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Datascope: Mining Biological Sequences
November/December 1999 (vol. 14 no. 6)
pp. 38-43
| ASCII Text | x | ||
| Simon Kasif, "Datascope: Mining Biological Sequences," IEEE Intelligent Systems, vol. 14, no. 6, pp. 38-43, November/December, 1999. | |||
| BibTex | x | ||
| @article{ 10.1109/MIS.1999.10031, author = {Simon Kasif}, title = {Datascope: Mining Biological Sequences}, journal ={IEEE Intelligent Systems}, volume = {14}, number = {6}, issn = {1094-7167}, year = {1999}, pages = {38-43}, doi = {http://doi.ieeecomputersociety.org/10.1109/MIS.1999.10031}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - MGZN JO - IEEE Intelligent Systems TI - Datascope: Mining Biological Sequences IS - 6 SN - 1094-7167 SP38 EP43 EPD - 38-43 A1 - Simon Kasif, PY - 1999 KW - data mining KW - machine learning KW - computational genomics KW - bioinformatics VL - 14 JA - IEEE Intelligent Systems ER - | |||
This paper describes a methodology for building intelligent systems for mining biological sequences. The approach formalizes several key aspects of major bioinformatics systems that provide a functional annotation of newly sequenced genomes. The framework provides a high-level notation for specifying global genome structure, learning mechanisms for discovering genes, associating a function with hypothetical genes, and learning models for regulatory elements.
Index Terms:
data mining, machine learning, computational genomics, bioinformatics
Citation:
Simon Kasif, "Datascope: Mining Biological Sequences," IEEE Intelligent Systems, vol. 14, no. 6, pp. 38-43, Nov.-Dec. 1999, doi:10.1109/MIS.1999.10031
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