Discovering the molecular targets of compounds or the cause of physiological conditions, among the multitude of known genes, is one of the major challenges of bioinformatics. Our approach has the advantage of not needing control samples, libraries or numerous assays. The so far proposed implementations of this strategy are computationally demanding. Our solution, while performing comparably to state of the art algorithms in terms of discovered targets, is more efficient in terms of memory and time consumption.

Efficient Mode of Action Identification by Support Vector Machine Regression

Bevilacqua, Vitoantonio;
2012

Abstract

Discovering the molecular targets of compounds or the cause of physiological conditions, among the multitude of known genes, is one of the major challenges of bioinformatics. Our approach has the advantage of not needing control samples, libraries or numerous assays. The so far proposed implementations of this strategy are computationally demanding. Our solution, while performing comparably to state of the art algorithms in terms of discovered targets, is more efficient in terms of memory and time consumption.
Emerging Intelligent Computing Technology and Applications : 8th International Conference, ICIC 2012, Huangshan, China, July 25-29, 2012. Proceedings
978-3-642-31836-8
Springer
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11589/12020
Citazioni
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact