An empirical comparison of popular structure learning algorithms with a view to gene network inference
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F17%3A00477168" target="_blank" >RIV/67985556:_____/17:00477168 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.ijar.2016.12.012" target="_blank" >http://dx.doi.org/10.1016/j.ijar.2016.12.012</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ijar.2016.12.012" target="_blank" >10.1016/j.ijar.2016.12.012</a>
Alternative languages
Result language
angličtina
Original language name
An empirical comparison of popular structure learning algorithms with a view to gene network inference
Original language description
In this work, we study the performance of different structure learning algorithms in the context of inferring gene networks from transcription data. We consider representatives of different structure learning approaches, some of which perform unrestricted searches, such as the PC algorithm and the Gobnilp method, and some of which introduce prior information on the structure, such as the K2 algorithm. Competing methods are evaluated both in terms of their predictive accuracy and their ability to reconstruct the true underlying network. Areal data application based on an experiment performed by the University of Padova is also considered.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA16-12010S" target="_blank" >GA16-12010S: Conditional independence structures: combinatorial and optimization methods</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Approximate Reasoning
ISSN
0888-613X
e-ISSN
—
Volume of the periodical
88
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
14
Pages from-to
602-613
UT code for WoS article
000407655600031
EID of the result in the Scopus database
2-s2.0-85009223244