Gene-set enrichment analysis with topGO (part-1)

  Introduction Data analysis performed on high-throughput experiments usually produces lists of significantly perturbed genes (RNASeq) or other entities that can be mapped to genes, like genetic variants (whole genome sequencing) or Transcription factor binding sites (chIPSeq). The long lists of genes (often in the order of hundreds or thousands) produced as the outcome of... Continue Reading →

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Methods of handling and working with missing/censored data (part-2)

Description As discussed in my last blog here,┬ámissing data in big data analysis cannot always be ignored and requires a good understanding of the data and user decisions on how to handle this scenario. In biology, this generally occurs when the data is subjected to limits of detection or quantification (censoring or truncation mechanism). These... Continue Reading →

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