Author

weizhong li

ORCID 0009-0003-4549-1253Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Organism:plant (other)· 1

Frequent Co-Authors

Le QiaoiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintJun 18, 2026

A Two-Stage Interpretable Framework for Predicting Plant-Derived Small RNA Targets on Human 3'UTRs

Le Qiao, weizhong li

The paper develops a two-stage framework to predict plant-derived small RNA targets on human 3'UTRs, achieving high performance on computational and experimental datasets.

DOI 10.64898/2026.06.16.732785

humanplant (other)

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