EventsMOL2NET'20, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 6th ed.
Event submissions
Published
with-doi10.3390/mol2net-06-08917 (registering DOI)
This submission belongs to the session 09. USEDAT-06: USA-Europe Data Analysis Training Program Workshop, Bilbao, Spain-Cambridge, UK-Miami, USA, 2020 of the event MOL2NET'20, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 6th ed.
Published date
09 Dec, 2020
Citation
Dr. Anuraj Nayarisseri, Isha Joshi, Machine learning, an impetus approach for molecular functional annotation in plants, in Proceedings of MOL2NET'20, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 6th ed., 30 January 2020–30 January 2021, MDPI: Basel, Switzerland, doi: 10.3390/mol2net-06-08917
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Machine learning, an impetus approach for molecular functional annotation in plants

Isha Joshi 1
image
Dr. Anuraj Nayarisseri 2,3
1. In silico Research Laboratory, Eminent Biosciences, 91, Sector-A, Mahalakshmi Nagar, Indore – 452010, Madhya Pradesh, India.
2. In silico Research Laboratory, Eminent Biosciences, 91, Sector-A, Mahalakshmi Nagar, Indore - 452010, Madhya Pradesh, India.
3. Bioinformatics Research Laboratory, LeGene Biosciences Pvt. Ltd. Indore - 452010, Mahdya Pradesh , India.
Abstract
Keywords
Machine Learning
Deep Learning
Plant annotation
Molecular Science
Interactome analysis