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  • Mixture modelling to characterize diversity in DNA regions 
    BISWAS, ANUSHUA (2023-05)
    The degrees of expression of the hundreds of genes in a eukaryotic cell influence its phenotype and functioning. The binding of proteins such as transcription factors to particular regulatory regions on the DNA play an ...
  • Probabilistic Unsupervised Learning with Heterogeneous Noisy Data 
    PARDHI, SAMARTH (2024-05)
    Mixture models are widely used in situations where the interest is in the probability densities. In such cases, the focus is usually to estimate parameters and mixing probabilities with successful clustering. But in real-life ...