DKruttika / Multi-omics-projects

Multi-omics projects on High grade serous ovarian cancer samples

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Multi-omics-projects

A comprehensive collection of multi-omics projects investigating ovarian cancer progression and chemoresistance through advanced code implementation.

Projects include:

  1. pQTL analysis of HGSOC
  2. Detection of novel fusion genes and peptides in HGSOC
  3. Identification of eRNA from bulk RNA-seq data of HGSOC
  4. Analysis of single cell HGSOC data
  5. Spatial data analysis (python/R scripts)

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Multi-omics projects on High grade serous ovarian cancer samples


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Language:R 50.2%Language:Shell 47.1%Language:Python 2.7%