메뉴 건너뛰기




Volumn 8150 LNCS, Issue PART 2, 2013, Pages 625-632

A new sparse simplex model for brain anatomical and genetic network analysis

Author keywords

[No Author keywords available]

Indexed keywords

BIOMEDICAL PROBLEMS; CENTRAL NERVOUS SYSTEMS; GENETIC NETWORKS; NETWORK CONSTRUCTION; NEW APPROACHES; PARAMETER-TUNING; SHIFT INVARIANT; SPATIAL EXPRESSIONS;

EID: 84897569725     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-40763-5_77     Document Type: Conference Paper
Times cited : (14)

References (17)
  • 1
    • 33846252240 scopus 로고    scopus 로고
    • Genome-wide atlas of gene expression in the adult mouse brain
    • Lein, E.S.: Genome-wide atlas of gene expression in the adult mouse brain. Nature 445, 168-176 (2007)
    • (2007) Nature , vol.445 , pp. 168-176
    • Lein, E.S.1
  • 5
    • 60749125717 scopus 로고    scopus 로고
    • An anatomic gene expression atlas of the adult mouse brain
    • Ng, L., et al.: An anatomic gene expression atlas of the adult mouse brain. Nat. Neurosci. 12, 356-362 (2009)
    • (2009) Nat. Neurosci. , vol.12 , pp. 356-362
    • Ng, L.1
  • 6
    • 74149083446 scopus 로고    scopus 로고
    • Clustering of spatial gene expression patterns in the mouse brain and comparison with classical neuroanatomy
    • Bohland, J.W., Bokil, H., Pathak, S.D., Lee, C.K., Ng, L., Lau, C., Kuan, C., Hawrylycz, M., Mitra, P.P.: Clustering of spatial gene expression patterns in the mouse brain and comparison with classical neuroanatomy. Methods 50, 105-112 (2010)
    • (2010) Methods , vol.50 , pp. 105-112
    • Bohland, J.W.1    Bokil, H.2    Pathak, S.D.3    Lee, C.K.4    Ng, L.5    Lau, C.6    Kuan, C.7    Hawrylycz, M.8    Mitra, P.P.9
  • 8
    • 82255194258 scopus 로고    scopus 로고
    • Computational network analysis of the anatomical and genetic organizations in the mouse brain
    • Ji, S.W.: Computational network analysis of the anatomical and genetic organizations in the mouse brain. Bioinformatics 27(23), 3293-3299 (2011)
    • (2011) Bioinformatics , vol.27 , Issue.23 , pp. 3293-3299
    • Ji, S.W.1
  • 9
    • 33747163541 scopus 로고    scopus 로고
    • High-dimensional graphs and variable selection with the Lasso
    • Meinshausen, N., Buhlmann, P.: High-dimensional graphs and variable selection with the Lasso. The Annals of Statistics 34(3), 1436-1462 (2006)
    • (2006) The Annals of Statistics , vol.34 , Issue.3 , pp. 1436-1462
    • Meinshausen, N.1    Buhlmann, P.2
  • 10
    • 82255164574 scopus 로고    scopus 로고
    • Identifying AD-sensitive and cognition-relevant imaging biomarkers via joint classification and regression
    • Fichtinger, G., Martel, A., Peters, T. (eds.) MICCAI 2011, Springer, Heidelberg
    • Wang, H., Nie, F., Huang, H., Risacher, S., Saykin, A.J., Shen, L.: Identifying AD-sensitive and cognition-relevant imaging biomarkers via joint classification and regression. In: Fichtinger, G., Martel, A., Peters, T. (eds.) MICCAI 2011, Part III. LNCS, vol. 6893, pp. 115-123. Springer, Heidelberg (2011)
    • (2011) LNCS , vol.6893 , Issue.PART III , pp. 115-123
    • Wang, H.1    Nie, F.2    Huang, H.3    Risacher, S.4    Saykin, A.J.5    Shen, L.6
  • 11
    • 84862970066 scopus 로고    scopus 로고
    • Identifying quantitative trait loci via group-sparse multitask regression and feature selection: An imaging genetics study of the adni cohort
    • Wang, H., Nie, F.P., Huang, H., Kim, S., Nho, K., Risacher, S., Saykin, A.J., Shen, L.: Identifying quantitative trait loci via group-sparse multitask regression and feature selection: an imaging genetics study of the adni cohort. Bioinformatics 28(2), 229-237 (2012)
    • (2012) Bioinformatics , vol.28 , Issue.2 , pp. 229-237
    • Wang, H.1    Nie, F.P.2    Huang, H.3    Kim, S.4    Nho, K.5    Risacher, S.6    Saykin, A.J.7    Shen, L.8
  • 12
    • 84863509119 scopus 로고    scopus 로고
    • Identifying disease sensitive and quantitative trait-relevant biomarkers from multidimensional heterogeneous imaging genetics data via sparse multimodal multitask learning
    • Wang, H., Nie, F.P., Huang, H., Risacher, S., Saykin, A.J., Shen, L.: Identifying disease sensitive and quantitative trait-relevant biomarkers from multidimensional heterogeneous imaging genetics data via sparse multimodal multitask learning. Bioinformatics 28(12), i127-i136 (2012)
    • (2012) Bioinformatics , vol.28 , Issue.12
    • Wang, H.1    Nie, F.P.2    Huang, H.3    Risacher, S.4    Saykin, A.J.5    Shen, L.6
  • 13
    • 84866458870 scopus 로고    scopus 로고
    • From phenotype to genotype: An association study of longitudinal phenotypic markers to alzheimer's disease relevant SNPs
    • Wang, H., Nie, F.P., Huang, H., Yan, J., Kim, S., Nho, K., Risacher, S., Saykin, A.J., Shen, L.: From phenotype to genotype: an association study of longitudinal phenotypic markers to alzheimer's disease relevant SNPs. Bioinformatics 28(18), i619-i625 (2012)
    • (2012) Bioinformatics , vol.28 , Issue.18
    • Wang, H.1    Nie, F.P.2    Huang, H.3    Yan, J.4    Kim, S.5    Nho, K.6    Risacher, S.7    Saykin, A.J.8    Shen, L.9
  • 14
    • 84877779785 scopus 로고    scopus 로고
    • High-order multi-task feature learning to identify longitudinal phenotypic markers for alzheimer's disease progression prediction
    • Wang, H., Nie, F.P., Huang, H., Yan, J., Kim, S., Risacher, S., Saykin, A.J., Shen, L.: High-order multi-task feature learning to identify longitudinal phenotypic markers for alzheimer's disease progression prediction. In: NIPS, pp. 1286-1294 (2012)
    • (2012) NIPS , pp. 1286-1294
    • Wang, H.1    Nie, F.P.2    Huang, H.3    Yan, J.4    Kim, S.5    Risacher, S.6    Saykin, A.J.7    Shen, L.8
  • 15
    • 34548480020 scopus 로고
    • Method for solving a convex programming problem with convergence rate O (1/k 2)
    • Nesterov, Y.: Method for solving a convex programming problem with convergence rate O (1/k 2) . Soviet Math. Dokl. (2), 372-376 (1983)
    • (1983) Soviet Math. Dokl. , Issue.2 , pp. 372-376
    • Nesterov, Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.