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Low-Rank Graph-Regularized Structured Sparse Regression for Identifying Genetic Biomarkers
In this paper, we propose a novel sparse regression method for Brain-Wide and Genome-Wide association study. Specifically, we impose a low-rank constraint on the weight coefficient matrix and then decompose it into two low-rank matrices, which find relationships in genetic features and in brain imag...
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| 出版年: | IEEE Trans Big Data |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2017
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5929142/ https://ncbi.nlm.nih.gov/pubmed/29725610 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TBDATA.2017.2735991 |
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