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Assya Trofimov
Assya Trofimov
University of Washington, Fred Hutchinson Cancer Center
Verified email at uw.edu
Title
Cited by
Cited by
Year
Expression of immunoproteasome genes is regulated by cell-intrinsic and–extrinsic factors in human cancers
A Rouette, A Trofimov, D Haberl, G Boucher, VP Lavallée, G D’Angelo, ...
Scientific reports 6 (1), 1-14, 2016
772016
Differential features of AIRE-induced and AIRE-independent promiscuous gene expression in thymic epithelial cells
C St-Pierre, A Trofimov, S Brochu, S Lemieux, C Perreault
The Journal of Immunology 195 (2), 498-506, 2015
762015
Accounting for variance in machine learning benchmarks
X Bouthillier, P Delaunay, M Bronzi, A Trofimov, B Nichyporuk, J Szeto, ...
Proceedings of Machine Learning and Systems 3, 747-769, 2021
392021
Immunoproteasomes shape the transcriptome and regulate the function of dendritic cells
DA de Verteuil, A Rouette, MP Hardy, S Lavallée, A Trofimov, É Gaucher, ...
The Journal of Immunology 193 (3), 1121-1132, 2014
322014
Widespread and tissue-specific expression of endogenous retroelements in human somatic tissues
JD Larouche, A Trofimov, L Hesnard, G Ehx, Q Zhao, K Vincent, C Durette, ...
Genome medicine 12 (1), 1-16, 2020
232020
Rejection of leukemic cells requires antigen-specific T cells with high functional avidity
K Vincent, MP Hardy, A Trofimov, CM Laumont, D Sriranganadane, ...
Biology of Blood and Marrow Transplantation 20 (1), 37-45, 2014
102014
UM171-expanded cord blood transplants support robust T cell reconstitution with low rates of severe infections
M Dumont-Lagacé, Q Li, M Tanguay, J Chagraoui, T Kientega, GB Cardin, ...
Transplantation and Cellular Therapy 27 (1), 76. e1-76. e9, 2021
52021
Factorized embeddings learns rich and biologically meaningful embedding spaces using factorized tensor decomposition
A Trofimov, JP Cohen, Y Bengio, C Perreault, S Lemieux
Bioinformatics 36 (Supplement_1), i417-i426, 2020
32020
Towards the latent transcriptome
A Trofimov, F Dutil, C Perreault, S Lemieux, Y Bengio, JP Cohen
arXiv preprint arXiv:1810.03442, 2018
12018
Two types of human TCR differentially regulate reactivity to self and non-self antigens
A Trofimov, P Brouillard, JD Larouche, J Séguin, JP Laverdure, A Brasey, ...
Iscience 25 (9), 104968, 2022
2022
Two types of human TCR differentially regulate reactivity to self and non-self antigens (preprint)
A Trofimov, P Brouillard, JD Larouche, J Séguin, JP Laverdure, A Brasey, ...
2022
Single UM171-Expanded Cord Blood Transplants Support Robust T-Cell Reconstitution with Low Rates of Severe Infections
M Dumont-Lagacé, Q Li, M Tanguay, J Chagraoui, T Kientega, GB Cardin, ...
Stem Cells Translational Medicine 9 (S1), S8-S9, 2020
2020
Étude des signatures géniques dans un contexte d’expériences de RNA-Seq
A Trofimov
2018
Warp: a method for neural network interpretability applied to gene expression profiles
T Assya, L Sebastien, P Claude
arXiv preprint arXiv:1708.04988, 2017
2017
Immunoproteasomes shape the transcriptome and regulate the function of dendritic cells (IRM7P. 476)
A Rouette, D de Verteuil, MP Hardy, S Lavallée, A Trofimov, É Gaucher, ...
The Journal of Immunology 192 (1 Supplement), 126.1-126.1, 2014
2014
IFT 6085-Lecture 2 Basics of convex analysis and gradient descent
I Mitliagkas
Accounting for Variance in Machine Learning Benchmarks Open Website
X Bouthillier, P Delaunay, M Bronzi, A Trofimov, B Nichyporuk, J Szeto, ...
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