Tag: bioinformatics

Best links of the week #9

Reading time: < 1 minute

Best links of the week from 4th March to 10th March.

Links

  1. What are some of your favorite, but less well-known, packages for R? [1] [2] at Statistics and Data Science sub Reddits.
  2. Why is it wrong to stop an A/B test before optimal sample size is reached? at Cross Validated (Stack Exchange).
  3. How do I calculate statistical power? at Effect Size FAQs.
  4. Personal website generator.
  5. From hard drive to over-heard drive: Boffins convert spinning rust into eavesdropping mic at The Register.
  6. List of Machine Learning / Deep Learning conferences in 2019 at Tryo Labs.
  7. We Use Less Information to Make Decisions Than We Think at Harvard Business Review.
  8. Apple CEO Tim Cook explains why you don’t need a college degree to be successful at Business Insider.
  9. Jordan Peterson’s 10-step process for stronger writing at Big Think.
  10. R package primer at Karl Broman‘s website.
  11. Researchers Can Now Cheaply Turn Atmospheric CO2 Back Into Coal at IFLScience.
  12. Plano de estudos em machine learning com conteúdos em português at Italo José’s GitHub.
  13. O Brasil em dados libertos.
  14. Reconhecimento facial ajuda a prender criminoso no Carnaval de Salvador at Canal Tech.
  15. Conhecer o próprio genoma envolve surpresas e decepções at Folha de São Paulo.
  16. Qual a lógica do detector de mentiras? at Revista Questão de Ciência.
  17. Pesquisas que parecem medicina, mas não são at Revista Questão de Ciência.
  18. A distribuição de pessoas com doutorado pelo Brasil at Nexo Jornal.
  19. Programadores tornarão o caminho mais fácil para invasores dizem pesquisadores at Mundo Hacker.

Best links of the week #3

Reading time: 2 minutes

Best links of the week from 21th January to 27th January.

Links

  1. The bioinformatics chat is a podcast about computational biology, bioinformatics, and next generation sequencing.
  2. Trilha de estudos de Data Science at fcqueiroz’s GitHub.
  3. Jonas Salk: Good at Virology, Bad at Economics at Slate.
  4. Why is Data Preprocessing required? at Ques10.
  5. What bioRxiv’s first 30,000 preprints reveal about biologists at Nature.
  6. What are some recent examples of Simpson’s Paradox in the media? at Quora.
  7. More funny examples of correlations at Bloomberg.
  8. If correlation doesn’t imply causation, then what does? at Data-Driven Intelligence.
  9. Berkson’s Paradox at Brilliant.
  10. Causal Inference & Paradoxes at IRT SystemX.
  11. 10 Biggest Struggles of PhD Students at INOMICS.
  12. Interesting Correlation does not imply causation article at Wikipedia.
  13. If two variables are independent, they will also be linearly independent, therefore their pearson product-moment correlation coefficient (or aka correlation) will be 0. However, the converse is not necessarily true, for they can be linearly independent but non-linearly dependent. However, it is sometimes mistakenly thought that linearly independence does imply independence when the two random variables are normally distributed. This is false though, because normally distributed and uncorrelated does not imply independent at Wikipedia.
  14. What is a Monotonic Relationship? at Statistics How To.
  15. One-Tailed and Two-Tailed Hypothesis Tests Explained at Statistics by Jim.
  16. What are the differences between one-tailed and two-tailed tests? (and many more interesting statistics questions here) at Institute for Digital Research and Education.
  17. Probability Tutorials at Probability.NET
  18. Google DataSet Search
  19. What Is An Intuitive Way To Understand Entropy? at Forbes.