Using Machine Learning for Predicting the Effect of Mutations in the Initiation Codon-Reference-Cited by-同舟云学术

Using Machine Learning for Predicting the Effect of Mutations in the Initiation Codon

Published:2022-11 Issue:11 Volume:26 Page:5750-5756
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Castell-Diaz J.¹,Abad-Navarro F.¹^ORCID,de la Morena-Barrio M. E.²^ORCID,Corral J.³,Fernandez-Breis J. T.¹^ORCID

Affiliation:

1. Departamento de Informática y Sistemas, Universidad de Murcia, Murcia, Spain

2. Servicio de Hematología y Oncología Médica, Hospital Universitario Morales Meseguer, Centro Regional de Hemodonación, Universidad de Murcia, Murcia, Spain

3. Centro de Investigación Biomédica en Red de Enfermedades Raras, Instituto de Salud Carlos III, Madrid, Spain

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

http://xplorestaging.ieee.org/ielx7/6221020/9945616/09865120.pdf?arnumber=9865120

Reference44 articles.

1. SMOTE: Synthetic Minority Over-sampling Technique

2. Bagging predictors

3. Updating Formulae and a Pairwise Algorithm for Computing Sample Variances

4. Stochastic gradient boosting

5. A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting

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