MATria: a unified centrality algorithm

Journal article

Open access

Peer reviewed

Trevor Cickovski, Vanessa Aguiar-Pulido and Giri Narasimhan

BMC bioinformatics, Vol.20(Suppl 11), pp.278-278

2019-06-06

PMCID: PMC6551236

PMID: 31167635

Abstract

Centrality

Graphics Processing Unit (GPU)

Iteration

Methodology

Networks

url

https://doi.org/10.1186/s12859-019-2820-7View

Published (Version of record) Open

7 Record Views

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types: Domestic collaboration
Citation topics: 1 Clinical & Life Sciences; 1.54 Molecular & Cell Biology - Genetics; 1.54.79 Gene Expression Data
Web Of Science research areas: Biochemical Research Methods; Biotechnology & Applied Microbiology; Mathematical & Computational Biology
ESI research areas: Computer Science

This output has contributed to the advancement of the following goals:

Source: InCites

Title: MATria: a unified centrality algorithm
Creators: Trevor Cickovski - Florida International University
Vanessa Aguiar-Pulido - Center for Neurogenetics, New York, USA
Giri Narasimhan - Florida International University
Publication Details: BMC bioinformatics, Vol.20(Suppl 11), pp.278-278
Publisher: BioMed Central
Academic Unit: College of A&S; A&S - Computer Science
Language: English
Resource Type: Journal article
PMID: 31167635
PMCID: PMC6551236
Record Identifier: 991031714263102976