Contextualizing Genes by Using Text-Mined Co-Occurrence Features for Cancer Gene Panel Discovery

Developing a biomedical-explainable and validatable text mining pipeline can help in cancer gene panel discovery. We create a pipeline that can contextualize genes by using text-mined co-occurrence features. We apply Biomedical Natural Language Processing (BioNLP) techniques for literature mining in...

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Detalles Bibliográficos
Autores principales: Chen, Hui-O, Lin, Peng-Chan, Liu, Chen-Ruei, Wang, Chi-Shiang, Chiang, Jung-Hsien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8573063/
https://www.ncbi.nlm.nih.gov/pubmed/34759963
http://dx.doi.org/10.3389/fgene.2021.771435

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8573063/
https://www.ncbi.nlm.nih.gov/pubmed/34759963
http://dx.doi.org/10.3389/fgene.2021.771435

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