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Siqi Sun

11 papers hereh-index 7143 citations17 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author8

Across the 10 of 11 papers where every author was matched, so the position is known.

fields
  • q-bio.QM4
  • cs.LG3
  • q-bio.BM3
  • cs.AI1
same name
  • Siqi Sun — 5 papers, h 8
  • Siqi Sun — 2 papers, h 2
  • Siqi Sun — 2 papers, h 4
  • Siqi Sun — 2 papers, h 3
  • Siqi Sun — 2 papers, h 4
  • Siqi Sun — 2 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedContraNovo: A Contrastive Learning Approach to Enhance De Novo Peptide Sequencing

8 citations · 16 across the 10 of their papers we have counts for

collaborators
Showing q-bio.QMShow all

4 papers · 1 filter

q-bio.QM2026

Structure-guided taxonomic placement of divergent RNA viruses with ViraClass

Sheng Xu, Wenxuan Huang, Shutong Yue +8

Metatranscriptomic sequencing has expanded our knowledge of the RNA virosphere far more rapidly than novel viruses can be taxonomically classified. Taxonomic assignment above the f…

q-bio.QM2025

Accurate de novo sequencing of the modified proteome with OmniNovo

Yuhan Chen, Shang Qu, Zhiqiang Gao +13

Post-translational modifications (PTMs) serve as a dynamic chemical language regulating protein function, yet current proteomic methods remain blind to a vast portion of the modifi…

q-bio.QM2024★ 7 cited

BEACON: Benchmark for Comprehensive RNA Tasks and Language Models

Yuchen Ren, Zhiyuan Chen, Lifeng Qiao +10

RNA plays a pivotal role in translating genetic instructions into functional outcomes, underscoring its importance in biological processes and disease mechanisms. Despite the emerg…

q-bio.QM2023★ 8 cited

ContraNovo: A Contrastive Learning Approach to Enhance De Novo Peptide Sequencing

Zhi Jin, Sheng Xu, Xiang Zhang +6

De novo peptide sequencing from mass spectrometry (MS) data is a critical task in proteomics research. Traditional de novo algorithms have encountered a bottleneck in accuracy due…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.