Author

Justin Qian

University of British ColumbiaORCID 0009-0000-3866-3430Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genomics· 1

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Research Focus:benchmarking· 1 Assay:DNA methylation· 1 Approach:machine learning (classical)· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Abdul Muntakim RafiiD· 1 shared Carl G. de BoeriD· 1 shared Emmanuel CazottesiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperGenomics

Abdul Muntakim RafiORCID

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1 paper

Recent·Most cited

GenomicsbioRxivPreprintMay 26, 2026

Evaluation of Active Learning Selection Strategies and Characterization of Informative Sequences for Sequence-to-Expression Models

Justin Qian, Abdul Muntakim Rafi, Emmanuel Cazottes, Carl G. de Boer

This study evaluates active learning strategies for sequence-to-expression models, finding that uncertainty-based methods outperform random sampling and identify informative sequences with distinct biological features.

DOI 10.64898/2026.05.21.727038

DNA methylationwhole-genome sequencing

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