greenelab

A collaboratively written review paper on deep learning, genomics, and precision medicine

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Training and evaluating a variational autoencoder for pan-cancer gene expression data

Building classifiers using cancer transcriptomes across 33 different cancer-types

Privacy-preserving generative deep neural networks support clinical data sharing

BioBombe: Sequentially compressed gene expression features enhances biological signatures

Extracting biomedical relationships from literature with Snorkel 🏊

Download metadata for all DOIs using the Crossref API

Retrieve and process PubTator annotations

Cross-platform normalization enables machine learning model training on microarray and RNA-seq data simultaneously

Materials for GCB535 at Penn.

Agglomerative hierarchical clustering in JavaScript

Django backend for hetnet connectivity search

Annotating Rxiv preprints in an automated fashion

Does green OA via preprinting reduce Sci-Hub usage?

Rigor, Reproducibility, Transparency, and Reagent Validity for Computational Biologists

This manuscript covers the annorxiver project.

Traducción al español del manuscrito del estudio de cobertura Sci-Hub