Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Hawlader Abdullah Al Mamun"'
Publikováno v:
Agriculture Communications, Vol 2, Iss 3, Pp 100049- (2024)
Brassica species, globally cultivated as economically important vegetable and oilseed crops, face challenges from pathogens impacting their growth and productivity. Among these, blackleg, caused by the fungal pathogen Leptosphaeria maculans, stands o
Externí odkaz:
https://doaj.org/article/1fc29a1932344e448b3a2dbc5ee14543
Epistatic interactions can play an important role in the genetic mechanisms that control phenotypic variation. However, identifying these interactions in high dimensional genomic data can be very challenging due to the large computational burden indu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f721e4dc0b912337299d35f81c0ea64
https://doi.org/10.1101/2022.04.26.488110
https://doi.org/10.1101/2022.04.26.488110
Autor:
M. A. Mottalib, Hawlader Abdullah Al-Mamun, Md. Akhter Hosen, Md. Saroer-E-Azam, Md. Sowgat Ibne Mahmud
Publikováno v:
2010 13th International Conference on Computer and Information Technology (ICCIT).
Multiple sequence alignment is one of the basic research areas in bioinformatics. In most cases while doing multiple sequence alignment, a totally unaligned set of sequences are used as an initial data. In this work, we have used Clustal X 2.0.11 pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42edec755af47b4785ed1d50ea308fe4
https://doi.org/10.1109/iccitechn.2010.5723819
https://doi.org/10.1109/iccitechn.2010.5723819
Publikováno v:
International Conference on Electrical & Computer Engineering (ICECE 2010).
Protein structural class prediction can play a vital role in protein 3-D structure prediction by reducing the search space of 3-D structure prediction algorithms. In this paper we used support vector machine to predict protein structural class solely
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94b1c6cc3287bfe1fdbabdb4a8133282
https://doi.org/10.1109/icelce.2010.5700657
https://doi.org/10.1109/icelce.2010.5700657
Autor:
M. A. Mottalib, A.B.M. Zunaid Haque, Md. Safiur Rahman Mahdi, S.M. Al Mamun, Hawlader Abdullah Al Mamun
Publikováno v:
2009 12th International Conference on Computers and Information Technology.
Neural network is one of the successful methods for protein secondary structure prediction. Day to day this technology is modified, improved, even other methods also combined with it to get better result. In this paper we trained feed-forward neural
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b08cce43fefbc8576853e0774c863dba
https://doi.org/10.1109/iccit.2009.5407307
https://doi.org/10.1109/iccit.2009.5407307
Publikováno v:
Pearl : A Journal of Library and Information Science. 1:54
A significant challenge in DNA (Deoxyribo Nucleic Acid) microarray analysis can be attributed to the problem of having a large number of features (genes) but with a small number of samples in the dataset. When applying statistical methods to analyse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::678275cabc316ca6415137a9085dc0f6
https://doi.org/10.5958/j.2249-3212.1.2.2
https://doi.org/10.5958/j.2249-3212.1.2.2