A Multi-Label Supervised Topic Model Conditioned on Arbitrary Features for Gene Function Prediction

A Multi-Label Supervised Topic Model Conditioned on Arbitrary Features for Gene Function Prediction

With the continuous accumulation of biological data, more and more machine learning algorithms have been introduced into the field of gene function prediction, which has great significance in decoding the secret of life. Recently, a multi-label supervised topic model named labeled latent Dirichlet a...

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Bibliographic Details
Main Authors: Lin Liu, Lin Tang, Xin Jin, Wei Zhou
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Genes
Subjects:
multi-label classification
topic model
gene function
probability distribution
Dirichlet-multinomial Regression
Online Access:http://www.mdpi.com/2073-4425/10/1/57

Internet

http://www.mdpi.com/2073-4425/10/1/57

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