NDLI: ZoomOut: Analyzing Multiple Networks as Single Nodes

Content Provider	IEEE Xplore Digital Library
Author	Athanasiadis, E.I. Bourdakou, M.M. Spyrou, G.M.
Copyright Year	2004
Abstract	We have developed ZoomOut web server in order to provide the research community with a tool for analysis, visualization and clustering of networks as a super network, based on their calculated feature properties. Networks can be analysed and be further treated as single nodes in a super network that describe their relations. Specifically, the user interface is divided into three main sections: the Workspace, the Networks Feature Calculations and the Clustering Networks section. In the Workspace section, users are able to upload and manage multiple networks for further processing. In the Networks Feature Calculations section, a variety of network properties are calculated as features for each uploaded network. In the Clustering Networks section, users are able to apply clustering by selecting from the list of previously calculated features. All processed networks can also be visualized as a super interactive network, were interconnections among networks are based on the calculated clustering distances. To the best of our knowledge, this is the first available web-service that allows users to manage, quantify and visualize multiple networks at the same time, handling them as parts of a larger network with properties calculated in an upper scale. The ZoomOut web-application is available at http://bioserver-3.bioacademy. gr/Bioserver/ZoomOut.
Sponsorship	IEEE Computer Society
Starting Page	1213
Ending Page	1216
Page Count	4
File Size	400938
File Format	PDF
ISSN	15455963
Volume Number	12
Issue Number	5
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Bioinformatics Computational biology Breast cancer Data visualization Proteins Graphs and networks Clustering classification association rules Data and knowledge visualization Feature extraction or construction Graphs and networks. classification and association rules
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Genetics Biotechnology

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Fuzzy-Adaptive-Subspace-Iteration-Based Two-Way Clustering of Microarray Data

Investigating the Efficacy of Nonlinear Dimensionality Reduction Schemes in Classifying Gene and Protein Expression Studies

A Trade-Off between Sample Complexity and Computational Complexity in Learning Boolean Networks from Time-Series Data

On Position-Specific Scoring Matrix for Protein Function Prediction

Multiobjective Optimization in Bioinformatics and Computational Biology

Identifying Relevant Data for a Biological Database: Handcrafted Rules versus Machine Learning

Personalized Email Prioritization Based on Content and Social Network Analysis

C-TREND: Temporal Cluster Graphs for Identifying and Visualizing Trends in Multiattribute Transactional Data

Subcellular Localization Prediction through Boosting Association Rules

ZoomOut: Analyzing Multiple Networks as Single Nodes

Similar Documents

Fuzzy-Adaptive-Subspace-Iteration-Based Two-Way Clustering of Microarray Data

Investigating the Efficacy of Nonlinear Dimensionality Reduction Schemes in Classifying Gene and Protein Expression Studies

A Trade-Off between Sample Complexity and Computational Complexity in Learning Boolean Networks from Time-Series Data

On Position-Specific Scoring Matrix for Protein Function Prediction

Multiobjective Optimization in Bioinformatics and Computational Biology

Identifying Relevant Data for a Biological Database: Handcrafted Rules versus Machine Learning

Personalized Email Prioritization Based on Content and Social Network Analysis

C-TREND: Temporal Cluster Graphs for Identifying and Visualizing Trends in Multiattribute Transactional Data

Subcellular Localization Prediction through Boosting Association Rules

ZoomOut: Analyzing Multiple Networks as Single Nodes