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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Detalles Bibliográficos
Autores principales: Liu, Lin, Tang, Lin, Jin, Xin, Zhou, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6356783/
https://www.ncbi.nlm.nih.gov/pubmed/30658497
http://dx.doi.org/10.3390/genes10010057

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6356783/
https://www.ncbi.nlm.nih.gov/pubmed/30658497
http://dx.doi.org/10.3390/genes10010057

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