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2005 Fiscal Year Final Research Report Summary

Development of Statistical methodology for searching disease related factors based on proteomic and clinical information

Research Project

Project/Area Number 16300090
Research Category

Grant-in-Aid for Scientific Research (B)

Allocation TypeSingle-year Grants
Section一般
Research Field Statistical science
Research InstitutionJapanese Foundation for Cancer Research

Principal Investigator

MATSUURA Masaaki  Japanese Foundation for Cancer Research, Cancer Institute, Department of Physics, Associate member, 癌研究所物理部, 主任研究員 (40173794)

Co-Investigator(Kenkyū-buntansha) HOSHIKAWA Yutaka  Japanese Foundation for Cancer Research, Genome Center, Gene expression analysis group, Associate, ゲノムセンター, 研究員 (80280626)
MIYATA Satoshi  Japanese Foundation for Cancer Research, Genome Center, Bioinformatics Group, Associate, ゲノムセンター, 研究員 (60360343)
USHIJIMA Masaru  Japanese Foundation for Cancer Research, Genome Center, Bioinformatics Group, Associate, ゲノムセンター, 研究員 (60328565)
MIKI Yoshio  Tokyo Medical and Dental University, Medical Research Institute, Professor, 難治疾患研究所, 教授 (10281594)
EGUCHI Shinto  Institute of Statistical Mathmatics, Department of Mathematical Analysis and Statistical Inference, Professor, 統計基礎研究系, 教授 (10168776)
Project Period (FY) 2004 – 2005
KeywordsProteome / Mass Spectrometry / Clinical Information / Statistics / Machine Learning
Research Abstract

Protein mass spectrometry (MS) is a promising tool for early cancer detection or prediction of anticancer drug sensitivity. An objective of MS is to identify the biomarkers and to enable the prediction of cancer. We have developed a novel methodology consists of three-step strategy for analyses of MS data.
Step (1) Peak detection within individual subjects ; We utilize adaptive free-knot splines with adaptive model selection criterion and local bias/variance estimation procedure. This procedure provides outperforming results compare with previous researches.
Step (2) Peak alignment among subjects. Estimating representative m/z values of common peaks among many subjects is needed. We have developed a simple procedure based on a new idea using information of an adjacent peak in one subject.
Step (3) Statistical analysis for selecting biomarkers and prediction ; We applied boosting alogorithms for cancer classification methods.
We have developed compute programs for these three steps. We reported our study results at American symposium of Advances in Proteomics in Cancer Research in 2004 and Pacific Symposium on Biocomputing at Hawai in 2006. Furthermore, we have had a cooperative symposium at the Institute of Statistical Mathematics and have discussed our issue with Dr.Yasui from Alberta University in Canada.

  • Research Products

    (12 results)

All 2005 2004

All Journal Article (12 results)

  • [Journal Article] Free-Knot Splines and Adaptive Knot Selection2005

    • Author(s)
      Satoshi Miyata, Xiaotong Shen
    • Journal Title

      Journal of Japan Statistical Society 32

      Pages: 303-324

    • Description
      「研究成果報告書概要(和文)」より
  • [Journal Article] バイオインフォマティクスがもたらす癌研究と診断2005

    • Author(s)
      松浦正明, 牛嶋 大, 宮田 敏
    • Journal Title

      ゲノム医学 5

      Pages: 137-141

    • Description
      「研究成果報告書概要(和文)」より
  • [Journal Article] ゲノム関連データの解析2005

    • Author(s)
      松浦正明, 牛嶋 大, 宮田 敏
    • Journal Title

      ファルマシア 41

      Pages: 427-432

    • Description
      「研究成果報告書概要(和文)」より
  • [Journal Article] Free-Knot Splines and Adaptive Knot Selection.2005

    • Author(s)
      Satoshi Miyata, Xiaotong Shen
    • Journal Title

      Journal of Japan Statistical Society 32

      Pages: 303-324

    • Description
      「研究成果報告書概要(欧文)」より
  • [Journal Article] Cancer Research and Diagnosis based on Bioinfomatics2005

    • Author(s)
      Masaaki Matsuura, Masaru Ushijima, Satoshi Miyata
    • Journal Title

      Genome Medicine 5

      Pages: 137-141

    • Description
      「研究成果報告書概要(欧文)」より
  • [Journal Article] Analyses of Genome-related Data2005

    • Author(s)
      Masaaki Matsuura.Masaru Ushijima.Satoshi Miyata
    • Journal Title

      Pharmacia 41

      Pages: 427-432

    • Description
      「研究成果報告書概要(欧文)」より
  • [Journal Article] メディカルインフォマティクスのためのゲノム関連データの解析法とその問題点2004

    • Author(s)
      松浦正明, 牛嶋 大, 宮田 敏
    • Journal Title

      計量生物学 25

      Pages: 117-134

    • Description
      「研究成果報告書概要(和文)」より
  • [Journal Article] 適合型モデル選択基準に基づく非線型回帰モデルの推定2004

    • Author(s)
      宮田 敏
    • Journal Title

      応用統計学 33

      Pages: 70-92

    • Description
      「研究成果報告書概要(和文)」より
  • [Journal Article] 癌の診断・治療へ向けてのバイオインフォマティクス2004

    • Author(s)
      松浦正明
    • Journal Title

      実験医学 122

      Pages: 1949-1953

    • Description
      「研究成果報告書概要(和文)」より
  • [Journal Article] Statistical Analyses for Genome related data for Medical Informatics.2004

    • Author(s)
      Masaaki Matsuura, Masaru Ushijima, Satoshi Miyata
    • Journal Title

      Japanese Journal of Biometrics. 25

      Pages: 117-134

    • Description
      「研究成果報告書概要(欧文)」より
  • [Journal Article] Non-parametric Regression Model Estimation based on Adaptive Model Selection Criterion2004

    • Author(s)
      Satoshi Miyata
    • Journal Title

      Japanese Journal of applied Statistics 33

      Pages: 71-91

    • Description
      「研究成果報告書概要(欧文)」より
  • [Journal Article] Bioinfomatics for Cancer Treatment and Diagnosis2004

    • Author(s)
      Masaaki Matsuura
    • Journal Title

      Jikken Igaku 122

      Pages: 1949-1953

    • Description
      「研究成果報告書概要(欧文)」より

URL: 

Published: 2007-12-13  

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