Machine learning and discovery for bioinformatics

Satoru Miyano, Ayumi Shinohara

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

Abstract

This minitrack touches on the methods and strategies for learning and discovering new hidden knowledge in the natural sciences. This hidden knowledge means function of sequences and their structure, motif, common feature, mechanisms, etc. AI technologies and algorithmic paradigms may contribute to this purpose. Machine learning and discovery for bioinformatics copes with various kinds of problems raised by researchers with the help of AI technologies. There are six papers selected for evaluation, all touching on the topics about proteins and their sequences, database systems, algorithms, DNA sequences and high performance sequence analysis.

Original languageEnglish
Title of host publicationProceedings of the Hawaii International Conference on System Sciences
EditorsJay F. Nunamaker, Ralph H.Jr. Sprague
PublisherPubl by IEEE
Pages111-112
Number of pages2
ISBN (Print)0818650907
Publication statusPublished - 1995 Jan 1
Externally publishedYes
EventProceedings of the 27th Hawaii International Conference on System Sciences (HICSS-27). Part 4 (of 5) - Wailea, HI, USA
Duration: 1994 Jan 41994 Jan 7

Publication series

NameProceedings of the Hawaii International Conference on System Sciences
Volume5
ISSN (Print)1060-3425

Other

OtherProceedings of the 27th Hawaii International Conference on System Sciences (HICSS-27). Part 4 (of 5)
CityWailea, HI, USA
Period94/1/494/1/7

ASJC Scopus subject areas

  • Computer Science(all)

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