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Low-Kam, Cécile
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1

Generalization optimizing machine learning to improve CT sc..:

Tonneau, Marion ; Phan, Kim ; Manem, Venkata S. K....
Frontiers in Oncology.  13 (2023)  - p. , 2023
Link: https://doi.org/10.3389/..
 
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2

Polygenic determinants in extremes of high-density lipoprot..:

Dron, Jacqueline S. ; Wang, Jian ; Low-Kam, Cécile...
Journal of Lipid Research.  58 (2017)  11 - p. 2162-2170 , 2017
Link: https://doi.org/10.1194/..
 
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3

Testing the role of predicted gene knockouts in human anthr..:

Lessard, Samuel ; Manning, Alisa K. ; Low-Kam, Cécile...
Human Molecular Genetics.  25 (2016)  10 - p. 2082-2092 , 2016
Link: https://doi.org/10.1093/..
 
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4

Whole-genome sequencing in French Canadians from Quebec:

Low-Kam, Cécile ; Rhainds, David ; Lo, Ken Sin...
Human Genetics.  135 (2016)  11 - p. 1213-1221 , 2016
Link: https://doi.org/10.1007/..
 
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5

Toxicity of Metal Oxide Nanoparticles in Escherichia coli C..:

Kaweeteerawat, Chitrada ; Ivask, Angela ; Liu, Rong.... (2015)  - p. 1105-1112
Link: http://dx.doi.org/10.102..
 
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6

Toxicity of Metal Oxide Nanoparticles in Escherichia coli C..:

Kaweeteerawat, Chitrada ; Ivask, Angela ; Liu, Rong...
Environmental Science & Technology.  49 (2015)  2 - p. 1105-1112 , 2015
Link: https://doi.org/10.1021/..
 
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7

A BAYESIAN REGRESSION TREE APPROACH TO IDENTIFY THE EFFECT ..:

Low-Kam, Cecile ; Telesca, Donatello ; Ji, Zhaoxia...
The Annals of Applied Statistics.  9 (2015)  1 - p. 383-401 , 2015
Link: http://www.jstor.org/sta..
 
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8

Use of Metal Oxide Nanoparticle Band Gap To Develop a Predi..:

Zhang, Haiyuan ; Ji, Zhaoxia ; Xia, Tian.... (2012)  - p. 4349-4368
Link: http://dx.doi.org/10.102..
 
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9

Use of Metal Oxide Nanoparticle Band Gap To Develop a Predi..:

Zhang, Haiyuan ; Ji, Zhaoxia ; Xia, Tian...
ACS Nano.  6 (2012)  5 - p. 4349-4368 , 2012
Link: https://doi.org/10.1021/..
 
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10

Generalization optimizing machine learning to improve CT sc..:

Tonneau, Marion ; Phan, Kim ; Manem, Venkata S. K...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10400292/.  , 2023
Link: http://www.ncbi.nlm.nih...
 
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11

Precision-Weighted Federated Learning:

Reyes, Jonatan ; Di Jorio, Lisa ; Low-Kam, Cecile.
http://arxiv.org/abs/2107.09627.  , 2021
Link: http://arxiv.org/abs/210..
 
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12

Adversarially Learned Mixture Model:

Jesson, Andrew ; Low-Kam, Cécile ; Nair, Tanya...
http://arxiv.org/abs/1807.05344.  , 2018
Link: http://arxiv.org/abs/180..
 
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13

Testing the role of predicted gene knockouts in human anthr..:

Lessard, Samuel ; Manning, Alisa K ; Low-Kam, Cécile...
https://www.repository.cam.ac.uk/handle/1810/254467.  , 2016
Link: https://www.repository.c..
 
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14

A Bayesian regression tree approach to identify the effect ..:

Low-Kam, Cecile ; Telesca, Donatello ; Ji, Zhaoxia...
http://arxiv.org/abs/1506.00403.  , 2015
Link: http://arxiv.org/abs/150..
 
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15

A Bayesian regression tree approach to identify the effect ..:

Low-Kam, Cecile ; Telesca, Donatello ; Ji, Zhaoxia...
qt8zc6d5w2.  , 2015
Link: https://escholarship.org..
 
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