Name
Title | ||
|---|---|---|
Exact Identification of the Structure of a Probabilistic Boolean Network from Samples. |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TCBB.2015.2505310 | IEEE/ACM Trans. Comput. Biology Bioinform. |
Keywords | Field | DocType |
Boolean functions,Probabilistic logic,Biological system modeling,Bioinformatics,Complexity theory,Mathematical model,Probability distribution | Small number,Boolean network,Boolean function,Computer science,Probability distribution,Artificial intelligence,Probabilistic logic,Bioinformatics,Sample complexity,Computational analysis,Machine learning,Bounded function | Journal |
Volume | Issue | ISSN |
13 | 6 | 1545-5963 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaoqing Cheng | 1 | 12 | 3.26 |
| Tomoya Mori | 2 | 6 | 2.51 |
| Yushan Qiu | 3 | 20 | 6.28 |
| Wai-Ki Ching | 4 | 683 | 78.66 |
| Tatsuya Akutsu | 5 | 2169 | 216.05 |