Combfit : A Normalization Method for Array CGH Data
スポンサーリンク
概要
- 論文の詳細を見る
The recently developed array-based comparative genomic hybridization (array CGH) technique measures DNA copy number aberrations that occur as causes or consequences of cell diseases such as cancers. Conventional array CGH analysis classifies DNA copy number aberrations into three categories: no significant change, significant gain, and significant loss. However, recent improvements in microarray measurement precision enable more quantitative analysis of copy number aberrations. We propose a method, called comb fitting, that extracts a quantitative interpretation from array CGH data. We also propose modifications that allow us to apply comb fitting to cases featuring heterogeneity of local aberrations in DNA copy numbers. By using comb fitting, we can correct the baseline of the fluorescence ratio data measured by array CGH and simultaneously translate them into the amount of changed copy numbers for each small part of the chromosome, such as 0,±1,±2,…. Comb fitting is applicable even when a considerable amount of contamination by normal cells exists and when heterogeneity in the ploidy number cannot be neglected.
- 一般社団法人情報処理学会の論文
- 2006-11-15
著者
-
Ishii Shin
京都大学 医学研究科脳神経外科学
-
Oba Shigeyuki
京都大学 医学研究科脳神経外科学
-
OHIRA Miki
Division of Biochemistry, Chiba Cancer Center
-
Ohira Miki
Division Of Biochemistry Chiba Cancer Center Research Institute
-
OBA SHIGEYUKI
Graduate School of Information Science, Nara Institute of Science and Technology
-
TOMIOKA NOBUMOTO
The 1st Department of Surgery, Hokkaido University, Graduate School of Medicine
-
ISHII SHIN
Graduate School of Information Science, Nara Institute of Science and Technology
-
Ohira Miki
Division Of Biochemistry And Innovative Cancer Therapeutics Chiba Cancer Center Research Institute
-
Tomioka Nobumoto
The 1st Department Of Surgery Hokkaido University Graduate School Of Medicine
-
Ishii Shin
Graduate School Of Information Science Nara Institute Of Science And Technology
-
Ishii Shin
Graduate School Of Informatics Kyoto University:graduate School Of Information Science Nara Institut
-
ISHII Shin
Graduae School of Informatics, Kyoto University
-
OBA Shigeyuki
Graduae School of Informatics, Kyoto University
関連論文
- Isolation, tissue expression, and chromosomal assignment of human RGS5, a novel G-protein signaling regulator gene
- Chromosomal assignment of a human apoptosis-associated tyrosine kinase gene on chromosome 17q25.3 by somatic hybrid analysis and fluorescence in situ hybridization
- Assignment of the ZIP kinase gene to human chromosome 19p13.3 by somatic hybrid analysis and fluorescence in-situ hybridization
- Plasma midkine level is a prognostic factor for human neuroblastoma
- Molecular cloning and expression analysis of the human DA41 gene and its mapping to chromosome 9q21.2-q21.3
- COLLABORATIVE PREDICTION BY MULTIPLE BAYESIAN NETWORKS AND ITS APPLICATION TO PRINTER USAGE MODELING(Bayesian networks and their application)
- Combfit : A Normalization Method for Array CGH Data
- Global genomic and RNA profiles for novel risk stratification of neuroblastoma
- Stochastic resonance with differential code in feedforward network with intra-layer random connections
- Virtual Force/Tactile Sensors for Interactive Machines Using the User's Biological Signals
- The role of short-term depression in sustained neural activity in the prefrontal cortex : A simulation study
- Combfit: A Normalization Method for Array CGH Data
- Combfit: A Normalization Method for Array CGH Data
- Enhancing Probabilistic Appearance-Based Object Tracking with Depth Information : Object Tracking under Occlusion
- Low-Dimensional Feature Representation for Instrument Identification