Complementary use of cluster analysis and biplots to discover and validate patterns of gene expression in microarray data

Niccoló Bassani, Federico Ambrogi, Danila Coradini, Patrizia Boracchi, Elia Biganzoli

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Microarray studies are used in molecular biology to explore patterns of expression of thousands of genes. This methodology has relevantly developed in the last decades, and so has the need for appropriate methods for analyzing high-throughput data generated from such experiments.

Original languageEnglish
Title of host publicationProceedings of the International Joint Conference on Neural Networks
DOIs
Publication statusPublished - 2010
Event2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010 - Barcelona, Spain
Duration: Jul 18 2010Jul 23 2010

Other

Other2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010
CountrySpain
CityBarcelona
Period7/18/107/23/10

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence

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    Bassani, N., Ambrogi, F., Coradini, D., Boracchi, P., & Biganzoli, E. (2010). Complementary use of cluster analysis and biplots to discover and validate patterns of gene expression in microarray data. In Proceedings of the International Joint Conference on Neural Networks [5596333] https://doi.org/10.1109/IJCNN.2010.5596333