Supervised learning with word embeddings derived from PubMed captures latent knowledge about protein kinases and cancer

Supervised learning with word embeddings derived from PubMed captures latent knowledge about protein kinases and cancer

Inhibiting protein kinases (PKs) that cause cancers has been an important topic in cancer therapy for years. So far, almost 8% of >530 PKs have been targeted by FDA-approved medications, and around 150 protein kinase inhibitors (PKIs) have been tested in clinical trials. We present an approach ba...

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Bibliographic Details
Main Authors: Blau, H. (Author), Bocci, G. (Author), Bult, C. (Author), Cappelletti, L. (Author), Carmody, L. (Author), Casiraghi, E. (Author), Coleman, B. (Author), Fontana, T. (Author), George, J. (Author), Hansen, P. (Author), Joachimiak, M. (Author), Mungall, C. (Author), Oprea, T.I (Author), Ravanmehr, V. (Author), Reese, J. (Author), Robinson, P.N (Author), Rueter, J. (Author), Valentini, G. (Author)
Format: Article
Language:English
Published: Oxford University Press 2021
Subjects:
afatinib
area under the curve
Article
B Raf kinase
breast cancer
cancer inhibition
cancer survival
cancer therapy
controlled study
differentiated thyroid cancer
disease association
embedding
enzyme inhibition
Flt3 ligand
genetic association
human
kit protein
malignant neoplasm
Medline
natural language processing
non small cell lung cancer
phase 1 clinical trial (topic)
phase 2 clinical trial (topic)
phase 3 clinical trial (topic)
phase 4 clinical trial (topic)
phosphotransferase
placebo
platelet derived growth factor receptor
professional knowledge
progression free survival
protein kinase
protein kinase inhibitor
protein Ret
Raf protein
random forest
randomized controlled trial (topic)
receiver operating characteristic
sorafenib
supervised machine learning
unclassified drug
vasculotropin
vasculotropin receptor 1
vasculotropin receptor 2
vasculotropin receptor 3
word embedding
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