Stochastic decision predicates: a scheme to represent motifs
Gespeichert in:
| Beteiligte Personen: | , |
|---|---|
| Format: | Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
Tokyo, Japan
1991
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| Schriftenreihe: | Shin-Sedai-Konpyūta-Gijutsu-Kaihatsu-Kikō <Tōkyō>: ICOT technical report
657 |
| Schlagwörter: | |
| Abstract: | Abstract: "This paper presents a new scheme for classifying genetic sequences, called Stochastic Decision Predicates. A stochastic decision predicate consists of Horn clauses and their probability parameters, and represents a (stochastic) motif that denotes a probabilistic mapping from a genetic sequence to a set of categories, such as protein families. For the selection of stochastic decision predicates, quantative evaluation is possible from the viewpoint of predictive performance for unknown sequences as well as discrimination performance for the given genetic sequences. We employ Rissanen's Minimum Description Length (MDL) principle in order to avoid overlearning caused by the statistical fluctuation Our experimental results demonstrate that the MDL principle produces motifs with less predictive errors than the maximum likelihood method. |
| Umfang: | 7 S. |
Internformat
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| 100 | 1 | |a Konagaya, Akihiko |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Stochastic decision predicates |b a scheme to represent motifs |c by A. Konagaya & K. Yamanishi |
| 264 | 1 | |a Tokyo, Japan |c 1991 | |
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| 490 | 1 | |a Shin-Sedai-Konpyūta-Gijutsu-Kaihatsu-Kikō <Tōkyō>: ICOT technical report |v 657 | |
| 520 | 3 | |a Abstract: "This paper presents a new scheme for classifying genetic sequences, called Stochastic Decision Predicates. A stochastic decision predicate consists of Horn clauses and their probability parameters, and represents a (stochastic) motif that denotes a probabilistic mapping from a genetic sequence to a set of categories, such as protein families. For the selection of stochastic decision predicates, quantative evaluation is possible from the viewpoint of predictive performance for unknown sequences as well as discrimination performance for the given genetic sequences. We employ Rissanen's Minimum Description Length (MDL) principle in order to avoid overlearning caused by the statistical fluctuation | |
| 520 | 3 | |a Our experimental results demonstrate that the MDL principle produces motifs with less predictive errors than the maximum likelihood method. | |
| 650 | 4 | |a Genetics |x Computer programs | |
| 700 | 1 | |a Yamanishi, Kenji |e Verfasser |4 aut | |
| 830 | 0 | |a Shin-Sedai-Konpyūta-Gijutsu-Kaihatsu-Kikō <Tōkyō>: ICOT technical report |v 657 |w (DE-604)BV010923438 |9 657 | |
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-007326703 | |
Datensatz im Suchindex
| DE-BY-TUM_call_number | 0111 2001 B 6123-657 |
|---|---|
| DE-BY-TUM_katkey | 765840 |
| DE-BY-TUM_location | 01 |
| DE-BY-TUM_media_number | 040010279184 |
| _version_ | 1821938138808844288 |
| any_adam_object | |
| author | Konagaya, Akihiko Yamanishi, Kenji |
| author_facet | Konagaya, Akihiko Yamanishi, Kenji |
| author_role | aut aut |
| author_sort | Konagaya, Akihiko |
| author_variant | a k ak k y ky |
| building | Verbundindex |
| bvnumber | BV010954338 |
| ctrlnum | (OCoLC)26293313 (DE-599)BVBBV010954338 |
| format | Book |
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| id | DE-604.BV010954338 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-20T10:03:45Z |
| institution | BVB |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-007326703 |
| oclc_num | 26293313 |
| open_access_boolean | |
| owner | DE-91G DE-BY-TUM |
| owner_facet | DE-91G DE-BY-TUM |
| physical | 7 S. |
| publishDate | 1991 |
| publishDateSearch | 1991 |
| publishDateSort | 1991 |
| record_format | marc |
| series | Shin-Sedai-Konpyūta-Gijutsu-Kaihatsu-Kikō <Tōkyō>: ICOT technical report |
| series2 | Shin-Sedai-Konpyūta-Gijutsu-Kaihatsu-Kikō <Tōkyō>: ICOT technical report |
| spellingShingle | Konagaya, Akihiko Yamanishi, Kenji Stochastic decision predicates a scheme to represent motifs Shin-Sedai-Konpyūta-Gijutsu-Kaihatsu-Kikō <Tōkyō>: ICOT technical report Genetics Computer programs |
| title | Stochastic decision predicates a scheme to represent motifs |
| title_auth | Stochastic decision predicates a scheme to represent motifs |
| title_exact_search | Stochastic decision predicates a scheme to represent motifs |
| title_full | Stochastic decision predicates a scheme to represent motifs by A. Konagaya & K. Yamanishi |
| title_fullStr | Stochastic decision predicates a scheme to represent motifs by A. Konagaya & K. Yamanishi |
| title_full_unstemmed | Stochastic decision predicates a scheme to represent motifs by A. Konagaya & K. Yamanishi |
| title_short | Stochastic decision predicates |
| title_sort | stochastic decision predicates a scheme to represent motifs |
| title_sub | a scheme to represent motifs |
| topic | Genetics Computer programs |
| topic_facet | Genetics Computer programs |
| volume_link | (DE-604)BV010923438 |
| work_keys_str_mv | AT konagayaakihiko stochasticdecisionpredicatesaschemetorepresentmotifs AT yamanishikenji stochasticdecisionpredicatesaschemetorepresentmotifs |
Paper/Kapitel scannen lassen
Teilbibliothek Mathematik & Informatik, Berichte
| Signatur: |
0111 2001 B 6123-657 Lageplan |
|---|---|
| Exemplar 1 | Ausleihbar Am Standort |