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Joseph K Min
Joseph K Min
Graduate Student, University of Washington
Bestätigte E-Mail-Adresse bei uw.edu
Titel
Zitiert von
Zitiert von
Jahr
Disease variant prediction with deep generative models of evolutionary data
J Frazer, P Notin, M Dias, A Gomez, JK Min, K Brock, Y Gal, DS Marks
Nature 599 (7883), 91-95, 2021
5792021
scPerturb: harmonized single-cell perturbation data
S Peidli, TD Green, C Shen, T Gross, J Min, S Garda, B Yuan, ...
Nature Methods 21 (3), 531-540, 2024
642024
Deciphering cell states and genealogies of human haematopoiesis
C Weng, F Yu, D Yang, M Poeschla, LA Liggett, MG Jones, X Qiu, ...
Nature 627 (8003), 389-398, 2024
582024
Coordination of bacterial cell wall and outer membrane biosynthesis
KR Hummels, SP Berry, Z Li, A Taguchi, JK Min, S Walker, DS Marks, ...
Nature 615 (7951), 300-304, 2023
492023
An in silico method to assess antibody fragment polyreactivity
EP Harvey, JE Shin, MA Skiba, GR Nemeth, JD Hurley, A Wellner, ...
Nature communications 13 (1), 7554, 2022
392022
MaveDB v2: a curated community database with over three million variant effects from multiplexed functional assays
AF Rubin, JK Min, NJ Rollins, EY Da, D Esposito, M Harrington, J Stone, ...
Biorxiv, 2021.11. 29.470445, 2021
192021
Publisher Correction: Disease variant prediction with deep generative models of evolutionary data
J Frazer, P Notin, M Dias, A Gomez, JK Min, K Brock, Y Gal, DS Marks
Nature 601 (7892), E7, 2022
52022
scperturb: Information resource for harmonized single-cell perturbation data
TD Green, S Peidli, C Shen, T Gross, J Min, S Garda, JP Taylor-King, ...
NeurIPS 2022 Workshop on Learning Meaningful Representations of Life, 2022
32022
MaveDB 2024: a curated community database with over seven million variant effects from multiplexed functional assays
AF Rubin, J Stone, AH Bianchi, BJ Capodanno, EY Da, M Dias, ...
Genome Biology 26 (1), 13, 2025
2025
The regulatory potential of transposable elements in maize
KL Bubb, MO Hamm, JK Min, B Ramirez-Corona, NA Mueth, J Ranchalis, ...
bioRxiv, 2024
2024
Disease variant prediction with deep generative models of evolutionary data (vol 599, pg 91, 2021)
J Frazer, P Notin, M Dias, A Gomez, JK Min, K Brock, Y Gal, DS Marks
NATURE 601 (7892), E7-E7, 2022
2022
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