Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Sudipta Acharya"'
Publikováno v:
BMC Bioinformatics, Vol 21, Iss S18, Pp 1-31 (2020)
Abstract Background In recent years, to investigate challenging bioinformatics problems, the utilization of multiple genomic and proteomic sources has become immensely popular among researchers. One such issue is feature or gene selection and identif
Externí odkaz:
https://doaj.org/article/f5523fa95d6348448918c4b43c4b958f
Publikováno v:
BMC Bioinformatics, Vol 21, Iss S13, Pp 1-16 (2020)
Abstract Background In the field of computational biology, analyzing complex data helps to extract relevant biological information. Sample classification of gene expression data is one such popular bio-data analysis technique. However, the presence o
Externí odkaz:
https://doaj.org/article/5f01119c16854aab8145b11aad7b2d96
Publikováno v:
BMC Bioinformatics, Vol 18, Iss 1, Pp 1-13 (2017)
Abstract Background Classification of biological samples of gene expression data is a basic building block in solving several problems in the field of bioinformatics like cancer and other disease diagnosis and making a proper treatment plan. One big
Externí odkaz:
https://doaj.org/article/5fc8634695b649e5ace972b6a9daaa64
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 34:4371-4384
In the era of big data, data analysis of high-dimensional data-sets often suffers from Curse-of-dimensionality. In the current article, we propose a dimensionality-reduction method through feature selection from high-dimensional gene expression (GE)
Publikováno v:
Digital Threats: Research and Practice.
Reverse engineering is the process of understanding the inner working of a software system without having the source code. It is critical for firmware security validation, software vulnerability research, and malware analysis. However, it often requi
Publikováno v:
Gene. 679:341-351
In recent years DNA microarray technology, leading to the generation of high-volume biological data, has gained significant attention. To analyze this high volume gene-expression data, one such powerful tool is Clustering. For any clustering algorith
Publikováno v:
BMC Bioinformatics
BMC Bioinformatics, Vol 21, Iss S18, Pp 1-31 (2020)
BMC Bioinformatics, Vol 21, Iss S18, Pp 1-31 (2020)
BackgroundIn recent years, to investigate challenging bioinformatics problems, the utilization of multiple genomic and proteomic sources has become immensely popular among researchers. One such issue is feature or gene selection and identifying relev
Publikováno v:
BMC Bioinformatics, Vol 21, Iss S13, Pp 1-16 (2020)
BMC Bioinformatics
BMC Bioinformatics
BackgroundIn the field of computational biology, analyzing complex data helps to extract relevant biological information. Sample classification of gene expression data is one such popular bio-data analysis technique. However, the presence of a large
Publikováno v:
IEEE/ACM transactions on computational biology and bioinformatics. 19(1)
An exhaustive literature survey shows that finding protein/gene similarity is an important step towards solving widespread bioinformatics problems, such as predicting protein-protein interactions, analyzing Protein-Protein Interaction Networks (PPINs
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 22:1684-1690
MicroRNAs (miRNAs) are a type of RNAs, which are responsible for monitoring the gene expression values. Recent research asserts that miRNAs form some clustering on chromosomes. The miRNAs belonging to a particular cluster are highly similar in terms