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
- 2019.1
- 수록면
- 547 - 555 (9page)
이용수
초록· 키워드
오류제보하기
Background Simultaneous measurement of gene expression level for thousands of genes contains the rich information about many different aspects of biological mechanisms. A major computational challenge is to find methods to extract new biological insights from this wealth of data. Complex biological processes are often regulated under the various conditions or circumstances and associated gene interactions are dynamically changed depending on different biological contexts. Thus, inference of such dynamic relationships between genes with consideration of biological conditions is very challenging. Method In this study, we propose a comprehensive and integrated approach to infer the dynamic relationships between genes and evaluate this approach on three distinct gene networks. Results This study demonstrates the advantage of integrating Markov chain Monte Carlo (MCMC) simulation into a Bayesian mixture model to overcome the high-dimension, low sample size (HDLSS) problem as well as to identify context-specific biological modules. Such biological modules were identified through the summarization of sampled network structures obtained from MCMC simulation. Conclusion This novel approach gives a comprehensive understanding of the dynamically regulated biological modules.
목차
등록된 정보가 없습니다.
참고문헌 (39)
참고문헌 신청
Agrawal R / 1994 / Fast algorithms for mining association rules in large databases / Proceedings of the 20th international conference on very large data bases (VLDB) :487~499
Agrawal R / 1993 / Mining association rules between sets of items in large databases / Proceedings of the 1993 ACM SIGMOD international conference on management of data (SIGMOD) :207~216
Bar-Joseph Z / 2003 / Computational discovery of gene modules and regulatory networks / Nat Biotechnol 21:1337~1342
Burdick D / 2005 / MAFIA : a maximal frequent itemset algorithm / IEEE Trans Knowl Data Eng 17:1490~1504
Butte AJ / 2000 / Mutual information relevance networks:functional genomic clustering using pairwise entropy measurements / Proceedings of pacific symposium on biocomputing (PSB) 5:415~426
Agrawal R / 1993 / Mining association rules between sets of items in large databases / Proceedings of the 1993 ACM SIGMOD international conference on management of data (SIGMOD) :207~216
Bar-Joseph Z / 2003 / Computational discovery of gene modules and regulatory networks / Nat Biotechnol 21:1337~1342
Burdick D / 2005 / MAFIA : a maximal frequent itemset algorithm / IEEE Trans Knowl Data Eng 17:1490~1504
Butte AJ / 2000 / Mutual information relevance networks:functional genomic clustering using pairwise entropy measurements / Proceedings of pacific symposium on biocomputing (PSB) 5:415~426
함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
Construction of Synaptic Neural Network for Genetic Interaction Analysis
Journal of The Korean Data Analysis Society
2021 .08
-
The SnRK2 family in pepper (Capsicum annuum L.): genome-wide identifcation and expression analyses during fruit development and under abiotic stress
Genes & Genomics
2020 .01
-
Genome-wide identification, characterisation and expression profile analysis of DEAD-box family genes in sweet potato wild ancestor Ipomoea trifida under abiotic stresses
Genes & Genomics
2020 .01
-
In silico markers: an evolutionary and statistical approach to select informative genes of human breast cancer subtypes
Genes & Genomics
2019 .01
-
Bayesian pattern mixture model under nonignorable nonresponse for binary data
한국데이터정보과학회지
2019 .07
-
The Comparison Study on Dose Distribution of 6He and 4He Ion Beams
새물리
2021 .02
-
Enhancing performance of gene expression value prediction with cluster-based regression
Genes & Genomics
2021 .09
-
Comparison of covariance thresholding methods in gene set analysis
CSAM(Communications for Statistical Applications and Methods)
2022 .09
-
The Construction of Regulatory Network for Insulin-Mediated Genes by Integrating Methods Based on Transcription Factor Binding Motifs and Gene Expression Variations
Genomics & informatics
2015 .01
-
Grid-based Gaussian process models for longitudinal genetic data
CSAM(Communications for Statistical Applications and Methods)
2022 .01
-
Identifying differentially expressed genes using the Polya urn scheme
CSAM(Communications for Statistical Applications and Methods)
2017 .11
-
Genomic Insights into the Rice Blast Fungus through Estimation of Gene Emergence Time in Phylogenetic Context
Mycobiology
2018 .01
-
Optimization of the Diverging Collimator for Thyroid Cancer Treatment Room Monitoring with 131I Isotopes Using Monte Carlo Simulation
한국자기학회 학술연구발표회 논문개요집
2020 .11
-
Keeping house: evaluation of housekeeping genes for real-time PCR in the red alga, Bostrychia moritziana (Florideophyceae)
Algae
2016 .01
-
NGSEA: Network-Based Gene Set Enrichment Analysis for Interpreting Gene Expression Phenotypes with Functional Gene Sets
Molecules and Cells
2019 .01
-
Applying a modified AUC to gene ranking
CSAM(Communications for Statistical Applications and Methods)
2018 .05
-
Stability evaluation of national biological reference standards in Korea
한국분석과학회 학술대회
2017 .11
-
Genome-wide association analysis reveals the genetic locus for high reproduction trait in Chinese Arbas Cashmere goat
Genes & Genomics
2020 .01
-
Result of Korean proficiency test program for biological monitoring in 2015
한국분석과학회 학술대회
2015 .05
이 논문의 저자 정보
최근 본 자료
댓글(0)
0