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Author Details

Kefei Liu
Suzhou Institute for Advanced Research, University of Science and Technology of China
2016
25
10
PMIDPaper TitleJournal TitlePublished Year
37507059Preference matrix guided sparse canonical correlation analysis for mining brain imaging genetic associations in Alzheimer's disease.Methods2023
34871929Multi-task learning based structured sparse canonical correlation analysis for brain imaging genetics.Med Image Anal2022
36845995Preference Matrix Guided Sparse Canonical Correlation Analysis for Genetic Study of Quantitative Traits in Alzheimer's Disease.Proceedings (IEEE Int Conf Bioinformatics Biomed)2022
36175853Deep multiview learning to identify imaging-driven subtypes in mild cognitive impairment.BMC Bioinformatics2022
31634139Multi-Task Sparse Canonical Correlation Analysis with Application to Multi-Modal Brain Imaging Genetics.IEEE/ACM Trans Comput Biol Bioinform2021
33848962A structural enriched functional network: An application to predict brain cognitive performance.Med Image Anal2021
33936415Polygenic mediation analysis of Alzheimer's disease implicated intermediate amyloid imaging phenotypes.AMIA Annu Symp Proc2021
32657360Identifying diagnosis-specific genotype-phenotype associations via joint multitask sparse canonical correlation analysis and classification.Bioinformatics2020
33654579Deep Multiview Learning to Identify Population Structure with Multimodal Imaging.Proc IEEE Int Symp Bioinformatics Bioeng2020
34766171Structural Connectivity Enriched Functional Brain Network using Simplex Regression with GraphNet.Mach Learn Med Imaging2020
32062154Detecting genetic associations with brain imaging phenotypes in Alzheimer's disease via a novel structured SCCA approach.Med Image Anal2020
32746095Associating Multi-Modal Brain Imaging Phenotypes and Genetic Risk Factors via a Dirty Multi-Task Learning Method.IEEE Trans Med Imaging2020
31510645Identifying progressive imaging genetic patterns via multi-task sparse canonical correlation analysis: a longitudinal study of the ADNI cohort.Bioinformatics2019
31844486DIAGNOSIS STATUS GUIDED BRAIN IMAGING GENETICS VIA INTEGRATED REGRESSION AND SPARSE CANONICAL CORRELATION ANALYSIS.Proc IEEE Int Symp Biomed Imaging2019
31787074Joint between-sample normalization and differential expression detection through â¿¿<sub>0</sub>-regularized regression.BMC Bioinformatics2019
29993952A Unified Model for Joint Normalization and Differential Gene Expression Detection in RNA-Seq Data.IEEE/ACM Trans Comput Biol Bioinform2019
28968815A novel SCCA approach via truncated â¿¿1-norm and truncated group lasso for brain imaging genetics.Bioinformatics2018
30881731Fast Multi-Task SCCA Learning with Feature Selection for Multi-Modal Brain Imaging Genetics.Proceedings (IEEE Int Conf Bioinformatics Biomed)2018
30271529JOINT EXPLORATION AND MINING OF MEMORY-RELEVANT BRAIN ANATOMIC AND CONNECTOMIC PATTERNS VIA A THREE-WAY ASSOCIATION MODEL.Proc IEEE Int Symp Biomed Imaging2018
28575147Tissue-specific network-based genome wide study of amygdala imaging phenotypes to identify functional interaction modules.Bioinformatics2017
30294724Transcriptome-Guided Imaging Genetic Analysis via a Novel Sparse CCA Algorithm.Graphs Biomed Image Anal Comput Anat Imaging Genet (2017)2017
28867917Identifying Associations Between Brain Imaging Phenotypes and Genetic Factors via A Novel Structured SCCA Approach.Inf Process Med Imaging2017
28848302Predicting Interrelated Alzheimer's Disease Outcomes via New Self-Learned Structured Low-Rank Model.Inf Process Med Imaging2017
29070790Pattern Discovery in Brain Imaging Genetics via SCCA Modeling with a Generic Non-convex Penalty.Sci Rep2017
28989812Sparse Canonical Correlation Analysis via Truncated <i>â¿¿</i><sub>1</sub>-norm with Application to Brain Imaging Genetics.Proceedings (IEEE Int Conf Bioinformatics Biomed)2016
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Co-authored papers 1