| scholarly article | Q13442814 |
| P8978 | DBLP publication ID | journals/bmcbi/LinZLCDW13 |
| P6179 | Dimensions Publication ID | 1045793052 |
| P356 | DOI | 10.1186/1471-2105-14-245 |
| P2888 | exact match | https://scigraph.springernature.com/pub.10.1186/1471-2105-14-245 |
| P932 | PMC publication ID | 3751310 |
| P698 | PubMed publication ID | 23937249 |
| P5875 | ResearchGate publication ID | 255787785 |
| P50 | author | Vince D. Calhoun | Q24924339 |
| Hong-Wen Deng | Q37373398 | ||
| P2093 | author name string | Yu-Ping Wang | |
| Dongdong Lin | |||
| Jingyao Li | |||
| Jigang Zhang | |||
| P2860 | cites work | Cross-platform comparison and visualisation of gene expression data using co-inertia analysis | Q24804635 |
| A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis | Q37229908 | ||
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| Comparison of Penalty Functions for Sparse Canonical Correlation Analysis | Q38612260 | ||
| EGFR in melanoma: clinical significance and potential therapeutic target | Q39586032 | ||
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| Glioma invasion in the central nervous system | Q41131785 | ||
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| Correlating multiple SNPs and multiple disease phenotypes: penalized non-linear canonical correlation analysis | Q45141653 | ||
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| Data integration in genetics and genomics: methods and challenges | Q28748990 | ||
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| High-resolution global genomic survey of 178 gliomas reveals novel regions of copy number alteration and allelic imbalances | Q33259264 | ||
| A sparse PLS for variable selection when integrating omics data | Q33388878 | ||
| Sparse canonical methods for biological data integration: application to a cross-platform study. | Q33403099 | ||
| Extensions of sparse canonical correlation analysis with applications to genomic data | Q33477584 | ||
| A CCA+ICA based model for multi-task brain imaging data fusion and its application to schizophrenia | Q33527622 | ||
| Integrative analysis of gene expression and copy number alterations using canonical correlation analysis | Q33557657 | ||
| Using canonical correlation analysis to discover genetic regulatory variants | Q33582156 | ||
| Integrating multiple types of data for signaling research: challenges and opportunities. | Q33821777 | ||
| P53 in human melanoma fails to regulate target genes associated with apoptosis and the cell cycle and may contribute to proliferation | Q33913135 | ||
| Integrating diverse genomic data using gene sets | Q34054123 | ||
| Association screening of common and rare genetic variants by penalized regression | Q34514291 | ||
| Integrative analysis of multiple cancer prognosis studies with gene expression measurements | Q36103350 | ||
| Identification of gene pathways implicated in Alzheimer's disease using longitudinal imaging phenotypes with sparse regression | Q36546976 | ||
| P921 | main subject | canonical correlation analysis | Q115542 |
| data integration | Q386824 | ||
| P304 | page(s) | 245 | |
| P577 | publication date | 2013-08-12 | |
| P1433 | published in | BMC Bioinformatics | Q4835939 |
| P1476 | title | Group sparse canonical correlation analysis for genomic data integration | |
| P478 | volume | 14 |
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