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Cited by in F6Publishing
For: Du L, Liu F, Liu K, Yao X, Risacher SL, Han J, Guo L, Saykin AJ, Shen L; Alzheimer’s Disease Neuroimaging Initiative. Identifying diagnosis-specific genotype-phenotype associations via joint multitask sparse canonical correlation analysis and classification. Bioinformatics 2020;36:i371-9. [PMID: 32657360 DOI: 10.1093/bioinformatics/btaa434] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 5.0] [Reference Citation Analysis]
Number Citing Articles
1 Xin Y, Sheng J, Miao M, Wang L, Yang Z, Huang H. A review ofimaging genetics in Alzheimer's disease. J Clin Neurosci 2022;100:155-63. [PMID: 35487021 DOI: 10.1016/j.jocn.2022.04.017] [Reference Citation Analysis]
2 Bi XA, Li L, Wang Z, Wang Y, Luo X, Xu L. IHGC-GAN: influence hypergraph convolutional generative adversarial network for risk prediction of late mild cognitive impairment based on imaging genetic data. Brief Bioinform 2022:bbac093. [PMID: 35348583 DOI: 10.1093/bib/bbac093] [Reference Citation Analysis]
3 Ke F, Kong W, Wang S. Identifying Imaging Genetics Biomarkers of Alzheimer's Disease by Multi-Task Sparse Canonical Correlation Analysis and Regression. Front Genet 2021;12:706986. [PMID: 34422007 DOI: 10.3389/fgene.2021.706986] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 McPherson BC, Pestilli F. A single mode of population covariation associates brain networks structure and behavior and predicts individual subjects' age. Commun Biol 2021;4:943. [PMID: 34354185 DOI: 10.1038/s42003-021-02451-0] [Reference Citation Analysis]
5 Du L, Zhang J, Liu F, Wang H, Guo L, Han J, Disease Neuroimaging Initiative TA. Identifying associations among genomic, proteomic and imaging biomarkers via adaptive sparse multi-view canonical correlation analysis. Med Image Anal 2021;70:102003. [PMID: 33735757 DOI: 10.1016/j.media.2021.102003] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Wei K, Kong W, Wang S. An Improved Multi-Task Sparse Canonical Correlation Analysis of Imaging Genetics for Detecting Biomarkers of Alzheimer’s Disease. IEEE Access 2021;9:30528-38. [DOI: 10.1109/access.2021.3059520] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 4.0] [Reference Citation Analysis]
7 Du L, Liu F, Liu K, Yao X, Risacher SL, Han J, Saykin AJ, Shen L. Associating Multi-Modal Brain Imaging Phenotypes and Genetic Risk Factors via a Dirty Multi-Task Learning Method. IEEE Trans Med Imaging 2020;39:3416-28. [PMID: 32746095 DOI: 10.1109/TMI.2020.2995510] [Cited by in Crossref: 3] [Article Influence: 1.5] [Reference Citation Analysis]