Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Surama Biswas"'
Publikováno v:
iScience, Vol 24, Iss 3, Pp 102131- (2021)
Summary: Gene regulatory networks (GRNs) process important information in developmental biology and biomedicine. A key knowledge gap concerns how their responses change over time. Hypothesizing long-term changes of dynamics induced by transient prior
Externí odkaz:
https://doaj.org/article/b5c2c96b7f374e3b9923d414f9baaece
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
https://doi.org/10.1109/tcbb.2020.2992304
Publikováno v:
International Journal of Molecular Sciences; Volume 24; Issue 1; Pages: 285
Trainability, in any substrate, refers to the ability to change future behavior based on past experiences. An understanding of such capacity within biological cells and tissues would enable a particularly powerful set of methods for prediction and co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e256ee29f27c41429fd5892dc4d656c
https://pubmed.ncbi.nlm.nih.gov/36613729
https://pubmed.ncbi.nlm.nih.gov/36613729
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
https://doi.org/10.1080/03772063.2021.1946433
Publikováno v:
iScience, Vol 24, Iss 3, Pp 102131-(2021)
iScience
iScience
Summary Gene regulatory networks (GRNs) process important information in developmental biology and biomedicine. A key knowledge gap concerns how their responses change over time. Hypothesizing long-term changes of dynamics induced by transient prior
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::782189eb27d7f8074f80c2919626d71c
https://pubmed.ncbi.nlm.nih.gov/33748699
https://pubmed.ncbi.nlm.nih.gov/33748699
Autor:
Sriyankar Acharyya, Surama Biswas
Publikováno v:
IEEE/ACM Transactions on Computational Biology and Bioinformatics. 15:2053-2059
Gene Regulatory Network (GRN) is a virtual network in a cellular context of an organism, comprising a set of genes and their internal relationships to regulate protein production rate (gene expression level) of each other through coded proteins. Comp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77a0d74570a9dbee64fe0911a22623af
https://doi.org/10.1109/tcbb.2017.2771360
https://doi.org/10.1109/tcbb.2017.2771360
Autor:
Surama Biswas, Sriyankar Acharyya
Publikováno v:
CSI Transactions on ICT. 5:3-8
Identification of the genes responsible for a disease by mining gene expression data is called gene selection problem. Here, gene selection is applied to a gene expression dataset containing disease affected samples (here, a set of expression levels
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::625c7b47ad60494a81856068cfa56531
https://doi.org/10.1007/s40012-016-0131-y
https://doi.org/10.1007/s40012-016-0131-y
Autor:
Sriyankar Acharyya, Surama Biswas
Publikováno v:
Theory in Biosciences. 135:1-19
Gene regulatory network (GRN) is produced as a result of regulatory interactions between different genes through their coded proteins in cellular context. Having immense importance in disease detection and drug finding, GRN has been modelled through
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8eb8023b02bc8c853af180b8c73e3d6
https://doi.org/10.1007/s12064-016-0224-z
https://doi.org/10.1007/s12064-016-0224-z
Publikováno v:
Interdisciplinary sciences, computational life sciences. 11(3)
Identifying a small subset of disease critical genes out of a large size of microarray gene expression data is a challenge in computational life sciences. This paper has applied four meta-heuristic algorithms, namely, honey bee mating optimization (H
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f00f915d84fdaebaffb6acab2c61cf0e
https://pubmed.ncbi.nlm.nih.gov/29196984
https://pubmed.ncbi.nlm.nih.gov/29196984
Publikováno v:
2016 IEEE 6th International Conference on Advanced Computing (IACC).
Advent in microarray technology enables the researchers of computational biology to apply various bioinformatics paradigms on gene expression data. But microarray gene expression data, obtained as a matrix has much larger number of genes as rows than
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d95a28d3dc0122dafc8ece5ca1b12c66
https://doi.org/10.1109/iacc.2016.55
https://doi.org/10.1109/iacc.2016.55