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UnknownTiMEG: an integrative statistical method for partially missing multi-omics data.
Multi-omics data integration is widely used to understand the genetic architecture of disease. In multi-omics association analysis, data collected on multiple omics for the same set of individuals are immensely important for biomarker identification. But when the sample size of such data is limited,...
S-EPMC8674330 | biostudies-literature
UnknownTight clustering for large datasets with an application to gene expression data.
This article proposes a practical and scalable version of the tight clustering algorithm. The tight clustering algorithm provides tight and stable relevant clusters as output while leaving a set of points as noise or scattered points, that would not go into any cluster. However, the computational li...
S-EPMC6395712 | biostudies-literature
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