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Gökhan Yavas

dblp:36/3174 · DBLP profile ↗
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4ranked-venue papers
1as first author
0since 2021 · last 2009
—ORCID · none

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

Artificial intelligence and machine learning · 2 · 1 first-authorDatabases, data management, data science and information retrieval · 2 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 2

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 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › biological database
pathway database
0.112008
PathCase: pathways database system · Bioinform. 2008
Bioinformatics and computational biology › systems bioinformatics › pathway analysis
pathway visualization
0.112008
PathCase: pathways database system · Bioinform. 2008

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

web-based querying · 0.1client-server architecture · 0.1
YearPublicationVenuePosition
2009 Corrigendum for Elliott, B. et al., 'PathCase pathways database system', Bioinformatics 2008, 24(21) 2526-2533
abstract
Brendan Elliott, Mustafa Kirac, Ali Cakmak 0001, Gökhan Yavas, Stephen Mayes, En Cheng, Gultekin Özsoyoglu, Z. Meral Özsoyoglu
Bioinform.4
2008 PathCase: pathways database system
abstract
MOTIVATION: As the blueprints of cellular actions, biological pathways characterize the roles of genomic entities in various cellular mechanisms, and as such, their availability, manipulation and queriability over the web is important to facilitate ongoing biological research. RESULTS: In this article, we present the new features of PathCase, a system to store, query, visualize and analyze metabolic pathways at different levels of genetic, molecular, biochemical and organismal detail. The new features include: (i) a web-based system with a new architecture, containing a server-side and a client-side, and promoting scalability, and flexible and easy adaptation of different pathway databases, (ii) an interactive client-side visualization tool for metabolic pathways, with powerful visualization capabilities, and with integrated gene and organism viewers, (iii) two distinct querying capabilities: an advanced querying interface for computer savvy users, and built-in queries for ease of use, that can be issued directly from pathway visualizations and (iv) a pathway functionality analysis tool. PathCase is now available for three different datasets, namely, KEGG pathways data, sample pathways from the literature and BioCyc pathways for humans. AVAILABILITY: Available online at http://nashua.case.edu/pathways
Brendan Elliott, Mustafa Kirac, Ali Cakmak 0001, Gökhan Yavas, Stephen Mayes, En Cheng, Gultekin Özsoyoglu, Z. Meral Özsoyoglu
Bioinform.4
2005 A data mining approach for location prediction in mobile environments
Gökhan Yavas, Dimitrios Katsaros 0001, Özgür Ulusoy, Yannis Manolopoulos
Data Knowl. Eng.1
2003 Clustering Mobile Trajectories for Resource Allocation in Mobile Environments
Dimitrios Katsaros 0001, Alexandros Nanopoulos, Murat Karakaya, Gökhan Yavas, Özgür Ulusoy, Yannis Manolopoulos
IDA4