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Name: Natalie Stanley
Type: User
Company: Stanford University
Bio: Postdoc at Stanford. These days, I mostly do computational immunology. ;)
Location: Palo Alto, CA
Blog: stanleyn.github.io
Name: Natalie Stanley
Type: User
Company: Stanford University
Bio: Postdoc at Stanford. These days, I mostly do computational immunology. ;)
Location: Palo Alto, CA
Blog: stanleyn.github.io
Fits an attributed stochastic block model for networks with multiple continuous attributes
Computational Biology- Spring 2021
cytofkit: an integrated flow/mass cytometry data analysis pipeline
Density-preserving data visualization tools den-SNE and densMAP
R package for differential discovery analyses in high-dimensional cytometry data
A tutorial for dealing with FCS files in both Python and R. Includes instruction for arcsinh transform, selecting relevant markers, etc.
Tools for building and manipulating graphs in Python
find super nodes with k cores
An implementation of the largeVis algorithm for visualizing large, high-dimensional datasets, for R
PhD thesis. very good memories.
R package for MetaboAnalyst
Quantitative benchmarking algorithms for measuring the performance of dimensionality reduction methods on features across multiomics datasets.
:exclamation: This is a read-only mirror of the CRAN R package repository. multcomp — Simultaneous Inference in General Parametric Models. Homepage: http://multcomp.R-forge.R-project.org The publishers web page is http://www.crcpress.com/product/isbn/9781584885740
A package that provides ncdf based storage for flow cytometry data.
Example for using Vopo on a dataset with several stimulations etc.
for stacking analysis of perio data
Memory efficient clustering in R for large datasets
Rphenograph: R implementation of the PhenoGraph algorithm
:exclamation: This is a read-only mirror of the CRAN R package repository. rPython — Package Allowing R to Call Python. Homepage: http://rpython.r-forge.r-project.org/
Fitting the strata multilayer stochastic block model to a multilayer network.
SPADE: Spanning Tree Progression of Density Normalized Events
Build a beautiful and simple website in literally minutes. Demo at http://deanattali.com/beautiful-jekyll
Reduce the size of your network from N nodes to S super nodes
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
TriMap: Dimensionality Reduction Using Triplet Constraints
Scalable, downsampling-free automated cell-population discovery, feature engineering, classification and visualization of single-cell (mostly mass cytometry) data.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
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.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.