GIpred: a computational tool for prediction of GIGANTEA proteins using machine learning algorithm-Reference-Cited by-同舟云学术

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GIpred: a computational tool for prediction of GIGANTEA proteins using machine learning algorithm

Published:2022-01 Issue:1 Volume:28 Page:1-16
ISSN:0971-5894
Container-title:Physiology and Molecular Biology of Plants
language:en
Short-container-title:Physiol Mol Biol Plants

Author:

Meher Prabina Kumar^ORCID,Dash Sagarika,Sahu Tanmaya Kumar,Satpathy Subhrajit,Pradhan Sukanta Kumar

Funder

Indian Council of Agricultural Research

Publisher

Springer Science and Business Media LLC

Subject

Plant Science,Molecular Biology,Physiology

Link

https://link.springer.com/content/pdf/10.1007/s12298-022-01130-6.pdf

Reference93 articles.

1. Abe M, Fujiwara M, Kurotani K-I et al (2008) Identification of dynamin as an interactor of rice GIGANTEA by tandem affinity purification (TAP). Plant Cell Physiol 49:420–432. https://doi.org/10.1093/pcp/pcn019

2. Aha DW, Kibler D, Albert MK (1991) Instance-based learning algorithms. Mach Learn 6:37–66. https://doi.org/10.1023/A:1022689900470

3. Ali F, Hayat M (2015) Classification of membrane protein types using voting feature interval in combination with Chou’s pseudo amino acid composition. J Theor Biol 384:78–83. https://doi.org/10.1016/j.jtbi.2015.07.034

4. Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ (1990) Basic local alignment search tool. J Mol Biol 215(3):403–410. https://doi.org/10.1016/S0022-2836(05)80360-2

5. Baldi P, Brunak S (2001) Bioinformatics: the machine learning approach. MIT Press, Cambridge, p 452

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