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Peter Juvan

dblp:29/4799 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2003
0000-0003-2873-5247ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › biological network › network biology
genetic network analysis
0.012003
GenePath: a system for automated construction of genetic networks from mutant data · Bioinform. 2003
Bioinformatics and computational biology
statistical genetics
0.012003
GenePath: a system for automated construction of genetic networks from mutant data · Bioinform. 2003

Methods — techniques the papers use, named apart from their topics

expert-defined patterns · 0.0constraint satisfaction · 0.0
YearPublicationVenuePosition
2003 GenePath: a system for inference of genetic networks and proposal of genetic experiments
Blaz Zupan, Ivan Bratko, Janez Demsar, Peter Juvan, Tomaz Curk, Urban Borstnik, J. Robert Beck, John A. Halter, Adam Kuspa, Gad Shaulsky
Artif. Intell. Medicine4
2003 GenePath: a system for automated construction of genetic networks from mutant data
abstract
MOTIVATION: Genetic networks are often used in the analysis of biological phenomena. In classical genetics, they are constructed manually from experimental data on mutants. The field lacks formalism to guide such analysis, and accounting for all the data becomes complicated when large amounts of data are considered. RESULTS: We have developed GenePath, an intelligent assistant that automates the analysis of genetic data. GenePath employs expert-defined patterns to uncover gene relations from the data, and uses these relations as constraints in the search for a plausible genetic network. GenePath formalizes genetic data analysis, facilitates the consideration of all the available data in a consistent manner, and the examination of the large number of possible consequences of planned experiments. It also provides an explanation mechanism that traces every finding to the pertinent data. AVAILABILITY: GenePath can be accessed at http://genepath.org. SUPPLEMENTARY INFORMATION: Supplementary material is available at http://genepath.org/bi-.supp.
Blaz Zupan, Janez Demsar, Ivan Bratko, Peter Juvan, John A. Halter, Adam Kuspa, Gad Shaulsky
Bioinform.4