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The Sickle Cell Disease Ontology: enabling universal sickle cell-based knowledge representation
The Sickle Cell Disease Ontology: enabling universal sickle cell-based knowledge representation
2019
Adekunle D. Adekile
Kofi A. Anie
Cherif Ben Hamda
Biobele J. Brown
Daima Bukini
Andrew D. Campbell
Melek Chaouch
Emile Chimusa
Catherine Chunda-Liyoka
Jemima Dennis-Antwi
Vimal K. Derebail
Miriam Flor-Park
Amy Geard
Kais Ghedira
Melissa Haendel
Neil A. Hanchard
Jade Hotchkiss
Mario Jonas
Muntaser E. Ibrahim
Clair Ingram
Baba Inusa
Adijat Ozohu Jimoh
Simon Jupp
Karen Kengne Kamga
Zainab Abimbola Kashim
Jennifer Knight-Madden
Guida Landouré
Philomène Lopez-Sall
Julie Makani
Leonard Malasa
Tshepiso Masekoameng
Gaston K. Mazandu
Khuthala Mnika
Nicola Mulder
Nchangwi Syntia Munung
Deogratias Munube
Liberata Mwita
Victoria Nembaware
Obiageli E Nnodu
Solomon F. Ofori-Acquah
Kwaku Ohene-Frempong
Alex Osei-Akoto
Vivian Paintsil
Sumir Panji
Mohamed Cherif Rahimy
Charmaine D. M. Royal
Raphael Z. Sangeda
Bamidele O. Tayo
Ines Tiouiri
Furahini Tluway
Marsha Treadwell
Léon Tshilolo
Nicole Vasilevsky
Kasadhakawo Musa Waiswa
Ambroise Wonkam
Keywords:
Data mining
Disease Ontology
Cell
Data science
cell based
Computer science
Knowledge representation and reasoning
Correction
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