Zobrazeno 1 - 10 of 45 pro vyhledávání: '"Sriyankar Acharyya"'
2
Multi-objective Simulated Annealing Variants to Infer Gene Regulatory Network: A Comparative Study
Autor: Surama Biswas, Sriyankar Acharyya
Publikováno v: IEEE/ACM Transactions on Computational Biology and Bioinformatics. 18:2612-2623
Gene Regulatory Network (GRN) is formed due to mutual transcriptional regulation within a set of protein coding genes in cellular context of an organism. Computational inference of GRN is important to understand the behavior of each gene in terms of
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95d24ec0dca2d03d8beaeaf3326e69fd
https://doi.org/10.1109/tcbb.2020.2992304
Zobrazit plný text záznamu
4
Application of Meta-Heuristics on Reconstructing Gene Regulatory Network: A Bayesian Model Approach
Autor: Sriyankar Acharyya, Surama Biswas, Suman K. Mitra
Publikováno v: IETE Journal of Research. :1-12
Reconstruction of the Gene Regulatory Network (GRN) is important in understanding the functionalities of a living cell. The reconstruction of GRN is based on microarray gene expression data. In thi...
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::dbb215ce53f2c415fb4d5e2747ae628c
https://doi.org/10.1080/03772063.2021.1946433
Zobrazit plný text záznamu
8
Repository and Mutation based Particle Swarm Optimization (RMPSO): A new PSO variant applied to reconstruction of Gene Regulatory Network
Autor: Sriyankar Acharyya, Biswajit Jana, Suman K. Mitra
Publikováno v: Applied Soft Computing. 74:330-355
Particle Swarm Optimization (PSO) is a meta-heuristic approach based on swarm intelligence, which is inspired by the social behaviour of bird flocking or fish schooling. The main disadvantage of the basic PSO is that it suffers from premature converg
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1f1d438e27d08d313d27d1ea7f6c9869
https://doi.org/10.1016/j.asoc.2018.09.027
Zobrazit plný text záznamu
9
Identification of Disease Critical Genes in Preeclampsia Using Squirrel Search Algorithm
Autor: Sriyankar Acharyya, Biswajit Jana, Mohitesh Ch Agarwal
Publikováno v: Advances in Intelligent Systems and Computing ISBN: 9789811599262
The rise in microarray technology motivates researchers of computational biology to apply various computational methods on biological data. Identification of a subset of disease-causing critical genes out of a large set of microarray gene expression
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1e6055f1a13e9269fc33aa313ca57e83
https://doi.org/10.1007/978-981-15-9927-9_29
Zobrazit plný text záznamu
10
Random walk elephant swarm water search algorithm for identifying order-preserving submatrices in gene expression data: a new approach using elephant swarm water search algorithm
Autor: Joy Adhikary, Sriyankar Acharyya
This research proposes a new variant of Elephant Swarm Water Search Algorithm (ESWSA), namely, Random Walk Elephant Swarm Water Search Algorithm (RW-ESWSA) to find order-preserving submatrices (OPSM) from gene expression data sets expressed in a matr
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::664d37f6c260602b561461087db3e715
https://doi.org/10.1016/b978-0-12-822844-9.00037-2
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje