지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2015.1
- 수록면
- 525 - 535 (11page)
이용수
초록· 키워드
오류제보하기
A disease can be characterized by various attributes such as genomic, epigenetic, and transcriptomic features beyond physiological symptoms. The accumulation of vast datasets allows us to investigate the relative effectiveness of each omics data and their combinations for in silico analysis of diseases. Here, we employed a classification method with the well-established measure of information gain for the computational analysis of the effect of the aggregation of omics data, especially for the task of in silico classification of tumor-normal samples for bladder urothelial carcinoma and kidney renal papillary cell carcinoma. We observed that the combination of multi-omics data such as copy number variation, DNA methylation, RNA-Seq, and somatic mutations have beneficial effects. The quantitative analysis using information gain and various measures for classification-performance showed that the combination of multiple omics data improved the performance in general. The qualitative analysis referring previous researches also confirmed the relevance of genes with higher information gain to target diseases. Our results report that the combination of multiple omics data is beneficial and the information gain which focuses on the distribution of attributes across target domains could be useful as an indicator of the effect of each omics data on tumor-normal sample classification.
목차
등록된 정보가 없습니다.
참고문헌 (58)
참고문헌 신청
Alexandrov LB / 2014 / Mutational signatures: the patterns of somatic mutations hidden in cancer genomes / Curr Opin Genet Dev 24:52~60
Beleut M / 2012 / Integrative genome-wide expression profiling identifies three distinct molecular subgroups of renal cell carcinoma with different patient outcome / BMC Cancer 12:310
Bibikova M / 2011 / High density DNA methylation array with single CpG site resolution / Genomics 98:288~295
Cancer Genome Atlas Research Network / 2008 / Comprehensive genomic characterization defines human glioblastoma genes and core pathways / Nature 455:1061~1068
Cancer Genome Atlas Research Network / 2011 / Integrated genomic analyses of ovarian carcinoma / Nature 474:609~615
Beleut M / 2012 / Integrative genome-wide expression profiling identifies three distinct molecular subgroups of renal cell carcinoma with different patient outcome / BMC Cancer 12:310
Bibikova M / 2011 / High density DNA methylation array with single CpG site resolution / Genomics 98:288~295
Cancer Genome Atlas Research Network / 2008 / Comprehensive genomic characterization defines human glioblastoma genes and core pathways / Nature 455:1061~1068
Cancer Genome Atlas Research Network / 2011 / Integrated genomic analyses of ovarian carcinoma / Nature 474:609~615
함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
Integrative Multi-Omics Approaches in Cancer Research: From Biological Networks to Clinical Subtypes
Molecules and Cells
2021 .01
-
Translational genomics and multi-omics integrated approaches as a useful strategy for crop breeding
Genes & Genomics
2019 .01
-
Novel strategies for biomarker screening using multiple omics analysis
한국분석과학회 학술대회
2023 .11
-
Single-Cell Sequencing in Cancer: Recent Applications to Immunogenomics and Multi-omics Tools
Genomics & informatics
2018 .01
-
Multi-omics analysis for controlling infectious diseases in response to environmental changes in aquatic animals
한국분석과학회 학술대회
2020 .06
-
Development of Universal Sample Preparation Method for Glyco-Omics Studies
한국분석과학회 학술대회
2018 .05
-
Investigation of Interaction between Red-algae Host and Core Microbes through Omics Approaches
한국미생물학회 학술대회논문집
2021 .08
-
Trends in Advanced Marine Omics Technologies and the Potential of Marine Glycomics
한국해양바이오학회지
2024 .12
-
Analysis of Functional Roles of Airway Microbiome in Childhood Asthma Using In Vitro System and Multi-omics
한국미생물학회 학술대회논문집
2020 .10
-
Q-omics: Smart Software for Assisting Oncology and Cancer Research
Molecules and Cells
2021 .11
-
남조류의 생리·생태 연구에서 분자생태유전학적 기법의 역할 및 전망
생태와 환경
2018 .01
-
Comprehensive phenotyping and multi-omic profiling in the toxicity assessment of nanopolystyrene with different surface properties
한국분석과학회 학술대회
2022 .05
-
Adaptive Engineering of a Hyperthermophilic Archaeon on CO and Discovering the Underlying Mechanism by Multi-omics Analysis
한국미생물학회 학술대회논문집
2016 .04
-
Multi-Omics Study Reveals Disrupted Common Pathways in Caco-2 Cells and C. elegans Exposed to OPFRs
한국분석과학회 학술대회
2024 .11
-
ToF-SIMS protein imaging with metal oxide nanoparticles tagged antibody for simultaneous omic imaging
한국진공학회 학술발표회초록집
2016 .08
-
Multi-Omics Study Reveals Large Alterations of Breast Cancer Lipidome in Spheroid-Induced Epithelial-Mesenchymal Transition Model
한국분석과학회 학술대회
2022 .05
-
Integrative Multi-omics Profiling Reveals cAMP-independent Mechanisms Regulating Hyphal Morphogenesis in Candida albicans
한국미생물학회 학술대회논문집
2021 .08
-
A Novel Compact Multi-reflecting Time-of-Flight Mass Spectrometer, Xevo MRT introduction and its new platform for high throughput Omics
한국분석과학회 학술대회
2024 .11
-
Co-Inertia analysis for multi-omics data with FDR control via SLOPE
CSAM(Communications for Statistical Applications and Methods)
2025 .01
-
Deciphering the Core Metabolites of Fanconi Anemia by Using a Multi-Omics Composite Network
Journal of Microbiology and Biotechnology
2022 .03
이 논문의 저자 정보
최근 본 자료
댓글(0)
0