RT @DataCamp: Not sure about what different machine learning models do and when to use them? 🤔 Our handy cheat sheet has all the need-to-know advantages, disadvantages, and key use cases: https://t.co/i7zneHHOTZ #Data #MachineLearning #Cheatsheet #ML https://t.co/4OxlePsBrQ


from Twitter https://twitter.com/danbrewer

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A census of amplified and overexpressed human cancer genes : Nature Reviews Cancer

This paper , that I am an author on, was released on 24th December 2009: "Integrated genome-wide screens of DNA copy number and gene expression in human cancers have accelerated the rate of discovery of amplified and overexpressed genes. However, the biological importance of most of the genes identified in such studies remains unclear. In this Analysis, we propose a weight-of-evidence based classification system for identifying individual genes in amplified regions that are selected for during tumour development. In a census of the published literature we have identified 77 genes for which there is good evidence of involvement in the development of human cancer." I spent a huge amount of time on this one but I am still pretty low on the author pecking order. This is for a super high impact journal, "Nature Reviews Cancer" which has a 2008 ISI Impact Factor of 30.762. Also check out the associated website which I put together just before Christmas. Hopefully, this
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RT @jburnmurdoch: Most useful thread I’ve read on the dynamics of Covid transmission. By an expert, and packed full of links to evidence. Indoor spaces and or prolonged face-to-face contact account for large majority of Covid transmission. Walking past someone in street/park much lower risk. https://t.co/fnMrDjAxfq

Most useful thread I’ve read on the dynamics of Covid transmission. By an expert, and packed full of links to evidence. Indoor spaces and or prolonged face-to-face contact account for large majority of Covid transmission. Walking past someone in street/park much lower risk. https://t.co/fnMrDjAxfq — John Burn-Murdoch (@jburnmurdoch) May 17, 2020 from Twitter https://twitter.com/danbrewer
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The Cancer Genetics Team at UEA Norwich have a fully-funded 3 year lab-based PhD studentship that will be examining Liquid Biopsy Analysis for Poor Prognosis Categories of Prostate Cancer. Check it out. Deadline: August 31, 2020. Start Date: Feb 2021. https://t.co/YJYwG7cXKv https://t.co/gQXphhLJy6

The Cancer Genetics Team at UEA Norwich have a fully-funded 3 year lab-based PhD studentship that will be examining Liquid Biopsy Analysis for Poor Prognosis Categories of Prostate Cancer. Check it out. Deadline: August 31, 2020. Start Date: Feb 2021. https://t.co/YJYwG7cXKv pic.twitter.com/gQXphhLJy6 — Daniel Brewer (@danbrewer) July 2, 2020 from Twitter https://twitter.com/danbrewer
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