Development of a Machine Learning Model to Predict Non-Durable Response to Anti-TNF Therapy in Crohn’s Disease Using Transcriptome Imputed from Genotypes

Almost half of patients show no primary or secondary response to monoclonal anti-tumor necrosis factor α (anti-TNF) antibody treatment for inflammatory bowel disease (IBD). Thus, the exact mechanisms of a non-durable response (NDR) remain inadequately defined. We used our genome-wide genotype data t...

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Detalles Bibliográficos
Autores principales: Park, Soo Kyung, Kim, Yea Bean, Kim, Sangsoo, Lee, Chil Woo, Choi, Chang Hwan, Kang, Sang-Bum, Kim, Tae Oh, Bang, Ki Bae, Chun, Jaeyoung, Cha, Jae Myung, Im, Jong Pil, Kim, Min Suk, Ahn, Kwang Sung, Kim, Seon-Young, Park, Dong Il
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9224874/
https://www.ncbi.nlm.nih.gov/pubmed/35743732
http://dx.doi.org/10.3390/jpm12060947

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9224874/
https://www.ncbi.nlm.nih.gov/pubmed/35743732
http://dx.doi.org/10.3390/jpm12060947

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