scPerturb: A resource and a python/R tool for single-cell perturbation data
- cite-seq
- database
- perturbation
- scatac-seq
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scPerturb: A resource and a python/R tool for single-cell perturbation data
Multi-dimensional Swift math
AI-based pathology predicts origins for cancers of unknown primary - Nature
An automatic code generator for nonlinear model predictive control (NMPC) and the continuation/GMRES method (C/GMRES) based numerical solvers for NMPC
Repository for Nicheformer: a foundation model for single-cell and spatial omics
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A python Two Source Energy Balance model for estimation of evapotranspiration with remote sensing data
Sparse matrix formats for linear algebra supporting scientific and machine learning applications
🏃 The go-to single-cell Foundation Model
Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
Optimising chemical reactions using machine learning
Automated 3D brain registration with support for multiple species and atlases.
A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design
The repository host gives no description.
The repository host gives no description.
Swift library like numpy, playgrounds notebook like jupyter.
GeneCompass
Integrated pipeline for multiplexed image analysis
Official repo for CellPLM: Pre-training of Cell Language Model Beyond Single Cells.
:dart: Accurate sums and dot products for Python.
Detecting cancers on mobile phones
PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturbations at bulk and single-cell levels.
BulkFormer: A large-scale foundation model for human bulk transcriptomes
The Massively Parallel Quantum Chemistry program, MPQC, computes properties of atoms and molecules from first principles using the time independent Schrödinger equation.