Wednesday, 20th February 2019
My Favourite Tipples are shared by Mary Chitty of life science network Cambridge Healthtech Institute. She shares some of her preferred resources in areas from biomedical to innovative medicines and leadership skills.
Here are some of my go-to sources for keeping both clients and myself abreast of the latest developments on data science in the life sciences.
One of the biggest ironies of "big data" is that we need even more of it. Biological data is often highly dimensional (think gene expression data), relatively sparse, and longitudinal data with health outcomes is particularly challenging. Simply having lots of data is not necessarily a good thing. (Has your data lake turned into a data swamp?) Data provenance, integrity and quality are crucial.
An article in Jinfo I found particularly interesting:
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