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Cold Spring Harbor Laboratory
- new york
- https://orcid.org/0000-0001-6844-2444
Highlights
- Pro
Stars
A deep learning approach to predicting transcription initiation from sequence at single nucleotide resolution
upload big files to Zenodo using cURL, jq and bash
A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also includes support for Shapley Values sampling. (ICLR 2018)
Model interpretability and understanding for PyTorch
Code for the paper: Towards Better Understanding Attribution Methods. CVPR 2022.
MAVE-NN: genotype-phenotype maps from multiplex assays of variant effect
Geometric relationships between manifold embeddings of a continuum of 3D molecular structures and their 2D projections
Software implementation for paper Heuristic Analysis of Manifolds from Simulated Cryo-EM Ensemble Data
Path of least action analysis on energy landscapes
Simulation of cryo-EM ensemble data from atomic models of molecules exhibiting continuous motions