agladstein Goto Github PK
Name: Ariella Gladstein
Type: User
Company: Embarkvet
Bio: Research Scientist. Machine learning in population genomics
Twitter: agladstein89
Name: Ariella Gladstein
Type: User
Company: Embarkvet
Bio: Research Scientist. Machine learning in population genomics
Twitter: agladstein89
Paper code: "These are not the k-mers you are looking for: efficient online k-mer counting using a probabilistic data structure"
ABC results for "Substructured population growth in the Ashkenazi Jews inferred with Approximate Bayesian Computation"
Easily create a beautiful website using Academic and Hugo
Code for genomic simulations and Approximate Bayesian Computation for Gladstein and Hammer (2019) https://doi.org/10.1093/molbev/msz047
Ariella Gladstein's CV
A Jupyter Notebook I made to try out dask's Dataframes
Excercise for ECOL-346 Bioinformatics class
Predicts adaptive introgression using a CNN trained on genotype matrices.
Linear time detection of Identity by Descent
illo with Jetstream/XSEDE cloud computing platform to practice for dibsi and training
PopSim consortium manuscript
MOdeling goALs: A bayesian approach to timely goal completion
A reimplementation of Hudson's classical ms simulator for modern data sets.
A Docker container build emulating a worker node for the OSG VO, using token authentication.
SimPrily: A Python framework to simplify high-throughput genomic simulations. https://doi.org/10.1016/j.softx.2018.09.003
Material for SMBE-SGE-2019 workshop
A library of standard simulation models for msprime
A collection of workshop material
A declarative, efficient, and flexible JavaScript library for building user interfaces.
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Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.