Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Niloofar Rabiei"'
Publikováno v:
Cell Journal, Vol 25, Iss 5, Pp 347-353 (2023)
Objective: In microarray datasets, hundreds and thousands of genes are measured in a small number of samples,and sometimes due to problems that occur during the experiment, the expression value of some genes is recorded asmissing. It is a difficult t
Externí odkaz:
https://doaj.org/article/e86bcde4f40d469486500725046975aa
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 22, Iss 1, Pp 1-12 (2022)
Abstract Background Due to the high mortality of COVID-19 patients, the use of a high-precision classification model of patient’s mortality that is also interpretable, could help reduce mortality and take appropriate action urgently. In this study,
Externí odkaz:
https://doaj.org/article/ccdfb4c3911048469f43f2cca542827d
Autor:
Ensiyeh Jenabi, Niloofar Rabiei, Mahdieh Seyedi, Mohammad Rezaei, Ali Reza Soltanian, Saeid Bashirian, Amir Mohammad Salehi
Publikováno v:
Advances in Autism. 9:192-200
Purpose This study aims to investigate the psychometric properties of the social communication questionnaire (SCQ) in Iran by identifying children with autism spectrum disorder (ASD) who had Persian-speaking parents. Design/methodology/approach A cas
BackgroundImputation is one of the strategies for dealing with Missing values (MVs) in microarray data. Employing the best subset of genes for imputation is very important. In this study, we used mutual information gene selection before imputation to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa3858886f5d94671c443cba9826e4b1
https://doi.org/10.21203/rs.3.rs-1354806/v1
https://doi.org/10.21203/rs.3.rs-1354806/v1
Autor:
Niloofar, Rabiei, Fatemeh, Bahreini, Mahnaz, Yavangi, Tayebeh, Artimani, Nooshin, Mohammadpour
Publikováno v:
Medical Journal of The Islamic Republic of Iran.
Publikováno v:
Computational Biology ISBN: 9780994438195
Researchers in biological sciences and genetics are faced with high-dimensional data, such as the microarray data, and the analysis and proper interpretation of these data are very important in bioinformatics and systems biological sciences. In such
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fcb9d38615e58ad58f20c8f5b34d3977
https://doi.org/10.15586/computationalbiology.2019.ch10
https://doi.org/10.15586/computationalbiology.2019.ch10