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1 Ergebnisse
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MLb-LDLr: A Machine Learning Model for Predicting the Patho..:
Larrea Sebal, Asier
;
Benito Vicente, Asier
;
Fernández Higuero, José Ángel
...
https://www.sciencedirect.com/science/article/pii/S2452302X21002710. , 2021
Link:
http://hdl.handle.net/10810/64654
RT Journal T1 <Title>MLb-LDLr: A Machine Learning Model for Predicting the Pathogenicity of LDLr Missense Variants</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftunivpaisvasco:oai:addi.ehu.eus:10810_64654&Exemplar=1&LAN=DE A1 Larrea Sebal, Asier A1 Benito Vicente, Asier A1 Fernández Higuero, José Ángel A1 Jebari Benslaiman, Shifa A1 Galicia García, Unai A1 Belloso Uribe, Kepa A1 Cenarro Lagunas, Ana A1 Ostolaza Echabe, Elena Amaya A1 Civeira Murillo, Fernando A1 Arrasate Gil, Sonia A1 González Díaz, Humberto A1 Martín Plágaro, César Augusto PB Elsevier YR 2021 K1 familial hypercholesterolemia K1 LDL receptor K1 machine learning software K1 pathogenicity K1 prediction JF https://www.sciencedirect.com/science/article/pii/S2452302X21002710 LK http://hdl.handle.net/10810/64654 DO http://hdl.handle.net/10810/64654 SF ELIB - SuUB Bremen
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