Author

Le Yang

University at Buffalo, State University of New YorkORCID 0000-0002-9750-5691Unclaimed ORCID profile · follow to get notified of new preprints

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Le Yang2 papers · Agency for Science, Technology and Research

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:metagenomics· 1

Frequent Co-Authors

Steve Goodison BiD· 2 shared Yijun SuniD· 2 shared Jian CheniD· 1 shared Lu LiiD· 1 shared Runpu CheniD· 1 shared

Activity by Year

2019-2022 · peak 1/yr

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5 top collaborators · 8 mutual co-author links

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2 shared papersBioinformatics

Steve Goodison BORCID

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2 papers

Recent·Most cited

BioinformaticsBioinformatics AdvancesPeer-reviewedJan 1, 2022

Alignment-free Comparison of Metagenomics Sequences via Approximate String Matching

Jian Chen, Le Yang, Lu Li…·Yijun Sun

This paper introduces AsMac, an alignment-free method for metagenomics sequence comparison, showing improved performance on variable-length sequences and handling insertions/deletions.

9 citations

metagenomicsdeep learning

𝕏 PostBluesky

BioinformaticsBioinformaticsPeer-reviewedOct 8, 2019

Deep Learning Approach to Identifying Breast Cancer Subtypes Using High-Dimensional Genomic Data

Runpu Chen, Le Yang, Steve Goodison B, Yijun Sun

This paper introduces DeepType, a deep learning framework for breast cancer subtype classification, which outperforms existing methods by identifying more robust subtypes with fewer genes.

148 citationstop 3%

humanbulk RNA-seq

𝕏 PostBluesky