Linhai Xie

5 papers in the catalog · China

Linhai Xie: 5 papers in the catalog · China · Beijing Institute of Lifeomics, International Academy of Phronesis Medicine (Guangdong) · Works on FDR control for AI-based de novo sequencing, π-HelixNovo, π-MSNet

Affiliations

Beijing Institute of Lifeomics · State Key Laboratory of Medical Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing)
International Academy of Phronesis Medicine (Guangdong)
State Key Laboratory of Medical Proteomics

Elsewhere

ORCID 0000-0001-8593-2277 · OpenAlex

Papers

False discovery rate control for trustworthy AI-based de novo peptide sequencing (2026, bioRxiv)
π-MSNet: A billion-scale, AI-ready living proteomics data portal (2026, bioRxiv)
Transforming de novo peptide sequencing by explainable AI (2024, Research Square)
Introducing π-HelixNovo for practical large-scale de novo peptide sequencing (2024, Briefings in Bioinformatics)
Introducing PandaNovo for practical large-scale de novo peptide sequencing (2023, bioRxiv)

Methods and tools

FDR control for AI-based de novo sequencing, π-HelixNovo, π-MSNet, π-xNovo

Co-authors (23)

Ranked by Newman fractional collaboration strength, so a pair on a two-author paper counts for more than a pair on a 50-author consortium paper.

Cheng Chang strength 0.53, 5 shared
Tianze Ling strength 0.53, 5 shared
Tingpeng Yang strength 0.45, 4 shared
Yonghong He strength 0.45, 4 shared
Yu Wang strength 0.45, 4 shared
Zhendong Liang strength 0.45, 4 shared
Fuchu He strength 0.36, 4 shared
Boyan Sun strength 0.18, 2 shared
Fan Xu strength 0.18, 2 shared
Leyuan Li strength 0.18, 2 shared
Xiansong Huang strength 0.18, 2 shared
Chengxin Dai strength 0.18, 2 shared
Yeye Leng strength 0.10, 1 shared
Yun Yang strength 0.10, 1 shared
Huali Xu strength 0.08, 1 shared
Mingze Bai strength 0.08, 1 shared
Qingyuan Zhang strength 0.08, 1 shared
Timo Sachsenberg strength 0.08, 1 shared
Xiaowei Huang strength 0.08, 1 shared
Yang Qiu strength 0.08, 1 shared
Yasset Perez-Riverol strength 0.08, 1 shared
Yi Liu strength 0.08, 1 shared
Yunping Zhu strength 0.08, 1 shared

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