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Visual genome-wide RNAi screening to identify human host factors required for Trypanosoma cruzi infection
Genovesio, A
;
Giardini, MA
;
Kwon, Y-J
;
de Macedo Dossin, F
;
Cho, SY
;
Kim, NY
;
Kim, HC
;
Jung, SY
;
Schenkman, S
;
Almeida, IC
;
Emans, N
;
Freitas-Junior, LH
(
Public Library of Science
,
2011-05
)
Bayesian structural equations modeling for ordinal response data with missing responses and missing covariates
Kim, S
;
Das, Sonali
;
Chen, M-H
;
Warren, N
(
Taylor & Francis
,
2009-01
)
Bayesian structural equations model for multilevel data with missing responses and missing covariates
Kim, S
;
Das, Sonali
;
Chen, M-H
;
Warren, N
(
International Society for Bayesian Analysis
,
2008-03
)
Bioelectricity generation by natural microflora of septic tank wastewater (STWW) and biodegradation of persistent petrogenic pollutants by basidiomycetes fungi: An integrated microbial fuel cell system
Thulasinathan, B
;
Jayabalan, T
;
Sethupathi, M
;
Kim, W
;
Muniyasamy, Sudhakar
;
Sengottuvelan, N
;
Nainamohamed, S
;
Ponnuchamy, K
;
Alagarsamy, A
(
2021-01
)
AI and precision oncology in clinical cancer genomics: From prevention to targeted cancer therapies-an outcomes based patient care
Zodwa, Dlamini, Z
;
Skepu, Amanda
;
Kim, N
;
Mkhabele, M
;
Khanyile, R
;
Molefi, T
;
Mbatha, S
;
Setlai, B
;
Mulaudzi, T
;
Mabongo, M
(
2022-05
)
Utilizing a novel high-resolution malaria dataset for climate-informed predictions with a deep learning transformer model
Pillay, MT
;
Minakawa, N
;
Kim, Y
;
Kgalane, N
;
Ratnam, JV
;
Behera, SK
;
Hashizume, M
;
Sweijd, Neville A
(
2023-12
)
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