dsb
Noise remover
Deconvolution method to remove noise from antibody-derived tag data
Normalize CITEseq Data
63 stars
10 watching
13 forks
Language: R
last commit: 5 months ago
Linked from 1 awesome list
cite-seqniaid-tsang-lab
seandavi/awesome-single-cellRelated projects:
| Repository | Description | Stars |
|---|---|---|
 deepakbaby/dereverberation-and-denoising | Tools for estimating room impulse response and exemplar weights to remove reverberation from noisy speech | 40 |
 rwenqi/nbd-glra | A MATLAB implementation of a deep learning-based deconvolution algorithm using generalized low-rank approximation for image restoration. | 21 |
 edepasquale/doubletdecon | Deconvolutes single-cell RNA-seq data from potential doublets to remove contamination | 69 |
 ysnan/vem-nbd | Provides pre-trained models and benchmark results for noise-blind image deblurring, allowing developers to test and compare different approaches. | 14 |
 imb-computational-genomics-lab/ascend | Tools and methods for analyzing single-cell RNA sequencing data, including expression normalization and differential gene expression analysis. | 22 |
 huanglabpurdue/ncs | An algorithm to reduce noise in images from sCMOS cameras | 29 |
 hoohm/cite-seq-count | A tool to analyze antibody tagging from CITE-seq experiments | 79 |
 statomics/zinbwavezinger | A software framework for integrating zingeR with ZINB-WaVE weights for RNA-seq data analysis | 23 |
 deepmed-lab-ecnu/deeprft-aaai2023 | A deep learning-based image deblurring system that explores the impact of frequency selection on restoration quality | 18 |
 csbdeep/csbdeep | Toolbox for improving digital images taken with fluorescence microscopy using deep learning algorithms | 285 |
 constantamateur/soupx | A tool to quantify and remove cell-specific mRNA contamination from single-cell RNA-seq data. | 259 |
 meiguangjin/nbd | This is an implementation of a blind deconvolution algorithm used in computer vision | 17 |
 tudaga/nmfreg_tutorial | A tutorial on using NMFreg to deconvolve composite measurements from labeled single-cell RNA-seq data | 11 |
 nv-tlabs/steal | Develops a method to create high-quality training data from noisy labels in semantic segmentation tasks. | 478 |
 lingfeiwang/normalisr | A software framework for analyzing single-cell RNA sequencing data | 18 |