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Pelletier, Alexander
203
results:
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Online (203)
Mediatypes
Articles (Online) (79)
OpenAccess-fulltext (124)
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1
Multiple lines of evidence to assess risk from dioxins and ..:
Brinkmann, Markus
;
Petersen, Stephanie
;
Pelletier, Alexander
...
Journal of Soils and Sediments. 24 (2023) 1 - p. 414-424 , 2023
Link:
https://doi.org/10.1007/..
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2
MIND-S is a deep-learning prediction model for elucidating ..:
Yan, Yu
;
Jiang, Jyun-Yu
;
Fu, Mingzhou
...
Cell Reports Methods. 3 (2023) 3 - p. 100430 , 2023
Link:
https://doi.org/10.1016/..
?
3
Legacy Contamination from Mercury Mining in the Fergana Val..:
Pelletier, Alexander R.
;
Zhulidov, Alexander V.
;
Kozhara, Alexander V.
...
ACS Chemical Health & Safety. 31 (2023) 1 - p. 68-76 , 2023
Link:
https://doi.org/10.1021/..
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4
Identification of novel lipid droplet factors that regulate..:
Robichaud, Sabrina
;
Fairman, Garrett
;
Vijithakumar, Viyashini
...
Autophagy. 17 (2021) 11 - p. 3671-3689 , 2021
Link:
https://doi.org/10.1080/..
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5
MealTime-MS: A Machine Learning-Guided Real-Time Mass Spect..:
Pelletier, Alexander R.
;
Chung, Yun-En
;
Ning, Zhibin
...
Journal of the American Society for Mass Spectrometry. 31 (2020) 7 - p. 1459-1472 , 2020
Link:
https://doi.org/10.1021/..
?
6
Identifying temporal molecular signatures underlying cardio..:
Chung, Neo Christopher
;
Choi, Howard
;
Wang, Ding
...
Journal of Molecular and Cellular Cardiology. 145 (2020) - p. 54-58 , 2020
Link:
https://doi.org/10.1016/..
?
7
Structural Analysis of Hippocampal Kinase Signal Transducti..:
McClatchy, Daniel B.
;
Yu, Nam-Kyung
;
Martínez-Bartolomé, Salvador
...
ACS Chemical Neuroscience. 9 (2018) 12 - p. 3072-3085 , 2018
Link:
https://doi.org/10.1021/..
?
8
Temporal and Longitudinal Mercury Trends in Burbot (Lota lo..:
Pelletier, Alexander R.
;
Castello, Leandro
;
Zhulidov, Alexander V.
...
Environmental Science & Technology. 51 (2017) 22 - p. 13436-13442 , 2017
Link:
https://doi.org/10.1021/..
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9
Quality Control for RNA-Seq (QuaCRS): An Integrated Quality..:
Kroll, Karl W.
;
Mokaram, Nima E.
;
Pelletier, Alexander R.
...
Cancer Informatics. 13s3 (2014) - p. CIN.S14022 , 2014
Link:
https://doi.org/10.4137/..
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10
MIND-S is a deep-learning prediction model for elucidating ..:
Yan, Yu
;
Jiang, Jyun-Yu
;
Fu, Mingzhou
...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10088250/. , 2023
Link:
http://www.ncbi.nlm.nih...
?
11
Know2BIO: A Comprehensive Dual-View Benchmark for Evolving ..:
Xiao, Yijia
;
Steinecke, Dylan
;
Pelletier, Alexander Russell
...
http://arxiv.org/abs/2310.03221. , 2023
Link:
http://arxiv.org/abs/231..
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12
MIND-S is a deep-learning prediction model for elucidating ..:
Yan, Yu
;
Jiang, Jyun-Yu
;
Fu, Mingzhou
...
qt5sz4w8jh. , 2023
Link:
https://escholarship.org..
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13
Identification of novel lipid droplet factors that regulate..:
Robichaud, Sabrina
;
Fairman, Garrett
;
Vijithakumar, Viyashini
...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8632324/. , 2021
Link:
http://www.ncbi.nlm.nih...
?
14
Identifying temporal molecular signatures underlying cardio..:
Chung, Neo Christopher
;
Choi, Howard
;
Wang, Ding
...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7583079/. , 2020
Link:
http://www.ncbi.nlm.nih...
?
15
Structural Analysis of Hippocampal Kinase Signal Transducti..:
McClatchy, Daniel B
;
Yu, Nam-Kyung
;
Martínez-Bartolomé, Salvador
...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6374210/. , 2018
Link:
http://www.ncbi.nlm.nih...
1-15