156 related articles for article (PubMed ID: 28482123)
41. Generalized Bayesian Factor Analysis for Integrative Clustering with Applications to Multi-Omics Data.
Min EJ; Chang C; Long Q
Proc Int Conf Data Sci Adv Anal; 2018 Oct; 2018():109-119. PubMed ID: 31106307
[TBL] [Abstract][Full Text] [Related]
42. Integrative Analysis of Metabolome and Transcriptome Provides Insights into the Mechanism of Flower Induction in Pineapple (
Lin W; Liu S; Xiao X; Sun W; Lu X; Gao Y; He J; Zhu Z; Wu Q; Zhang X
Int J Mol Sci; 2023 Dec; 24(24):. PubMed ID: 38138962
[TBL] [Abstract][Full Text] [Related]
43. A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis.
Witten DM; Tibshirani R; Hastie T
Biostatistics; 2009 Jul; 10(3):515-34. PubMed ID: 19377034
[TBL] [Abstract][Full Text] [Related]
44. Structured and Sparse Canonical Correlation Analysis as a Brain-Wide Multi-Modal Data Fusion Approach.
Mohammadi-Nejad AR; Hossein-Zadeh GA; Soltanian-Zadeh H
IEEE Trans Med Imaging; 2017 Jul; 36(7):1438-1448. PubMed ID: 28320654
[TBL] [Abstract][Full Text] [Related]
45. Transcriptomic and Metabolomic Analysis of Liver Cirrhosis.
Kuang X; Li J; Xu Y; Yang L; Liu X; Yang J; Tai W
Comb Chem High Throughput Screen; 2024; 27(6):922-932. PubMed ID: 37461343
[TBL] [Abstract][Full Text] [Related]
46. Stability test of canonical correlation analysis for studying brain-behavior relationships: The effects of subject-to-variable ratios and correlation strengths.
Yang Q; Zhang X; Song Y; Liu F; Qin W; Yu C; Liang M
Hum Brain Mapp; 2021 Jun; 42(8):2374-2392. PubMed ID: 33624333
[TBL] [Abstract][Full Text] [Related]
47. Canonical correlation analysis for multilabel classification: a least-squares formulation, extensions, and analysis.
Sun L; Ji S; Ye J
IEEE Trans Pattern Anal Mach Intell; 2011 Jan; 33(1):194-200. PubMed ID: 20733223
[TBL] [Abstract][Full Text] [Related]
48. Simultaneous Polar Metabolite and N-Glycan Extraction Workflow for Joint-Omics Analysis: A Synergistic Approach for Novel Insights into Diseases.
Lim SY; Ng BH; Vermulapalli D; Lau H; Carrasco Laserna AK; Yang X; Tan SH; Chan MY; Li SFY
J Proteome Res; 2022 Mar; 21(3):643-653. PubMed ID: 35073107
[TBL] [Abstract][Full Text] [Related]
49. Canonical Correlation Analysis of Imaging Genetics Data Based on Statistical Independence and Structural Sparsity.
Zhang Y; Peng P; Ju Y; Li G; Calhoun VD; Wang YP
IEEE J Biomed Health Inform; 2020 Sep; 24(9):2621-2629. PubMed ID: 32071012
[TBL] [Abstract][Full Text] [Related]
50. Sparse overlapping group lasso for integrative multi-omics analysis.
Park H; Niida A; Miyano S; Imoto S
J Comput Biol; 2015 Feb; 22(2):73-84. PubMed ID: 25629319
[TBL] [Abstract][Full Text] [Related]
51. TOSCCA: a framework for interpretation and testing of sparse canonical correlations.
Senar N; van de Wiel M; Zwinderman AH; Hof MH
Bioinform Adv; 2024; 4(1):vbae021. PubMed ID: 38456127
[TBL] [Abstract][Full Text] [Related]
52. Metabolomic and Transcriptomic Analysis of MCF-7 Cells Exposed to 23 Chemicals at Human-Relevant Levels: Estimation of Individual Chemical Contribution to Effects.
Liu M; Jia S; Dong T; Zhao F; Xu T; Yang Q; Gong J; Fang M
Environ Health Perspect; 2020 Dec; 128(12):127008. PubMed ID: 33325755
[TBL] [Abstract][Full Text] [Related]
53. Transcriptomic and targeted metabolomic analysis identifies genes and metabolites involved in anthocyanin accumulation in tuberous roots of sweetpotato (Ipomoea batatas L.).
He L; Liu X; Liu S; Zhang J; Zhang Y; Sun Y; Tang R; Wang W; Cui H; Li R; Zhu H; Jia X
Plant Physiol Biochem; 2020 Nov; 156():323-332. PubMed ID: 32998099
[TBL] [Abstract][Full Text] [Related]
54. Nicotiana attenuata Data Hub (NaDH): an integrative platform for exploring genomic, transcriptomic and metabolomic data in wild tobacco.
Brockmöller T; Ling Z; Li D; Gaquerel E; Baldwin IT; Xu S
BMC Genomics; 2017 Jan; 18(1):79. PubMed ID: 28086860
[TBL] [Abstract][Full Text] [Related]
55. Topological analysis of metabolic networks integrating co-segregating transcriptomes and metabolomes in type 2 diabetic rat congenic series.
Dumas ME; Domange C; Calderari S; Martínez AR; Ayala R; Wilder SP; Suárez-Zamorano N; Collins SC; Wallis RH; Gu Q; Wang Y; Hue C; Otto GW; Argoud K; Navratil V; Mitchell SC; Lindon JC; Holmes E; Cazier JB; Nicholson JK; Gauguier D
Genome Med; 2016 Sep; 8(1):101. PubMed ID: 27716393
[TBL] [Abstract][Full Text] [Related]
56. Statistical Integration of 'Omics Data Increases Biological Knowledge Extracted from Metabolomics Data: Application to Intestinal Exposure to the Mycotoxin Deoxynivalenol.
Tremblay-Franco M; Canlet C; Pinton P; Lippi Y; Gautier R; Naylies C; Neves M; Oswald IP; Debrauwer L; Alassane-Kpembi I
Metabolites; 2021 Jun; 11(6):. PubMed ID: 34205708
[TBL] [Abstract][Full Text] [Related]
57. Integrative multi-view regression: Bridging group-sparse and low-rank models.
Li G; Liu X; Chen K
Biometrics; 2019 Jun; 75(2):593-602. PubMed ID: 30456759
[TBL] [Abstract][Full Text] [Related]
58. Integrative analysis of multi-omics and imaging data with incorporation of biological information via structural Bayesian factor analysis.
Bao J; Chang C; Zhang Q; Saykin AJ; Shen L; Long Q;
Brief Bioinform; 2023 Mar; 24(2):. PubMed ID: 36882008
[TBL] [Abstract][Full Text] [Related]
59. Sparse canonical correlation analysis with application to genomic data integration.
Parkhomenko E; Tritchler D; Beyene J
Stat Appl Genet Mol Biol; 2009; 8():Article 1. PubMed ID: 19222376
[TBL] [Abstract][Full Text] [Related]
60. A Projection CCA Method for Effective fMRI Data Analysis.
Qadar MA; Seghouane AK
IEEE Trans Biomed Eng; 2019 Nov; 66(11):3247-3256. PubMed ID: 30843795
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
