Zobrazeno 1 - 6
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pro vyhledávání: '"Saeid Azadifar"'
Autor:
Saeid Azadifar, Ali Ahmadi
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-25 (2022)
Abstract Background Selecting and prioritizing candidate disease genes is necessary before conducting laboratory studies as identifying disease genes from a large number of candidate genes using laboratory methods, is a very costly and time-consuming
Externí odkaz:
https://doaj.org/article/fb3da7655f82454f96abe40a837e6b10
Autor:
Saeid Azadifar, Ali Ahmadi
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-16 (2021)
Abstract Background Gene expression data play an important role in bioinformatics applications. Although there may be a large number of features in such data, they mainly tend to contain only a few samples. This can negatively impact the performance
Externí odkaz:
https://doaj.org/article/4f6d1f5c1a824aa78b4cbd82b91abf86
Publikováno v:
Computers in biology and medicine. 147
Nowadays, microarray data processing is one of the most important applications in molecular biology for cancer diagnosis. A major task in microarray data processing is gene selection, which aims to find a subset of genes with the least inner similari
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6abbc43f07684cc2c4d7936cd72c82c
https://pubmed.ncbi.nlm.nih.gov/35779479
https://pubmed.ncbi.nlm.nih.gov/35779479
Autor:
Ali Ahmadi, Saeid Azadifar
Publikováno v:
BMC Medical Informatics and Decision Making
BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-16 (2021)
BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-16 (2021)
Background Gene expression data play an important role in bioinformatics applications. Although there may be a large number of features in such data, they mainly tend to contain only a few samples. This can negatively impact the performance of data m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15dc07ab51828dd97479823c08f8ef65
https://pubmed.ncbi.nlm.nih.gov/34838034
https://pubmed.ncbi.nlm.nih.gov/34838034
Autor:
Saeid Azadifar, Ali Ahmadi
Publikováno v:
CSICC
Identifying disease genes from a large number of candidate genes by laboratory methods is very costly and time consuming, so it is necessary to prioritize disease candidate genes before laboratory work. Recently, many gene prioritization methods have
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d023f5a3d00cfd3e34c317e6ccd3ae2e
https://doi.org/10.1109/csicc52343.2021.9420628
https://doi.org/10.1109/csicc52343.2021.9420628
Publikováno v:
2015 7th Conference on Information and Knowledge Technology (IKT).
Feature selection is an important preprocessing step in machine learning and pattern recognition where in the former it is aimed at removing some irrelevant and/or redundant features from a given dataset. In this paper, a new graph theoretic based fe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94a219896631527621c196413c140652
https://doi.org/10.1109/ikt.2015.7288784
https://doi.org/10.1109/ikt.2015.7288784