Author

Xuefeng Xia

ORCID 0000-0001-9734-5926Unclaimed 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:cell type annotation· 2 Research Focus:differential expression· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:database / resource· 1 Approach:experimental assay· 1

Frequent Co-Authors

Xin YiiD· 2 shared Xuan GaoiD· 2 shared Chengzhi ZhouiD· 1 shared Enjie Yu· 1 shared Haiyi Deng· 1 shared Hongjie GuoiD· 1 shared Hongke WangiD· 1 shared Huan FangiD· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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2 shared papersBioinformatics

Xin YiORCID

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3 papers

Recent·Most cited

Molecular BiologyClinical and Translational MedicinePeer-reviewedJul 1, 2024

Depletion-assisted multiplexed cell-free RNA sequencing reveals distinct human and microbial signatures in plasma versus extracellular vesicles

Hongke Wang, Qing Zhan, Meng Ning…·Zhi Lü

The paper develops DETECTOR-seq to analyze fragmented cell-free RNAs in plasma and extracellular vesicles, revealing distinct RNA distributions and potential biomarkers for cancer detection.

19 citations

humanlong-read sequencing

𝕏 PostBluesky

BioinformaticsbioRxivPreprintMay 16, 2023

RealSeq2: a software integrated with UMI identification, error correction, and methylation modifications storing

Ke Wang, Mengmeng Song, Min Li…·Xin Yi

RealSeq2 is a preprocessing software for high-throughput sequencing data that includes UMI identification, error correction, and methylation data storage, supporting co-detection of ultra-low frequency mutations and methylation sites.

1 citation

whole-genome sequencingstatistical model

𝕏 PostBluesky

BioinformaticsbioRxivPreprintJul 30, 2021

A new single-cell level R-index for EGFR-TKI resistance and survival prediction in LUAD

Xiaohong Xie, Lifeng Li, Liang Xie…·Chengzhi Zhou

The paper introduces an R-index model using single-cell RNA data to predict EGFR-TKI resistance and survival in LUAD, identifying glycolysis and KRAS pathways as key factors.

2 citations

humanscRNA-seq

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