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Darlington S. Mapiye
ORCID
Publication Activity (10 Years)
Years Active: 2016-2023
Publications (10 Years): 5
Top Topics
Microarray Data
Statistical Learning
Profile Hidden Markov Models
Differentially Expressed Genes
Top Venues
CIBCB
BMC Bioinform.
AMIA
J. Bioinform. Comput. Biol.
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Publications
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Mpho Mokoatle
,
Vukosi Marivate
,
Darlington S. Mapiye
,
Riana Bornman
,
Vanessa M. Hayes
A review and comparative study of cancer detection using machine learning: SBERT and SimCSE application.
BMC Bioinform.
24 (1) (2023)
Stephanie J. Müller
,
Rebone L. Meraba
,
Gciniwe S. Dlamini
,
Darlington S. Mapiye
First-line drug resistance profiling of Mycobacterium tuberculosis: a machine learning approach.
AMIA
(2021)
Darlington S. Mapiye
,
Mpho Mokoatle
,
Dineo Makoro
,
Stephanie J. Müller
,
Gciniwe S. Dlamini
,
James Mashiyane
,
Lavina Joseph
,
Nazir Ismail
,
Shaheed Vally Omar
Phenotype Prediction of DNA Sequence Data: A Machine- and Statistical Learning Approach.
CIBCB
(2020)
Gciniwe S. Dlamini
,
Stephanie J. Müller
,
Rebone L. Meraba
,
Richard A. Young
,
James Mashiyane
,
Tapiwa M. Chiwewe
,
Darlington S. Mapiye
Classification of COVID-19 and Other Pathogenic Sequences: A Dinucleotide Frequency and Machine Learning Approach.
IEEE Access
8 (2020)
Darlington S. Mapiye
,
Alan Christoffels
,
Junaid Gamieldien
Identification of phenotype-relevant differentially expressed genes in breast cancer demonstrates enhanced quantile discretization protocol's utility in multi-platform microarray data integration.
J. Bioinform. Comput. Biol.
14 (5) (2016)