Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Binta Sarr"'
Autor:
Tijan Jobarteh, Jacob Otu, Ensa Gitteh, Francis S. Mendy, Tutty Isatou Faal-Jawara, Boatema Ofori-Anyinam, Binta Sarr, Abi Janet Riley, Abigail Ayorinde, Bouke C. de Jong, Beate Kampmann, Ousman Secka, Florian Gehre
Publikováno v:
PLoS ONE, Vol 19, Iss 3 (2024)
Externí odkaz:
https://doaj.org/article/2e05a6826ffd4b319704c896f152a508
Autor:
Molly A. Vickers, Fatoumatta Darboe, Caleb N. Muefong, Georgetta Mbayo, Amadou Barry, Awa Gindeh, Sainabou Njie, Abi-Janet Riley, Binta Sarr, Basil Sambou, Hazel M. Dockrell, Salome Charalambous, Andrea Rachow, Olumuyiwa Owolabi, Shamanthi Jayasooriya, Jayne S. Sutherland
Publikováno v:
Frontiers in Immunology, Vol 11 (2020)
BackgroundBlood-based biomarkers have been proposed as an alternative to current sputum-based treatment monitoring methods in active tuberculosis (ATB). The aim of this study was to validate previously described phenotypic, activation, and cytokine m
Externí odkaz:
https://doaj.org/article/da0217da12f74a14ae33ed29182b6132
Autor:
Tutty Isatou Faal-Jawara, Leen Rigouts, Conor J. Meehan, Madikay Senghore, Bouke C. de Jong, Binta Sarr, Ensa Gitteh, Abi Janet Riley, Florian Gehre, Aderemi Kehinde, Tijan Jobarteh, Boatema Ofori-Anyinam, Martin Antonio, Nneka Onyejepu
Publikováno v:
Tuberculosis (Edinburgh, Scotland)
Tuberculosis
Tuberculosis
SummaryThe geographically restrictedMycobacterium africanumlineages (MAF) are primarily found in West Africa, where they account for a significant proportion of tuberculosis. Despite this phenomenon, little is known about the co-evolution of these an
Autor:
Ndey Binta Sarr, 莎妮塔
106
Feature selection is an essential data preprocessing method and has been generally studied in data mining and machine learning. In this paper, we presented an effective feature selection approach using the hybrid method. That is using the fi
Feature selection is an essential data preprocessing method and has been generally studied in data mining and machine learning. In this paper, we presented an effective feature selection approach using the hybrid method. That is using the fi
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/nqhgvw