Jellybean mistakes 3: Model simmetries

One of the most often mistaken and forgotten problem in basic statistics, when they assume that the fitted regression model is symmetric, aka. does not matter if you fit x~y or y~x. Well, based purely on the method and definition of linear model fitting, this is a very wrong assumption and I think one of the main cause for this is that linear models are always interpreted together with correlation values where this causational direction is not present. Let's see why and learn how to use and interpret correctley, morover what if you need a symmetric model.

Jellybean mistakes 1: Intro

Introduction to a new series about common mistakes in statistics, datavis and everything else in biology.

Q&A time

Recently I got the opportunity to attend to SOKENDAI's Freshmen course. Here I summarise the questions and answers I got on my presentation.

Local BLAST from R

In the [previous post]( I discussed a bigger project, now let's see a smaller part of it, learn how to control local BLAST search from R and get back the information from it for further processing.

Shiny Website for Primer Documentation

Create a [Shiny]( webpage on a server to automatically maintain and protect primers' database with some extra function and a highly user-friendly interface.