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| ファイル | 記述 | サイズ | フォーマット | |
|---|---|---|---|---|
| TCBB.2015.2505310.pdf | 240.67 kB | Adobe PDF | 見る/開く |
| タイトル: | Exact Identification of the Structure of a Probabilistic Boolean Network from Samples |
| 著者: | Cheng, Xiaoqing Mori, Tomoya   https://orcid.org/0000-0003-3483-0056 (unconfirmed)Qiu, Yushan Ching, Wai-Ki Akutsu, Tatsuya  https://orcid.org/0000-0001-9763-797X (unconfirmed) |
| 著者名の別形: | 森, 智弥 阿久津, 達也 |
| キーワード: | probabilistic Boolean networks genetic networks network inference sample complexity |
| 発行日: | 1-Nov-2016 |
| 出版者: | Institute of Electrical and Electronics Engineers (IEEE) |
| 誌名: | IEEE/ACM Transactions on Computational Biology and Bioinformatics |
| 巻: | 13 |
| 号: | 6 |
| 開始ページ: | 1107 |
| 終了ページ: | 1116 |
| 抄録: | We study the number of samples required to uniquely determine the structure of a probabilistic Boolean network (PBN), where PBNs are probabilistic extensions of Boolean networks. We show via theoretical analysis and computational analysis that the structure of a PBN can be exactly identified with high probability from a relatively small number of samples for interesting classes of PBNs of bounded indegree. On the other hand, we also show that there exist classes of PBNs for which it is impossible to uniquely determine the structure of a PBN from samples. |
| 著作権等: | © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. この論文は出版社版でありません。引用の際には出版社版をご確認ご利用ください。 This is not the published version. Please cite only the published version. |
| URI: | http://hdl.handle.net/2433/252326 |
| DOI(出版社版): | 10.1109/TCBB.2015.2505310 |
| PubMed ID: | 26661790 |
| 出現コレクション: | 学術雑誌掲載論文等 |
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