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The sparseness of data makes single cell transcriptomics challenging, and structural networks may not be able to distinguish between isoforms whose sequences (and structures) are highly similar yet have different functions ( As to why the epidemiological connection, we reason that one possible clue is the established cancer statistics: A single mutation is insufficient to elicit cancer, although exactly how many mutations are required for cancer to emerge has been a debated question ( Here, we aim to enlist computations to discover how same pathway and same-gene mutations, and overexpression can preferentially lead to cancer and NDDs phenotypes, with the overarching goal of applying the learned knowledge to identify likely culpable genes/mutations (Figure 1B)

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[DOI] [PubMed] [Google Scholar] 3.Atladottir HO, Henriksen TB, Schendel DE, et al

The Medicines Management Team (TMMT) consists of advanced clinical practitioners and GPs with extensive experience