This is your work, valued
Professor in Biostatistics and Medical Informatics at the University of Wisconsin-Madison; Investigator at the Morgridge Institute for Research
single-cell-pseudotime. An overview of algorithms for estimating pseudotime in single-cell RNA-seq data
444adaptyvbio-egfr. Sequences from Adaptyv Bio’s EGFR Protein Design Competition
16py-upset. A pure-python implementation of the UpSet suite of visualisation methods by Lex, Gehlenborg et al.
5ai-commentary-authors. "A renewed call for open artificial intelligence in biomedicine" author ordering
4sdrem. Signaling and Dynamic Regulatory Events Miner
4MultiPCSF. An implementation of the Multi-PCSF algorithm described in
2my-manuscript. Test manuscript from https://github.com/manubot/rootstock
2manubot-awesome-list. Proof of concept for creating awesome lists with Manubot
2lightchem. Light-weight Machine Learning Framework for Drug Discovery
2drug-class. comparing drug classification methods
1proteomics-tutorial. HTML
1dmol-book. Deep learning for molecules and materials book
1ProteinDT. Python
1rosetta. The Rosetta Bio-macromolecule modeling package.
1Machine-learning-for-proteins. Listing of papers about machine learning for proteins.
1Awesome-Biomolecule-Language-Cross-Modeling. Awesome-Biomolecule-Language-Cross-Modeling: a curated list of resources for paper "Leveraging Biomolecule and Natural Language through Multi-Modal Learning: A Survey"
1MolGAN. Tensorflow implementation of MolGAN: An implicit generative model for small molecular graphs (https://arxiv.org/abs/1805.11973)
1OmicsIntegrator. This repository is the working directory for the garnet-forest bundle of python scripts for analyzing diverse forms of 'omic' data in a network context.
1deep-review. A collaboratively written review paper on deep learning, genomics, and precision medicine
1dragonn. Deep Neural Networks Tutorial for Regulatory Genomics
1deepchem. Deep-learning models for Drug Discovery and Quantum Chemistry
1learn-bioinformatics. List of resources for learning bioinformatics, from beginner to advanced
1meo. Maximum Edge Orientation: Discovering Pathways by Orienting Edges in Protein Interaction Networks
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