How Medium allowed me to pen down my thoughts on work and hobby, all in one place

I am Kuan Rong, currently a principal research scientist in Duke-NUS medical school. My lab webpage is found here. My scientific career begun in 2008 , interrogating how antibodies can influence outcome of dengue virus infection. In my Ph.D. with Prof. Ooi Eng Eong, we identified the molecular mechanisms involved…

An Enrichr pathway analysis package within the Python wrapper

GSEApy can execute Enrichr commands within the Python wrapper. Figure taken from Edward Chen et al., BMC Bioinformatics, 2013

We have used volcano plots, identified the differentially expressed genes (DEGs) and plotted in clustergrams to show the relative expression of these DEGs. The next logical step now will be to query the function of these DEGs. There are a myraid of web tools, such as Database for Annotation, Visualization…

Multi-omics quantification analysis allows scientists to uncover the molecular mechanisms underlying biological phenomena. Analysing of omics data begins with volcano plot and differentially expressed gene (DEGs) analysis

Gene expression (or transcriptomics) profiling is the most common type of omics data. The identification of differentially expressed genes (DEGs) from transcriptomics data is critical to understanding the molecular driving forces or identifying the molecular biomarkers behind biological phenotypes.

The comparison is usually performed with respect to controls or baseline…

Correlations are simple to evaluate between numeric variables using scatterplots, but how about categorical variables?

Scatterplots are great visualisation tools to assess relationships and associations between numeric or continuous variables. However, using data points to evaluate categorical variables may not be as straightforward.

Consider a common scenario where a researcher wants to find out in a microarray (containing ~20,000 transcripts) whether experimental condition A elicits…

A comparison on the use of different methods that are commonly used to calculate correlation and why we should consider measuring all 3 of them in our data analyses.

How do we capture correlation values effectively? Read on to find out…

Pairwise comparisons between data variables are commonly used for data analysts. The association between variables is typically measured by the Pearson’s correlation coefficient, which is the measure of strength of the linear relationship between two variables. …

An advanced strategy guide that address a common dilemma faced by most players in Japanese mahjong

Calling riichi. When is it worth?

To riichi or not to riichi? This is the most common dilemma that most players will face when playing Japanese mahjong. On one hand, winning with a riichi hand gives you at least one extra Han. However, this action increases the risk of dealing a winning hand to another player…

A strategy article exploring how to exploit dora tiles to increase the value of your hand.

How to recognise dora tiles. Source from: https://yakuza.fandom.com/wiki/Mahjong

Dora tiles (see diagram above) are a unique feature in Japanese Mahjong, and most people have a love-hate relationship with them. Every dora tile contributes to 1 Han, which in many cases, increases the value of winning points by double for each Han in your hand. For instance, a riichi…

A datascience book suitable for readers with beginner-intermediate knowledge on Python (at just $5!)

A big thank you to Data Professor (@thedataprof), for introducing me to this data science book, which I bought the eBook copy for just $5. My initial intention of buying this book was to get inspiration and lecture materials for teaching my new module, which aims to teach post-graduate students…

Kuan Rong Chan, Ph.D.

Kuan Rong Chan, PhD, Principal Research Scientist in Duke-NUS Medical School. Virologist | Data Scientist | Loves mahjong | Website: kuanrongchan.com

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