A
Allan Kuchinsky
Researcher at Agilent Technologies
Publications - 59
Citations - 6850
Allan Kuchinsky is an academic researcher from Agilent Technologies. The author has contributed to research in topics: Biological data & Biological network. The author has an hindex of 27, co-authored 59 publications receiving 6469 citations. Previous affiliations of Allan Kuchinsky include University of Texas Health Science Center at Houston & Hewlett-Packard.
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Journal ArticleDOI
Integration of biological networks and gene expression data using Cytoscape
Melissa S. Cline,Michael E. Smoot,Ethan Cerami,Allan Kuchinsky,Nerius Landys,Christopher T. Workman,Rowan H. Christmas,Iliana Avila-Campilo,Iliana Avila-Campilo,Michael L. Creech,Benjamin Gross,Kristina Hanspers,Ruth Isserlin,Ryan Kelley,Sarah Killcoyne,Samad Lotia,Steven Maere,John H. Morris,Keiichiro Ono,Vuk Pavlovic,Alexander R. Pico,Aditya Vailaya,Peng-Liang Wang,Annette M. Adler,Bruce R. Conklin,Leroy Hood,Martin Kuiper,Chris Sander,Ilya Schmulevich,Benno Schwikowski,Guy J. Warner,Trey Ideker,Gary D. Bader +32 more
TL;DR: This protocol explains how to use Cytoscape to analyze the results of mRNA expression profiling, and other functional genomics and proteomics experiments, in the context of an interaction network obtained for genes of interest.
Proceedings ArticleDOI
Guidelines for using multiple views in information visualization
TL;DR: Based on a workshop discussion of multiple views, and based on the authors' own design and implementation experience with these systems, eight guidelines for the design of multiple view systems are presented.
Proceedings ArticleDOI
Requirements for photoware
TL;DR: From an analysis of the resulting materials, the strengths and weaknesses of past and present technology for photo sharing are illustrated to prioritise user requirements for a range of future photo-sharing technologies or 'photoware'.
Journal ArticleDOI
Integrating user-perceived quality into Web server design
TL;DR: This paper presents experiments designed to estimate users' tolerance of QoS in the context of e-commerce and discusses contextual factors that influence these thresholds and shows how users' conceptual models of Web tasks affect their expectations.
Proceedings ArticleDOI
Quality is in the eye of the beholder: meeting users' requirements for Internet quality of service
TL;DR: It is shown that, while users' perceptions of World Wide Web QoS are influenced by a number of contextual factors, it is possible to correlate objective measures of QoS with subjective judgements made by users, and therefore influence system design.