Fuchu He

6 papers in the catalog · China, Beijing

Fuchu He: 6 papers in the catalog · China, Beijing · Beijing Institute of Lifeomics, Beijing Institute of Lifeomics · Works on AI proteomics perspective, FDR control for AI-based de novo sequencing, π-HelixNovo

Affiliations

Beijing Institute of Lifeomics · Research Unit of Proteomics Driven Cancer Precision Medicine, Chinese Academy of Medical Sciences
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)
National Center for Protein Sciences (Beijing) · State Key Laboratory of Medical Proteomics
State Key Laboratory of Medical Proteomics

Elsewhere

ORCID 0000-0002-1094-4019 · OpenAlex

Papers

AI proteomics: from protein identification to virtual cells (2026, Nature Methods)
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)
π-PrimeNovo: an accurate and efficient non-autoregressive deep learning model for de novo peptide sequencing (2025, Nature Communications)
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

AI proteomics perspective, FDR control for AI-based de novo sequencing, π-HelixNovo, π-MSNet, π-PrimeNovo

Co-authors (92)

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 0.43, 6 shared
Tianze Ling strength 0.42, 5 shared
Linhai Xie strength 0.36, 4 shared
Yu Wang strength 0.30, 4 shared
Tingpeng Yang strength 0.28, 3 shared
Yonghong He strength 0.28, 3 shared
Zhendong Liang strength 0.28, 3 shared
Boyan Sun strength 0.24, 3 shared
Leyuan Li strength 0.24, 3 shared
Fan Xu 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
Yasset Perez-Riverol strength 0.09, 2 shared
Yunping Zhu strength 0.09, 2 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
Yi Liu (Beijing) strength 0.08, 1 shared
Siqi Sun strength 0.08, 2 shared
Guangshuai Wang strength 0.06, 1 shared
Guibin Wang strength 0.06, 1 shared
Jiaqi Wei strength 0.06, 1 shared
Laks V.S. Lakshmanan strength 0.06, 1 shared
Muhammad Abdul-Mageed strength 0.06, 1 shared
Nanqing Dong strength 0.06, 1 shared
Sheng Xu strength 0.06, 1 shared
Wanli Ouyang strength 0.06, 1 shared
Xiang Zhang (Shanghai AI Lab) strength 0.06, 1 shared
Zhi Jin strength 0.06, 1 shared
Zhiqiang Gao strength 0.06, 1 shared
Zijie Qiu strength 0.06, 1 shared
Asif Khan strength 0.02, 1 shared
Benjamin Boyang Sun strength 0.02, 1 shared
Bing Zhang strength 0.02, 1 shared
Chao Liu strength 0.02, 1 shared

Seen in the charts

Back to the full map