Chun Su

👋 Hi! Thank you for stopping by! I am a computational biologist working in the field of omics. Although trained as a bench scientist, I gradually developed a passion for programming by taking online courses and attending local meetups, such as R-Ladies Philly. I love exploring new ideas and firmly believe that learning is a lifelong journey. This personal website is my space to share study notes, projects, and insights from my learning adventures. My hope is that these resources inspire and support other self-learners along their own journeys.

All about git

Recently I have actively participated two team projects (PAWS and 2020datahack) which involves multiple team members and a lot of group decisions. For the first time, I…

Buy low sell high on big tech stocks?

I am interested in Big Tech Stock Prices since I personally hold several big Tech stocks and experienced bloody plummeting in the last year. As an amateur investor, I have…

External persistent data I/O using ShinyApp

Shiny App is a fantastic application in Rstudio and makes the data processing more accessible (and fun!). Most easy shiny apps are made to represent data based on a given…

Install multiple versions of R in MacOS

Whenever there is new release of R at CRAN, I am always tempted to install the new version so that I can use the fancy new tools. However, switch to new version of R is…

Interpreting the coefficients of Generalized Linear Model

Linear model is the most popular model used in various of fields, due to its simple execution and interpretation. It can be not only used to predict like all other machine…

ML pipeline with tidymodels vs. caret

As a DS beginner, I first came across ML in R by studying the book Hands-On Machine Learning with R. The book mainly focuses on the package caret with general introductions…

Network Analysis in R - Part 1

Network analysis, also called graph analysis, is to study the complexity of the inter-relationships between actors of all sorts and provides an architectural view of…

Network Analysis in R - Part 2

In last post, I covered the basic components of IGRAPH objects and how to manipulate IGRAPH. You may notice that most of those manipulation do not really require a IGRAPH…

Network visualization - Part 3

In the previous two posts, we discussed about IGRAPH object and how to manipulate, measure and cluster it. In this final post of network analysis series, I will focus on the…

Python Environment Manager - uv

As a computational biologist, I have relied on conda for Python package management for over a decade. This is largely because most bioinformatics packages and software are…

Taking options from command line

Taking in options from command line is an essential step towards generalized usage of scripts. However, it is a chapter I skipped in almost all language textbooks since my…

TidyTuesday: Open Psychometrics 2022Wk33

TidyTuesday 2022-08-16

TidyTuesday: predict chocolate rating with xgboost

Load required libraries

TidyTuesday: predict ultra race time

Load required libraries

Transition from dplyr to data.table

dplyr and tidyr have totally changed the way we code in R. I particularly love the pipe %>% which comes from magrittr package and makes the code easy to read and understand.…

Understanding survival analysis - part 1

I have been performing survival analysis for a while. Although I can create standard survival curves and summarize hypothesis testing tables, I have never really UNDERSTOOD i…

Use API in R and solve common errors

An API (Application Programming Interface) is an intermediary between a large dataset and the applications at user end. It provides an accessible way to request data from a…

bitBites (2026-01-01): LLM shiny, Advert of Agent, FOCUS, Scalable Perturb-seq

Inspired by Stephen Turner¹ ’s weekly recap series, I’m starting a series called bitBites to regularly review what I read and learn. This is part of my New Year’s…

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