High-throughput technologies such as DNA/RNA microarrays, mass spectrometry and protein chips are creating unprecedented opportunities to accelerate towards the understanding of living systems and the identification of target genes and pathways for drug development and therapeutic intervention. However, the increasing volumes of data generated by molecular profiling experiments pose formidable challenges to investigate an overwhelming mass of information and turn it into predictive, deployable markers. Advanced biostatistics and machine learning methods from computer science have been applied to analyze and correlate numerical values of profiling intensities to physiological states. This article reviews the application of artificial neural networks, an information-processing tool, to the identification of sets of diagnostic/prognostic biomarkers from high-throughput profiling data.

Artificial neural network technologies to identify biomarkers for therapeutic intervention / Bicciato, Silvio. - In: CURRENT OPINION IN MOLECULAR THERAPEUTICS. - ISSN 1464-8431. - STAMPA. - 6:(2004), pp. 616-623.

Artificial neural network technologies to identify biomarkers for therapeutic intervention

BICCIATO, Silvio
2004

Abstract

High-throughput technologies such as DNA/RNA microarrays, mass spectrometry and protein chips are creating unprecedented opportunities to accelerate towards the understanding of living systems and the identification of target genes and pathways for drug development and therapeutic intervention. However, the increasing volumes of data generated by molecular profiling experiments pose formidable challenges to investigate an overwhelming mass of information and turn it into predictive, deployable markers. Advanced biostatistics and machine learning methods from computer science have been applied to analyze and correlate numerical values of profiling intensities to physiological states. This article reviews the application of artificial neural networks, an information-processing tool, to the identification of sets of diagnostic/prognostic biomarkers from high-throughput profiling data.
2004
6
616
623
Artificial neural network technologies to identify biomarkers for therapeutic intervention / Bicciato, Silvio. - In: CURRENT OPINION IN MOLECULAR THERAPEUTICS. - ISSN 1464-8431. - STAMPA. - 6:(2004), pp. 616-623.
Bicciato, Silvio
File in questo prodotto:
File Dimensione Formato  
Bicciato_CurrOpMolTer_2004.pdf

Accesso riservato

Tipologia: Versione pubblicata dall'editore
Dimensione 418.4 kB
Formato Adobe PDF
418.4 kB Adobe PDF   Visualizza/Apri   Richiedi una copia
Pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/421449
Citazioni
  • ???jsp.display-item.citation.pmc??? 1
  • Scopus 12
  • ???jsp.display-item.citation.isi??? 10
social impact