In the previous two posts we saw how to use Scikit Image to perform some basic image processing. This post will introduce you to image segmentation, one of the most important steps in image analysis. I am going to cover some of the “traditional” methods that work well in many situations. These methods require adaptation […]

# Data thoughts

Various musings on data analysis related topics, R, Python and anything that goes through my mind :)

In the first part of this series we looked at how to open images and perform some basic manipulations using Scikit Image. This second part will introduce you to digital image filters! Digital filters for image analysis Often we need to perform some operation on our images. For example, we may want to reduce noise, […]

This post introduces Scikit Image, as a great tool to create automated pipelines for image analysis. In this part, I cover some basic operations such as cropping and histogram manipulation.

Introduction In previous posts, I discussed how to deal with situations where you measure a continuous outcome and you want to explain its variability as a function of one or more continuous or discrete variables, using linear regression or mixed-effects models. However, there are situations where these linear models are not the best solution to […]

Pseudoreplication is a major issue in biomedical sciences. This post will show you how to avoid it and properly analyse your data in R!

Binary trees are a simple, yet powerful machine learning tool used for classification. In this post, we will use them to classify images of breast cancer.

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## Create awesome plots with ggplot!

This post will introduce you to ggplot, an R package which makes it super-easy to create visually pleasing plots with just a few lines of code!

Linear regression is one of the simplest, yet powerful machine learning techniques. I will teach you how to handle multiple predictors & interactions in R!

Linear regression is one of the simplest, yet extremely powerful statistical techniques, that you definitely want to study in detail. Here we will see how to do it in R!

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## Hello!

Welcome to my blog! Here is where I collect my thoughts and materials about all things data analysis! Some of these thoughts come from my teaching material, some are just things I find interesting! Interested in something in particular? Just leave me a comment and I will see whether I can write about it!