Bioinformatics: the machine learning approach by Baldi Pierre and Soren Brunak
Material type: TextPublication details: Cambridge MIT Press 2001Description: xxi, 452pISBN: 8176710369; 9780262025065Subject(s): Neural networks (Computer science) | Molecualr biology-computer Simulation | Markov Process | Machine Learning | BioinformaticsDDC classification: 572.86 BALItem type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds |
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REFERENCE BOOK | LRC_JUIT Biotechnology and Bioinformatics | REFERENCE SECTION | REF 572.86 BAL (Browse shelf (Opens below)) | Copy 1 | Not for loan | 003070 | ||
TEXT BOOK | LRC_JUIT Biotechnology and Bioinformatics | TEXTBOOK SECTION | 572.86 BAL (Browse shelf (Opens below)) | Copy 2 | Available | 003440 | ||
TEXT BOOK | LRC_JUIT Biotechnology and Bioinformatics | TEXTBOOK SECTION | 572.86 BAL (Browse shelf (Opens below)) | Copy 3 | Available | 003441 | ||
TEXT BOOK | LRC_JUIT Biotechnology and Bioinformatics | TEXTBOOK SECTION | 572.86 BAL (Browse shelf (Opens below)) | Copy 4 | Available | 003442 | ||
TEXT BOOK | LRC_JUIT Biotechnology and Bioinformatics | TEXTBOOK SECTION | 572.86 BAL (Browse shelf (Opens below)) | Copy 5 | Available | 009283 | ||
TEXT BOOK | LRC_JUIT Biotechnology and Bioinformatics | TEXTBOOK SECTION | 572.86 BAL (Browse shelf (Opens below)) | Copy 6 | Available | 009284 | ||
TEXT BOOK | LRC_JUIT Biotechnology and Bioinformatics | TEXTBOOK SECTION | 572.86 BAL (Browse shelf (Opens below)) | Copy 7 | Available | 009285 |
Total holds: 0
Browsing LRC_JUIT shelves, Shelving location: Biotechnology and Bioinformatics, Collection: TEXTBOOK SECTION Close shelf browser (Hides shelf browser)
572.86 AVI Molecular Markers, Natural History and Evolution | 572.86 BAC Bioinformatics | 572.86 BAL Bioinformatics: the machine learning approach | 572.86 BAL Bioinformatics: the machine learning approach | 572.86 BAL Bioinformatics: the machine learning approach | 572.86 BAL Bioinformatics: the machine learning approach | 572.86 BAL Bioinformatics: the machine learning approach |
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