yanailab / knn-smoothingView external linksLinks
K-nearest neighbor smoothing for high-throughput single-cell RNA-Seq data
☆61Aug 30, 2022Updated 3 years ago
Alternatives and similar repositories for knn-smoothing
Users that are interested in knn-smoothing are comparing it to the libraries listed below
Sorting:
- Preprocessing of single-cell RNA-Seq (deprecated)☆62Jul 5, 2019Updated 6 years ago
- Reference data for cell-type assignment with clustifyr☆13Nov 3, 2022Updated 3 years ago
- Moana: Robust cell type classification of single-cell RNA-Seq data☆24Nov 8, 2018Updated 7 years ago
- This contains the dataset for comparing scRNA-seq analysis methods☆92Aug 26, 2020Updated 5 years ago
- Single-cell RNA-seq Gene Expression Recovery☆115Nov 28, 2024Updated last year
- SCOUP is a probabilistic model to analyze single-cell expression data during differentiation☆10Apr 20, 2017Updated 8 years ago
- a simple R data package for curated cancer pathway-specific gene lists☆13Mar 31, 2020Updated 5 years ago
- Regulatory networks with Direct Information in python☆40Mar 9, 2023Updated 2 years ago
- A study to compare methods for clustering of scRNA-seq data☆45Jul 19, 2024Updated last year
- ☆12Apr 26, 2021Updated 4 years ago
- A command line tool that uses a Boolean calculus of calendars for computing availability (currently supports Google Calendar API)☆25Nov 3, 2021Updated 4 years ago
- scMatch: a single-cell gene expression profile annotation tool using reference datasets☆21Aug 11, 2020Updated 5 years ago
- Variational autoencoder for single cell RNA-seq datasets☆44Aug 15, 2017Updated 8 years ago
- Scripts to run and benchmark scRNA-seq cell cluster labeling methods☆48May 23, 2020Updated 5 years ago
- Geometry-preserving random sampling☆96Oct 29, 2024Updated last year
- Pipeline for initial analysis of droplet-based single-cell RNA-seq data☆95Jun 22, 2022Updated 3 years ago
- Single-Cell Sequencing Quality Control and Processing Software☆16Mar 26, 2022Updated 3 years ago
- Paired-seq☆15Jul 17, 2024Updated last year
- The C. elegans transcriptome at single cell resolution☆11Mar 28, 2018Updated 7 years ago
- ☆11Jan 7, 2020Updated 6 years ago
- Probabilistic single-cell pseudotime with Edward+Tensorflow☆12Oct 5, 2017Updated 8 years ago
- nimfa - A Python Library for Nonnegative Matrix Factorization Techniques☆10Aug 30, 2018Updated 7 years ago
- ☆32Mar 4, 2024Updated last year
- An implementation of MNN (Mutual Nearest Neighbors) correct in python.☆77Jan 9, 2023Updated 3 years ago
- Qtip: a tandem simulation approach for accurately predicting read alignment mapping qualities☆25Oct 31, 2019Updated 6 years ago
- A suite for the analysis of CLIP-Seq datasets.☆12Jan 31, 2022Updated 4 years ago
- Source code and data supporting "Evaluating measures of association for single-cell transcriptomics"☆16Feb 25, 2019Updated 6 years ago
- ENHANCE: Accurate denoising of single-cell RNA-Seq data (Python implementation)☆14Jun 5, 2019Updated 6 years ago
- robust matching of small variant datasets using flexible scoring schemes☆11Mar 26, 2020Updated 5 years ago
- scRNAseq integration with triplet neural networks☆41Feb 2, 2026Updated last week
- R package of techniques for comparing clusterings of single-cell sequencing data☆41Apr 26, 2024Updated last year
- netSmooth: A Network smoothing based method for Single Cell RNA-seq imputation☆28May 15, 2024Updated last year
- ☆26Apr 3, 2019Updated 6 years ago
- hyb: a bioinformatics pipeline for the analysis of CLASH (crosslinking, ligation and sequencing of hybrids) data☆13Jul 12, 2024Updated last year
- Bench-marking classification tools for scRNA-seq data☆194Jun 9, 2022Updated 3 years ago
- Single-Cell Clustering Assessment Framework☆107Oct 27, 2023Updated 2 years ago
- Single cell RNA Seq data analysis with quantitative phenotypes☆13Nov 17, 2020Updated 5 years ago
- Code for producing the analysis in the "Quantifying the tradeoff between sequencing depth and cell number in single-cell RNA-seq" manuscr…☆16Feb 5, 2020Updated 6 years ago
- Panoramic stitching of single cell data☆295Jul 14, 2025Updated 7 months ago