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Sunil Nagpal

dblp:290/8972 · DBLP profile ↗
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2ranked-venue papers
2as first author
2since 2021 · last 2026
0000-0001-9221-1443ORCID · corroborated

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

Applied, interdisciplinary, general and emerging computing · 2 · 2 first-author · 2 since 2021

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%
Computer graphics and multimedia
1 paper
Visualization and visual analytics · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › network bioinformatics
biological network analysis
0.512021
NetSets.js: a JavaScript framework for compositional assessment and comparison of biological networks through Venn-integrated network diagrams · Bioinform. 2021
Bioinformatics and computational biology › network bioinformatics › biological network analysis
network comparison
0.512021
NetSets.js: a JavaScript framework for compositional assessment and comparison of biological networks through Venn-integrated network diagrams · Bioinform. 2021
Visualization and visual analytics › biological data visualization
biological network visualization
0.512021
NetSets.js: a JavaScript framework for compositional assessment and comparison of biological networks through Venn-integrated network diagrams · Bioinform. 2021

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

javascript framework · 1.0
YearPublicationVenuePosition
2026 Supervisory signals are intriguingly high in even simple features for predicting anticancer effect of antibody drug conjugates
Sunil Nagpal
Briefings Bioinform.1
2021 NetSets.js: a JavaScript framework for compositional assessment and comparison of biological networks through Venn-integrated network diagrams
abstract
MOTIVATION: Venn diagrams are frequently used to compare composition of datasets (e.g. datasets containing list of proteins and genes). Network diagram constructed using such datasets are usually generated using 'list of edges', popularly known as edge-lists. An edge-list and the corresponding generated network are, however, composed of two elements, namely, edges (e.g. protein-protein interactions) and nodes (e.g. proteins). Researchers often use individual lists of edges and nodes to compare composition of biological networks using existing Venn diagram tools. However, specialized analysis workflows are required for comparison of nodes as well as edges. Apart from this, different tools or graph libraries are needed for visualizing any specific edges of interest (e.g. protein-protein interactions which are present across all networks or are shared between subset of networks or are exclusively present in a selected network). Further, these results are required to be exported in the form of publication worthy network diagram(s), particularly for small networks. RESULTS: We introduce a (server independent) JavaScript framework (called NetSets.js) that integrates popular Venn and network diagrams in a single application. A free to use intuitive web application (utilizing NetSets.js), specifically designed to perform both compositional comparisons (e.g. for identifying common/exclusive edges or nodes) and interactive user defined visualizations of network (for the identified common/exclusive interactions across multiple networks) using simple edge-lists is also presented. The tool also enables connection to Cytoscape desktop application using the Netsets-Cyapp. We demonstrate the utility of our tool using real world biological networks (microbiome, gene interaction, multiplex and protein-protein interaction networks). AVAILABILITYAND IMPLEMENTATION: http://web.rniapps.net/netsets (freely available for academic use). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Sunil Nagpal, Bhusan K. Kuntal, Sharmila S. Mande
Bioinform.1