메뉴 건너뛰기




Volumn 30, Issue 12, 2014, Pages

Graph-regularized dual Lasso for robust eQTL mapping

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; CHROMOSOME MAP; CLUSTER ANALYSIS; GENE EXPRESSION; GENE REGULATORY NETWORK; GENETIC MARKER; GENETICS; METABOLISM; PROTEIN ANALYSIS; QUANTITATIVE TRAIT LOCUS; SACCHAROMYCES CEREVISIAE; SINGLE NUCLEOTIDE POLYMORPHISM; STATISTICAL MODEL;

EID: 84902441107     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btu293     Document Type: Article
Times cited : (35)

References (28)
  • 1
    • 33744547243 scopus 로고    scopus 로고
    • Artificial neural network for the joint modelling of discrete cause-specific hazards
    • Biganzoli, E.M. et al. (2006) Artificial neural network for the joint modelling of discrete cause-specific hazards. Artif. Intell. Med., 37, 119-130.
    • (2006) Artif. Intell. Med. , vol.37 , pp. 119-130
    • Biganzoli, E.M.1
  • 2
    • 0037379691 scopus 로고    scopus 로고
    • New technologies to assess genotype henotype relationships
    • Bochner, B.R. (2003) New technologies to assess genotype henotype relationships. Nat. Rev. Genet., 4, 309-314.
    • (2003) Nat. Rev. Genet. , vol.4 , pp. 309-314
    • Bochner, B.R.1
  • 4
    • 23644434284 scopus 로고    scopus 로고
    • Genetic interactions between polymorphisms that affect gene expression in yeast
    • Brem, R.B. et al. (2005) Genetic interactions between polymorphisms that affect gene expression in yeast. Nature, 436, 701-703.
    • (2005) Nature , vol.436 , pp. 701-703
    • Brem, R.B.1
  • 5
    • 0042856391 scopus 로고    scopus 로고
    • Trans-acting regulatory variation in Saccharomyces cerevi-siae and the role of transcription factors
    • Brem, Y.G. et al. (2003) Trans-acting regulatory variation in Saccharomyces cerevi-siae and the role of transcription factors. Nat. Genet., 35, 57-64.
    • (2003) Nat. Genet. , vol.35 , pp. 57-64
    • Brem, Y.G.1
  • 6
    • 34249041230 scopus 로고    scopus 로고
    • Exploring genetic interactions and networks with yeast
    • Charles Boone, H.B. and Andrews, B.J. (2007) Exploring genetic interactions and networks with yeast. Nat. Rev. Genet., 8, 437C449.
    • (2007) Nat. Rev. Genet. , vol.8
    • Charles Boone, H.B.1    Andrews, B.J.2
  • 7
    • 84899766043 scopus 로고    scopus 로고
    • A two-graph guided multi-task lasso approach for eqtl mapping
    • La Palma, Canary Islands
    • Chen, X. et al. (2012) A two-graph guided multi-task lasso approach for eqtl mapping. In AISTATS, pp. 208-217. La Palma, Canary Islands.
    • (2012) AISTATS , pp. 208-217
    • Chen, X.1
  • 8
    • 0003882879 scopus 로고    scopus 로고
    • Spectral graph theory (reprinted with corrections)
    • Published for the Conference Board of the Mathematical Sciences, Washington, DC
    • Chung, F.R.K. (1997) Spectral graph theory (reprinted with corrections). In: CBMS: Conference Board of the Mathematical Sciences, Regional Conference Series. Vol. 92, Published for the Conference Board of the Mathematical Sciences, Washington, DC.
    • (1997) CBMS: Conference Board of the Mathematical Sciences, Regional Conference Series. , vol.92
    • Chung, F.R.K.1
  • 9
    • 33749575326 scopus 로고    scopus 로고
    • Orthogonal nonnegative matrix t-factorizations for clustering
    • ACM, New York
    • Ding, C. et al. (2006) Orthogonal nonnegative matrix t-factorizations for clustering. In KDD, ACM, New York, pp. 126-135.
    • (2006) KDD , pp. 126-135
    • Ding, C.1
  • 10
    • 84871617105 scopus 로고    scopus 로고
    • Convex and semi-nonnegative matrix factorizations
    • Ding, C.H.Q. et al. (2010) Convex and semi-nonnegative matrix factorizations. IEEE Trans. Pattern Anal. Mach. Intell., 32, 45-55.
    • (2010) IEEE Trans. Pattern Anal. Mach. Intell. , vol.32 , pp. 45-55
    • Ding, C.H.Q.1
  • 11
    • 61449172037 scopus 로고    scopus 로고
    • Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources
    • Huang, D.A.W. et al. (2009) Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nat. Protoc., 4, 44-57.
    • (2009) Nat. Protoc. , vol.4 , pp. 44-57
    • Huang, D.A.W.1
  • 12
    • 80555129673 scopus 로고    scopus 로고
    • Structured variable selection with sparsity-inducing norms
    • Jenatton, R. et al. (2011) Structured variable selection with sparsity-inducing norms. JMLR, 12, 2777-2824.
    • (2011) JMLR , vol.12 , pp. 2777-2824
    • Jenatton, R.1
  • 13
    • 70149098541 scopus 로고    scopus 로고
    • Statistical estimation of correlated genome associations to a quantitative trait network
    • Kim, S. and Xing, E.P. (2009) Statistical estimation of correlated genome associations to a quantitative trait network. PLoS Genet., 5, e1000587.
    • (2009) PLoS Genet. , vol.5
    • Kim, S.1    Xing, E.P.2
  • 14
    • 84870038047 scopus 로고    scopus 로고
    • Tree-guided group lasso for multi-response regression with structured sparsity, with applications to eQTL mapping
    • Kim, S. and Xing, E.P. (2012) Tree-guided group lasso for multi-response regression with structured sparsity, with applications to eQTL mapping. Ann. Appl. Stat., 6, 1095-1117.
    • (2012) Ann. Appl. Stat. , vol.6 , pp. 1095-1117
    • Kim, S.1    Xing, E.P.2
  • 15
    • 79951481957 scopus 로고    scopus 로고
    • Initial impact of the sequencing of the human genome
    • Lander, E.S. (2011) Initial impact of the sequencing of the human genome. Nature, 470, 187-197.
    • (2011) Nature , vol.470 , pp. 187-197
    • Lander, E.S.1
  • 16
    • 0001093042 scopus 로고    scopus 로고
    • Algorithms for non-negative matrix factorization
    • Lee, D.D. and Seung, H.S. (2000) Algorithms for non-negative matrix factorization. NIPS, 13, 556-562.
    • (2000) NIPS , vol.13 , pp. 556-562
    • Lee, D.D.1    Seung, H.S.2
  • 17
    • 84863505275 scopus 로고    scopus 로고
    • Leveraging input and output structures for joint mapping of epistatic and marginal eQTLs
    • Lee, S. and Xing, E.P. (2012) Leveraging input and output structures for joint mapping of epistatic and marginal eQTLs. Bioinformatics, 28, i137-i146.
    • (2012) Bioinformatics , vol.28
    • Lee, S.1    Xing, E.P.2
  • 18
    • 85162048536 scopus 로고    scopus 로고
    • Adaptive multi-task lasso: With application to eQTL detection
    • Vancouver, British Columbia, Canada
    • Lee, S. et al. (2010) Adaptive multi-task lasso: with application to eQTL detection. NIPS, pp. 1306-1314, Vancouver, British Columbia, Canada.
    • (2010) NIPS , pp. 1306-1314
    • Lee, S.1
  • 19
    • 42649140560 scopus 로고    scopus 로고
    • Network-constrained regularization and variable selection for analysis of genomic data
    • Li, C. and Li, H. (2008) Network-constrained regularization and variable selection for analysis of genomic data. Bioinformatics, 24, 1175-1182.
    • (2008) Bioinformatics , vol.24 , pp. 1175-1182
    • Li, C.1    Li, H.2
  • 20
    • 78049312702 scopus 로고    scopus 로고
    • Correction for hidden confounders in the genetic analysis of gene expression
    • Listgarten, J. et al. (2010) Correction for hidden confounders in the genetic analysis of gene expression. Proc. Natl Acad. Sci. USA., 107, 16465-16470.
    • (2010) Proc. Natl Acad. Sci. USA. , vol.107 , pp. 16465-16470
    • Listgarten, J.1
  • 21
    • 77956944781 scopus 로고    scopus 로고
    • Spectral regularization algorithms for learning large incomplete matrices
    • Mazumder, R. et al. (2010) Spectral regularization algorithms for learning large incomplete matrices. JMLR, 11, 2287-2322.
    • (2010) JMLR , vol.11 , pp. 2287-2322
    • Mazumder, R.1
  • 22
    • 67649867440 scopus 로고    scopus 로고
    • Detection and interpretation of expression quantitative trait loci (eQTL)
    • Michaelson, J. et al. (2009) Detection and interpretation of expression quantitative trait loci (eQTL). Methods, 48, 265-276.
    • (2009) Methods , vol.48 , pp. 265-276
    • Michaelson, J.1
  • 23
    • 33847059518 scopus 로고    scopus 로고
    • Detection of gene x gene interactions in genome-wide association studies of human population data
    • Musani, S.K. et al. (2007) Detection of gene x gene interactions in genome-wide association studies of human population data. Hum. Hered., 63, 67-84.
    • (2007) Hum. Hered. , vol.63 , pp. 67-84
    • Musani, S.K.1
  • 24
    • 34948865158 scopus 로고    scopus 로고
    • Technical report 709. Statistics Department, University of California, Berkeley
    • Obozinski, G. and Taskar, B. (2006) Multi-task feature selection. Technical report 709. Statistics Department, University of California, Berkeley.
    • (2006) Multi-task Feature Selection
    • Obozinski, G.1    Taskar, B.2
  • 25
    • 35349024501 scopus 로고    scopus 로고
    • Network modeling links breast cancer susceptibility and centrosome dysfunction
    • Pujana, M.A. et al. (2007) Network modeling links breast cancer susceptibility and centrosome dysfunction. Nat. Genet., 39, 1338-1349.
    • (2007) Nat. Genet. , vol.39 , pp. 1338-1349
    • Pujana, M.A.1
  • 26
    • 85194972808 scopus 로고    scopus 로고
    • Regression shrinkage and selection via the lasso
    • Tibshirani, R. (1996) Regression shrinkage and selection via the lasso. J. Royal. Statist. Soc. B, 58, 267-288.
    • (1996) J. Royal. Statist. Soc. B , vol.58 , pp. 267-288
    • Tibshirani, R.1
  • 27
    • 0037161731 scopus 로고    scopus 로고
    • Comparative assessment of large-scale data sets of protein-protein interactions
    • von Mering, C. et al. (2002) Comparative assessment of large-scale data sets of protein-protein interactions. Nature, 417, 399-403.
    • (2002) Nature , vol.417 , pp. 399-403
    • Von Mering, C.1
  • 28
    • 84876251470 scopus 로고    scopus 로고
    • Accounting for non-genetic factors by low-rank representation and sparse regression for eQTL mapping
    • Yang, C. et al. (2013) Accounting for non-genetic factors by low-rank representation and sparse regression for eQTL mapping. Bioinformatics, 29, 1026-1034.
    • (2013) Bioinformatics , vol.29 , pp. 1026-1034
    • Yang, C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.