Six example 3D surface and contour plots using @MATLAB
Category: Data analysis
Application Statistics: PhD Student to Postdoc
In 2017 I was halfway through my PhD and frustrated with the opportunities available to me at my home institution. Conferences were rarely held even far away, and no travel funding. I thought even if I did apply, I would probably get rejected anyway. Apparently that mentality is common in women. So I started applying… Continue reading Application Statistics: PhD Student to Postdoc
Workshop on Computational Plant Biology at PB2020 & Opportunities for Participants
Last year I held a workshop on collaboration in computational plant biology at pb2019. We went through a few examples of how computational biology is used in a variety of situations, discussed challenges in collaboration and communication. Participants were matched with potential collaborators at the end of the workshop. I received a lot of feedback… Continue reading Workshop on Computational Plant Biology at PB2020 & Opportunities for Participants
How to teach yourself coding
I'm primarily a self-taught programmer. I have taken a handful of classes, which is precisely why I'm pro teach yourself. Having a vision for what you want to create with code makes everything so much easier. Pseudo code So, you have some idea about what you want to program. Start by writing pseudo-code. This is… Continue reading How to teach yourself coding
Introduction to modeling: parameter estimation in R
This code introduces how to perform parameter estimation for a system of differential equations in R. First, the necessary packages and data are imported using code previously introduced in a previous post. R code available here. Due to computational constraints, the mathematical model we are using to fit to the data includes product inhibition. If product inhibition doesn't… Continue reading Introduction to modeling: parameter estimation in R
Latex poster format – Cool tones
I made a poster format in latex for my presentation last year at the Society for Mathematical Biology annual meeting. This paper was just accepted for publication! 😀 Check out the source files here. This poster is 3'x4'. Some of the formatting is a bit creative, but in general I used the tcolorbox package to… Continue reading Latex poster format – Cool tones
How to make a 20$ fabric poster
Spoonflower offers custom digitally printed fabric for only 22$. Choose "performance knit" as your fabric, and the yard size is a generous 54". You can print any size poster by centering the image and trimming later on. Check out how nice the text looks in this shot - take into consideration my potato camera! https://www.instagram.com/p/Bgwb1SqARnj/?taken-by=ultimate_algorithm_cyborg… Continue reading How to make a 20$ fabric poster
Computational Plant Science – Clustering in R Tutorial
Last week was the Plantae Seminar "Computational Plant Science - Science at the Interface of Math, Computer Science, and Plant Biology with Alexander Bucksch": Dr. Bucksch mentions using two clustering techniques - B splines and K-means clustering. I've discussed K-means clustering in a previous post to analyze predictors of success in Settlers of Catan. B splines… Continue reading Computational Plant Science – Clustering in R Tutorial
Ask me anything!
Ask me anything anonymously (or non-anonymously) using this Google form: https://goo.gl/forms/JIAIGvvLYATAuEjv2 You can also ask questions on the blog or on the Plantae BDCI network!
Introduction to Bayesian statistics, Part 2
As mentioned in Part 1, in Bayesian statistics you summarize a priori knowledge in the prior, and your data in the likelihood. The prior distribution is often chosen based on analytical convenience, while the likelihood is chosen based on the underlying sampling distribution (read about some appropriate distributions here). Multiplying these together produces the posterior distribution. Probability… Continue reading Introduction to Bayesian statistics, Part 2
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