and expression profile data. BMC Bioinf. 9 (2008) Xu, T., Du, L. Zhou, Y.: Evaluation of GO-based functional similarity measures using S. cerevisiae protein interaction and expression profile data. BMC Bioinf. 9 (2008)
7.
Zurück zum Zitat Barrett, T., Troup, D., Wilhite, S., Ledoux, P., Rudnev, D., Evangelista, C., Kim, I.F., Soboleva, A., Tom, M., Edgar, R.: NCBI GEO: mining tens of millions of expression profiles-database and tools update. Nucleic Acids Res. 35 (2006) Barrett, T., Troup, D., Wilhite, S., Ledoux, P., Rudnev, D., Evangelista, C., Kim, I.F., Soboleva, A., Tom, M., Edgar, R.: NCBI GEO: mining tens of millions of expression profiles-database and tools update. Nucleic Acids Res. 35 (2006)
8.
Zurück zum Zitat Jiang, J., Conrath, D.: Semantic similarity based on corpus statistics and lexical taxonomy. In: International Conference on Research in Computational Linguistics (ROCLING) (1997) Jiang, J., Conrath, D.: Semantic similarity based on corpus statistics and lexical taxonomy. In: International Conference on Research in Computational Linguistics (ROCLING) (1997)
9.
Zurück zum Zitat Schlicker, A., Domingues, F., Rahnenfuhrer, J., Lengauer, T.: A new measure for functional similarity of gene products based on gene ontology. BMC Bioinf. 7 (2006) Schlicker, A., Domingues, F., Rahnenfuhrer, J., Lengauer, T.: A new measure for functional similarity of gene products based on gene ontology. BMC Bioinf. 7 (2006)
10.
Zurück zum Zitat Vengatesan, K., Selvarajan, S., Pragadeeswaran, S.: The performance analysis of microarray data using occurrence clustering. Int. J. Math. Sci. Eng. 3, 69–75 (2014) Vengatesan, K., Selvarajan, S., Pragadeeswaran, S.: The performance analysis of microarray data using occurrence clustering. Int. J. Math. Sci. Eng. 3, 69–75 (2014)
11.
Zurück zum Zitat Yu, G., Li, F., Qin, Y., Xiaochen, B., Wu, S.W.: GO SemSim: an R package for measuring semantic similarity among GO terms and gene products. Bioinf. Appl. Note 26, 976–978 (2010)CrossRef Yu, G., Li, F., Qin, Y., Xiaochen, B., Wu, S.W.: GO SemSim: an R package for measuring semantic similarity among GO terms and gene products. Bioinf. Appl. Note 26, 976–978 (2010)CrossRef
Metadaten
Titel
Similarity Measurement of Gene Using Arc Tan Function in Gene Ontology
verfasst von
K. Vengatesan
S. B. Mahajan
P. Sanjeevikumar
R. M. Kulkarni
Sana Moin
Copyright-Jahr
2018
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-10-4765-7_83

Neuer Inhalt