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i_love_limes

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2019-04-30

Created

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  • Submitted: "AlphaGenome: AI for better understanding the genome"

    517 points170 commentsdeepmind.google

    Introducing a new, unifying DNA sequence model that advances regulatory variant-effect prediction and promises to shed new light on genome function — now available via API.

  • Commented: "The Molecule of the Month"

    The old hacker news hug of death...

  • Commented: "Show HN: ArXivTok"

    Great idea! The scrolling is a bit broken though. I can't scroll down the text on my trackpad without it going to the next article, and also it just a lot of articles with a tiny movement of the trackpad.

    Otherwise it's a really fun idea! Can I suggest you also scrape from https://www.medrxiv.org/? This is where a lot of medical research preprints, not arxiv

  • Commented: "They Thought They Were Free: The Germans, 1933-45 (1955)"

    I'm having a hard time googling the book you mentioned. Is it by any chance called 'They Thought They Were Free: The Germans 1933-45'? That's the closest thing I could find.

    https://en.wikipedia.org/wiki/They_Thought_They_Were_Free

  • Commented: "Bacteria (and their metabolites) and depression"

    Well no. It's not uncommon for p-values to be even lower than that. We are talking about a specific SNP (allele) having a specific mutation being predictive of a phenotype / outcome.

    So, a specific SNP mutation being predictive of a gene expression / protein is basically a p-value of 0.

    Can't speak for physics experiments, but this is almost certainly not a statistical error

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