Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Shubhra Sankar Ray"'
Publikováno v:
Network Modeling Analysis in Health Informatics and Bioinformatics. 12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bebc274a9b7edf633754eb623b709d26
https://doi.org/10.1007/s13721-022-00398-8
https://doi.org/10.1007/s13721-022-00398-8
Autor:
Shubhra Sankar Ray, Sampa Misra
Publikováno v:
Computers in Biology and Medicine. 104:149-162
A method, named genetic algorithm for assigning weights to gene expressions using functional annotations (GAAWGEFA), is developed to assign proper weights to the gene expressions at each time point. The weights are estimated using functional annotati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e844cbd0b0c0385cbee668d52ecacb10
https://doi.org/10.1016/j.compbiomed.2018.11.011
https://doi.org/10.1016/j.compbiomed.2018.11.011
This book constitutes the refereed proceedings of the 9th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2021, held in December 2021. Due to COVID-19 pandemic the conference was held virtually. The 62 full papers incl
Publikováno v:
SN Computer Science. 2
A decision theoretic rough set-based neighborhood selection process is developed for self-organizing maps. While the neighborhood of the winner neuron is selected based on the probability of its associativity to the winner neuron, the selected neighb
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::928156a224a49c3f9deb5035b4ba7257
https://doi.org/10.1007/s42979-021-00490-2
https://doi.org/10.1007/s42979-021-00490-2
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23ce99e6861e14668d06a636dbdc9b62
https://doi.org/10.2139/ssrn.3981433
https://doi.org/10.2139/ssrn.3981433
Publikováno v:
IEEE/ACM Transactions on Computational Biology and Bioinformatics. 15:659-672
MicroRNAs (miRNAs) are known as an important indicator of cancers. The presence of cancer can be detected by identifying the responsible miRNAs. A fuzzy-rough entropy measure (FREM) is developed which can rank the miRNAs and thereby identify the rele
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f3c7bbc9c9a6e307f70821f1e4886ae
https://doi.org/10.1109/tcbb.2016.2623605
https://doi.org/10.1109/tcbb.2016.2623605
Publikováno v:
Computers in Biology and Medicine. 89:540-548
MicroRNAs (miRNA) are one of the important regulators of cell division and also responsible for cancer development. Among the discovered miRNAs, not all are important for cancer detection. In this regard a fuzzy mutual information (FMI) based groupin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05485dde159588d2e0b0e1d9ca8a0e99
https://doi.org/10.1016/j.compbiomed.2017.08.013
https://doi.org/10.1016/j.compbiomed.2017.08.013
Publikováno v:
IEEE/ACM transactions on computational biology and bioinformatics. 18(3)
MicroRNAs play an important role in controlling drug sensitivity and resistance in cancer. Identification of responsible miRNAs for drug resistance can enhance the effectiveness of treatment. A new set theoretic entropy measure (SPEM) is defined to d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9578d5818f8698af877950b8d91e807
https://pubmed.ncbi.nlm.nih.gov/31398129
https://pubmed.ncbi.nlm.nih.gov/31398129
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 27:1890-1906
A new granular self-organizing map (GSOM) is developed by integrating the concept of a fuzzy rough set with the SOM. While training the GSOM, the weights of a winning neuron and the neighborhood neurons are updated through a modified learning procedu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d25b65b9a9eb16cf57b6e99f9e636f85
https://doi.org/10.1109/tnnls.2015.2460994
https://doi.org/10.1109/tnnls.2015.2460994
Publikováno v:
Medical & Biological Engineering & Computing. 54:701-710
MicroRNAs (miRNAs) act as a major biomarker of cancer. All miRNAs in human body are not equally important for cancer identification. We propose a methodology, called FMIMS, which automatically selects the most relevant miRNAs for a particular type of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c78fa66ad9e3927048fb557ca58e224
https://doi.org/10.1007/s11517-015-1360-1
https://doi.org/10.1007/s11517-015-1360-1