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전체 가 나 다 라 마 바 사 아 자 차 카 타 파 하

Showing results 1 to 7 of 7

Thesis
Analysis of Ribosomal Proteome using Cancer Proteogenomic Data
  • Tran Quynh Trang
  • 2023
  • Tran Quynh Trang. (2023). Analysis of Ribosomal Proteome using Cancer Proteogenomic Data. doi: 10.22677/THESIS.200000686710
  • DGIST
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Thesis
Establishing a Mass Spectrometry-based Single-Cell Proteomics Workflow
  • Doyun Shin
  • 2026
  • DGIST
  • View : 33
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Thesis
Method establishment for mass spectrometry-based proteomics to identify lung cancer biomarkers from bronchoalveolar lavage fluid
  • Minh Hung Vu
  • 2023
  • Minh Hung Vu. (2023). Method establishment for mass spectrometry-based proteomics to identify lung cancer biomarkers from bronchoalveolar lavage fluid. doi: 10.22677/THESIS.200000655801
  • DGIST
  • View : 214
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Thesis
Proteomic analysis for biomarker discovery in autism spectrum disorder using mass spectrometry
  • Mohammad Hazara Begum
  • 2025
  • Mohammad Hazara Begum. (2025). Proteomic analysis for biomarker discovery in autism spectrum disorder using mass spectrometry. doi: 10.22677/THESIS.200000847601
  • DGIST
  • View : 140
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Thesis
Strategy for identifying organophosphate adducts in biological samples using high resolution mass spectrometry
  • Jun Hyung Lee
  • 2022
  • Jun Hyung Lee. (2022). Strategy for identifying organophosphate adducts in biological samples using high resolution mass spectrometry. doi: 10.22677/thesis.200000596601
  • DGIST
  • View : 312
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Systematic approaches for improving the identification of PTMs from tandem mass spectrometry data via PTM diagnostic ions

Thesis
Systematic approaches for improving the identification of PTMs from tandem mass spectrometry data via PTM diagnostic ions
  • Sunghyun Huh
  • 2021
  • Sunghyun Huh. (2021). Systematic approaches for improving the identification of PTMs from tandem mass spectrometry data via PTM diagnostic ions. doi: 10.22677/thesis.200000361814
  • DGIST
  • View : 284
  • Download : 147
Thesis
Systems approaches to identify molecular signatures using mass spectrometry
  • Ji Hwan Park
  • 2022
  • Ji Hwan Park. (2022). Systems approaches to identify molecular signatures using mass spectrometry. doi: 10.22677/thesis.200000628116
  • DGIST
  • View : 327
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