PyTorch implementation of the MIDAS algorithm for single-cell multimodal data integration (Nature Biotechnology 2024).
- deep-generative-model
- deep-learning
- single-cell-data-integration
- single-cell-multiomics
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PyTorch implementation of the MIDAS algorithm for single-cell multimodal data integration (Nature Biotechnology 2024).
SplineDist: Automated Cell Segmentation with Spline Curves
Unsupervised Image to Image Translation with Generative Adversarial Networks
Go implementation of Count-Min-Log
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Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications
Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.
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An enhanced unification algorithm for Coq
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Adaptive Graph Attention Auto-encoder for Spatial Domain Identification of Spatial Transcriptomics
Towards Reverse-Engineering Black-Box Neural Networks, ICLR'18
Implementation of the superpixel algorithm called SEEDS [1].
Find peaks in a noisy signal
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A fast, simple, memory-efficient graph layout algorithm for visualizing networks in D3
Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
Analysis tool for estimating the likelihood that a binary contains compressed or encrypted bytes
Taming Reflection to Support Whole-Program Analysis of Android Apps
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Implementation of Finger Tree in JavaScript.
Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University
Window-Based Hybrid CPU/GPU Stream Processing Engine
Data and code for "When (ish) is My Bus? User-centered Visualizations of Uncertainty in Everyday, Mobile Predictive Systems" (CHI 2016)