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Hi there šŸ‘‹

I am a PhD candidate in the Desplan lab at New York University. I study genetic programs that specify different kind of neurons in development. Using fly visual system as my model, Iā€™m currently studying how early patterning events are translated into the making of different cells using single-cell transcriptomics. While still trying to get a hold of it, I am generally interested in statistics and interpretable machine learning.

Besides the links in my profile, you can also find me on Mastodon.

Yen-Chung Chen's Projects

awesomecv icon awesomecv

Modified AwesomeCV with automatic publication processing

jacbrowse icon jacbrowse

An interface for exploring a couple of published NGS datasets

labscribe3-cmap-plot icon labscribe3-cmap-plot

It draws an overview waveform graph and a summary boxplot of the wave amplitude. Both graphic is faceted by assay time point and sample type

mixture_modeling_smk icon mixture_modeling_smk

Bayesian mixture modeling from Davis et al. (https://elifesciences.org/articles/50901) adapted to be a Snakemake pipeline

nyu_surp_blogdown icon nyu_surp_blogdown

Rmarkdown source files for the website so we can manage the website with blogdown.

popscle icon popscle

A suite of population scale analysis tools for single-cell genomics data including implementation of Demuxlet / Freemuxlet methods and auxilary tools

scmarco icon scmarco

Interactive visualization of binarized gene expression for combinatorial marker discovery

scviz icon scviz

Plots That You Might Also Want With Seurat

splitgal4.org icon splitgal4.org

Source for splitgal4.org, a platform to share intersectional fly genetic resources.

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