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Development of a Machine Learning Model to Predict Non-Dura..:
Soo Kyung Park
;
Yea Bean Kim
;
Sangsoo Kim
...
https://dx.doi.org/10.3390/jpm12060947. , 2022
Link:
https://doi.org/10.3390/jpm12060947
RT Journal T1
Development of a Machine Learning Model to Predict Non-Durable Response to Anti-TNF Therapy in Crohn's Disease Using Transcriptome Imputed from Genotypes
UL https://suche.suub.uni-bremen.de/peid=base-ftmdpi:oai:mdpi.com:_2075-4426_12_6_947_&Exemplar=1&LAN=DE A1 Soo Kyung Park A1 Yea Bean Kim A1 Sangsoo Kim A1 Chil Woo Lee A1 Chang Hwan Choi A1 Sang-Bum Kang A1 Tae Oh Kim A1 Ki Bae Bang A1 Jaeyoung Chun A1 Jae Myung Cha A1 Jong Pil Im A1 Min Suk Kim A1 Kwang Sung Ahn A1 Seon-Young Kim A1 Dong Il Park PB Multidisciplinary Digital Publishing Institute YR 2022 K1 genotype K1 genetic features K1 anti-TNF K1 Crohn's disease JF https://dx.doi.org/10.3390/jpm12060947 LK http://dx.doi.org/https://doi.org/10.3390/jpm12060947 DO https://doi.org/10.3390/jpm12060947 SF ELIB - SuUB Bremen
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