A model to predict the function of hypothetical proteins through a nine-point classification scoring schema

A model to predict the function of hypothetical proteins through a nine-point classification scoring schema

Abstract Background Hypothetical proteins [HP] are those that are predicted to be expressed in an organism, but no evidence of their existence is known. In the recent past, annotation and curation efforts have helped overcome the challenge in understanding their diverse functions. Techniques to deci...

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Bibliographic Details
Main Authors: Johny Ijaq, Girik Malik, Anuj Kumar, Partha Sarathi Das, Narendra Meena, Neeraja Bethi, Vijayaraghava Seshadri Sundararajan, Prashanth Suravajhala
Format: Article
Language:English
Published: BMC 2019-01-01
Series:BMC Bioinformatics
Subjects:
Hypothetical proteins
Machine learning
Classification features
Functional genomics
Online Access:http://link.springer.com/article/10.1186/s12859-018-2554-y

Internet

http://link.springer.com/article/10.1186/s12859-018-2554-y

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