Biomarker Discovery: a machine learning workflow applied to Tuberculosis diagnosis.

In our previous work, while working in tuberculosis diagnostics research, we developed some workflows to detect possible biomarkers using Omics data from large cohort studies. Discovered in 19th century, Tuberculosis (TB) is still a serious public health problem and it is estimated that one third of the World’s population is infected with Mycobacterium Tuberculosis (mTB). A... Continue Reading →

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Large Effect Sizes: Missing information produce misleading results.

Recently I came across the problem with suspiciously large difference in the averages of two groups while analysing some Omics data. An article dealing with similar issues can be seen here. The data distribution is shown below in Figure 1 (FYI: the fold change was around 6 - which is very large for this kind... Continue Reading →

Regression & Finite Mixture Models

I wrote a post a while back about Mixture Distributions and Model Comparisons. This post continues on that theme and tries to model multiple data generating processes into a single model. The code for this post is available at the github repository. There were many useful resources that helped me understand this model, and some... Continue Reading →

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