Mahashweta Basu | Author | SciTechnol | Journal of Applied Bioin

Mahashweta Basu Author

mahashwetabasu@gmail.com

Subjects of specialization
Transitions Network, Gene Regulation, Statistical Physics, Statistical Mechanics, Condensed Matter Theory Thermodynamics

Affiliation
Center for Bioinformatics and Computational Biology, University of Maryland, College Park, Maryland 20742, USA

Biography

Mahashweta Basu is currently working as Research Associate in Center for Bioinformatics and Computational Biology at University of Maryland, College Park. Her interests include application of various machine learning, statistical and computational methods to genomic and genetic variant data to understand the synergy between regulatory mechanisms and genetic component of complex diseases.

Publications

Research Article Open Access

Communities of Dense Weighted Networks

Author(s):

Mahashweta Basu

Complex networks are intrinsically modular. Resolving small modules is particularly difficult when the network is densely connected; wide variation of link-weights invites additional complexities. In this article we present an algorithm to detect community structure in densely connected weighted networks. First, modularity of the network is calculated by erasing the links having weights smaller than a cutoff q. Then one takes all the disjoint components obtained at q=qm, where the modularity is maximum, and modularize the components individually using Newman Girvan’s algorithm for weighted networks. The performance of the proposed algorithm is evaluated on four different types of network. Initially taking microRNA (miRNA) co-target network of Homo sapiens as an example, we show th... view more»

DOI: 10.4172/2329-9533.1000152

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