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Name: Alexandra Lee
Type: User
Company: @greenelab
Twitter: localee_compact
Location: philadelphia, PA
Name: Alexandra Lee
Type: User
Company: @greenelab
Twitter: localee_compact
Location: philadelphia, PA
This is the repository for ADAGE (Analysis using Denoising Autoencoders for Gene Expression)
Personal website for Alexandra Lee
BioBombe: Sequentially compressed gene expression features enhances biological signatures
Assorted tools for interacting with .gct, .gctx files and other Connectivity Map (Broad Institute) data/tools
Identifying commonly found microbes
Investigating the functional relationship between P. aeruginosa core and accessory genes.
A collaborative review of the emerging literature on diagnostics and treatments related to COVID-19
Experimenting using cycleGAN to transform P. aeruginosa gene expression data between planktonic and biofilm conditions.
Personal webiste for David Nicholson
A collaboratively written review paper on deep learning, genomics, and precision medicine
Ten Quick Tips for Deep Learning in Biology
Distinguishing between generic and experiment-specific gene expression signals.
The website source code for greenelab.com
Presentation and reference on the basics of SVGs, for academics
Analysis of ISCB Fellows and Keynotes Reveals Disparities
Introduction to Jupyter Notebook
A literature review for constructing and using knowledge graphs in a biomedical setting.
Training VAE on LINCS dataset.
Onboarding materials for the Greene Lab
To build compendia of publicly available RNAseq data for P. aeruginosa, specifically.
Building classifiers using cancer transcriptomes across 33 different cancer-types
Software to simulate compendium-wide gene expression data using a VAE.
To explore the use of latent space transformations using pseudomonas transcriptomic data.
Course materials for 4 week python programming bootcamp at Penn
Evaluating the effect of technical sources of variability in large-scale gene expression compendia.
Extracting biomedical relationships from literature with Snorkel 🏊
Software to distinguish between common and experiment-specific gene expression signals
Predict T2D associated loci
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.