Zobrazeno 1 - 10
of 40
pro vyhledávání: '"G.R. Brindha"'
Publikováno v:
Fundamentals and Methods of Machine and Deep Learning. :121-134
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::abbb707c25218b54425a3fe8ffaef6d3
https://doi.org/10.1002/9781119821908.ch5
https://doi.org/10.1002/9781119821908.ch5
Autor:
Bijimalla Shiva Vamshi Krishna, B.S. Rishiikeshwer, J. Sanjay Raju, N. Bharathi, C. Venkatasubramanian, G.R. Brindha
Publikováno v:
Fundamentals and Methods of Machine and Deep Learning. :311-325
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ab3606d1992d85fd0d036a00322f139
https://doi.org/10.1002/9781119821908.ch13
https://doi.org/10.1002/9781119821908.ch13
Publikováno v:
Journal of Computer Science. 16:158-166
In farming, crops are prone to a wide variety of diseases. The impact of sudden climatic change has adverse effects on their growth, providing incubation to harmful viruses and bacteria. Diseases to crops imply a significant negative impact on health
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59753206c221c987fd01afd6c454b11f
https://doi.org/10.3844/jcssp.2020.158.166
https://doi.org/10.3844/jcssp.2020.158.166
Publikováno v:
Journal of Computer Science. 16:211-216
Datasets may have large number of features which makes it hard and time consuming to classify. Additionally, they may have irrelevant and noise features too with missing values. The missing values should be treated in a proper way so that the classif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ef04b07dd1eb4af7703d646a3f30c52
https://doi.org/10.3844/jcssp.2020.211.216
https://doi.org/10.3844/jcssp.2020.211.216
Autor:
M. Sudharsan, N. Rajendra Prasad, G. Kanimozhi, B.S. Rishiikeshwer, G.R. Brindha, Anindita Chakraborty
Publikováno v:
Microbiological research. 261
The gram-positive bacterium Deinococcus radiodurans can survive under extreme ionizing radiation environment. This study aims to rationalize the role of redox balance, antioxidant status, and metabolite content on the radiation survival of D. radiodu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d74b199fe9c09933c5caf6d26104570a
https://pubmed.ncbi.nlm.nih.gov/35623162
https://pubmed.ncbi.nlm.nih.gov/35623162
Autor:
Govindasamy Kanimozhi, B. Santhi, Beaulah Mary Robert, Nagarajan Rajendra Prasad, G.R. Brindha
Publikováno v:
Computer Methods and Programs in Biomedicine. 178:105-112
Background and objectives The computational prediction of drug responses based on the analysis of multiple clinical features of the tumor will be a novel strategy for accomplishing the long-term goal of precision medicine in oncology. The cancer pati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::086c331e9e8f2144dc488dbe8f3724e3
https://doi.org/10.1016/j.cmpb.2019.06.011
https://doi.org/10.1016/j.cmpb.2019.06.011
Autor:
B. Santhi, G.R. Brindha
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 36:1431-1441
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::385e860ab6216a8f4bb93ffc0a6e37af
https://doi.org/10.3233/jifs-181009
https://doi.org/10.3233/jifs-181009
Phytochemicals reverse P-glycoprotein mediated multidrug resistance via signal transduction pathways
Autor:
Aishah Ekhzaimy, Abdullah S. Alhomida, B. Pradhapsingh, G. Kanimozhi, N. Rajendra Prasad, Haseeb A. Khan, G.R. Brindha, M. Ganesan
Publikováno v:
Biomedicine & Pharmacotherapy, Vol 139, Iss, Pp 111632-(2021)
P-glycoprotein, encoded by ATP-binding cassette transporters B1 gene (ABCB1), renders multidrug resistance (MDR) during cancer chemotherapy. Several synthetic small molecule inhibitors affect P-glycoprotein (P-gp) transport function in MDR tumor cell
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4dcf152a9bee5c1e1b480ad00694810
https://pubmed.ncbi.nlm.nih.gov/34243600
https://pubmed.ncbi.nlm.nih.gov/34243600
Publikováno v:
Clinical Cancer Research. 27:PO-064
Oral squamous cell carcinoma (OSCC) patients respond poorly to chemotherapy. Predicting anticancer drug response before the treatment of OSCC is a significant challenge. Recently, gene expression profiling and cell-based assays reveals drug sensitivi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e5d444214f73301c1abaa08eaf388b02
https://doi.org/10.1158/1557-3265.adi21-po-064
https://doi.org/10.1158/1557-3265.adi21-po-064
Publikováno v:
Computer Methods and Programs in Biomedicine. 186:105218
In this paper, a mathematical model of nonlinear reaction-diffusion equation with Michaelis–Menten kinetics in a solid of planar and spherical shape is discussed. The proposed model is based on non-stationary diffusion equation containing a non-lin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::626fc67a2315bf79542f480866af5723
https://doi.org/10.1016/j.cmpb.2019.105218
https://doi.org/10.1016/j.cmpb.2019.105218