scDEED
Embedding detector
A statistical method for detecting dubious non-linear embeddings in high-dimensional data by minimizing the number of cell embeddings with drastically differing neighbor relationships.
Single-cell dubious embedding detector (scDED): a statistical method for detecting dubious non-linear embeddings
33 stars
3 watching
5 forks
Language: R
last commit: about 2 years agoRelated projects:
| Repository | Description | Stars |
|---|---|---|
| A MATLAB implementation of Support Vector Data Description (SVDD) for anomaly detection and classification. | 78 | |
| A tool for detecting technical errors in single-cell RNA-seq data | 87 | |
| A Python implementation of a salient object detection algorithm utilizing RGB-D data | 45 | |
| A software package that detects shadows in images using a computer vision approach | 37 | |
| An object detection system implemented using MXNet and based on the Single Shot MultiBox Object Detector algorithm. | 763 | |
| A deep learning-based object detection system from scratch | 706 | |
| An R package to identify genes with differential distributions in single-cell RNA-seq experiments | 32 | |
| An executable detection tool using PE parsing and machine learning signatures to identify packed samples. | 30 | |
| Detects doublets in single-cell RNA sequencing data by analyzing cell distances and proportions of artificial neighbors | 424 | |
| Develops a machine learning model to classify and rank customs fraud cases based on transaction-level data and tree-based features | 61 | |
| A deep learning model that uses 3D point cloud data to improve the precision of single-stage object detection in autonomous vehicles. | 492 | |
| Develops a neural network architecture for object detection and instance segmentation without labeled data | 52 | |
| An implementation of RGB-D saliency detection using a cascaded mutual information minimization approach | 59 | |
| A Python implementation of a depth-induced multi-scale recurrent attention network for RGB-D saliency detection | 105 | |
| An implementation of GroundedSAM as a Base Model for object detection in images given text captions. | 46 |