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Multimodal omics

Xem 1-4 trên 4 kết quả Multimodal omics
  • A growing number of single-cell sequencing platforms enable joint profiling of multiple omics from the same cells. We present Cobolt, a novel method that not only allows for analyzing the data from joint-modality platforms, but provides a coherent framework for the integration of multiple datasets measured on different modalities.

    pdf21p viarchimedes 26-01-2022 16 0   Download

  • Emerging single-cell technologies profile multiple types of molecules within individual cells. A fundamental step in the analysis of the produced high-dimensional data is their visualization using dimensionality reduction techniques such as t-SNE and UMAP.

    pdf9p viarchimedes 26-01-2022 16 0   Download

  • Gene Set Enrichment Analysis (GSEA) is a powerful tool to identify enriched functional categories of informative biomarkers. Canonical GSEA takes one-dimensional feature scores derived from the data of one platform as inputs.

    pdf22p vicoachella2711 27-10-2020 31 1   Download

  • During the last decade, there has been a surge towards computational drug repositioning owing to constantly increasing -omics data in the biomedical research field. While numerous existing methods focus on the integration of heterogeneous data to propose candidate drugs, it is still challenging to substantiate their results with mechanistic insights of these candidate drugs.

    pdf21p vicolorado2711 22-10-2020 10 0   Download

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