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Three classical approaches to hypothesis testing
Here I introduce three classical approaches to hypotheses testing in the frequentists’s approach of statistics: the likelihoodratio test, the Lagrange multiplier test (or the score test), and the Wald test.

Discoveries Weekly No. 10 (June 1521, 2020)
Here are some discoveries that fascinate me this week.

Intrisincally disodered regions in transcription factors
It is long known that transcription factors (TFs) which bind to common DNA motifs in vitro occupy distinct sets of promoters in vivo. The reason for that is not clear. A new study may provide some hints. Spoiler warning: it involves intrisincally disordered regions.

An application of machine learning for DNAencoded library screening
A post in the Google AI Blog features a paper by McCloskey et al (Journal of Medicinal Chemistry 2020), reporting an application of machine learning to DNAEncoded Library (DEL) screening results. Here are my learning notes.

Degree of freedom in statistical testing
In this Minitab Blog Post I found a clear explanation of the concept of degree of freedom (often abbreviated as ‘d.f.’) in the context of hat warning (!), onesample ttest, Chisquare test, and linear regression.