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HTML |
2 |
Identifying robust gene-gene correlations in scRNA-seq data |
May 04, 2023 |
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Python |
3 |
Imputation method for scRNA-seq based on low-rank approximation |
Jun 29, 2022 |
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Jupyter Notebook |
6 |
scGNN: scRNA-seq Dropout Imputation via Induced Hierarchical Cell Similarity Graph |
Feb 27, 2023 |
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Python |
80 |
An accurate and efficient deep learning method for single-cell RNA-seq data imputation |
Mar 21, 2023 |
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R |
4 |
Accurate, deep, fast, and fully-automated scRNA-seq cell-type annotation |
Mar 30, 2023 |
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Shell |
2 |
Hashed scRNA-seq data processing pipeline |
Mar 30, 2022 |
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R |
18 |
scRNA-seq data visualization from scrattch |
Jun 21, 2022 |
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R |
6 |
A robust and accurate cell type classifier for single cell RNA-seq data |
Jun 14, 2022 |
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R |
8 |
Integrative analysis for scTCR- and scRNA-seq data |
Nov 04, 2022 |
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HTML |
2 |
An accurate and robust cross-modality cell type annotation method for scATAC-seq data |
Jun 10, 2023 |
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Jupyter Notebook |
5 |
scRNA-seq, regulation, and sysbio |
Jun 17, 2023 |
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R |
7 |
A clusterability measure for scRNA-seq data. |
May 31, 2022 |
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HTML |
14 |
Marker gene selection from scRNA-seq data |
May 10, 2022 |
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R |
2 |
scRNA-seq data explorer based on Shiny |
Mar 23, 2022 |
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R |
9 |
A pipeline for scRNA-seq data analysis |
Apr 04, 2023 |
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Python |
4 |
Cell cycle classifier for scRNA-seq data. |
Feb 25, 2022 |
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Python |
3 |
scNavigator processing pipeline for scRNA-seq data |
Aug 16, 2023 |
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HTML |
8 |
scRNA-Seq analysis vignettes |
Nov 05, 2021 |
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Python |
3 |
Bench-marking classification tools for scRNA-seq data |
Jun 12, 2022 |
|
Python |
217 |
Deep count autoencoder for denoising scRNA-seq data |
Apr 04, 2023 |
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R |
8 |
Snakemake workflow to benchmark scRNA-seq data simulators |
Feb 11, 2023 |
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Python |
166 |
Bench-marking classification tools for scRNA-seq data |
May 15, 2023 |
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R |
10 |
Processing scRNA-seq data with kallisto|bustools pipeline |
Dec 08, 2022 |
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R |
2 |
Shiny app to explore Clytia scRNA-seq data |
Oct 06, 2022 |
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R |
19 |
Cell-cell communication and lineage inference for scRNA-seq data |
Mar 24, 2022 |
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Python |
2 |
Spatial Transcritome Annotation with scRNA-seq data and Downstream Analysis |
Nov 18, 2022 |
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R |
4 |
A Shiny app for analyzing and visualizing scRNA-seq data. |
Jan 27, 2023 |
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Jupyter Notebook |
17 |
MAGIC - imputation and de-noising single-cell RNA seq data sets |
Mar 21, 2023 |
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Jupyter Notebook |
2 |
Python pipelines for analysis of adipocyte scRNA-seq data |
Feb 24, 2022 |
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Python |
2 |
Prediction of RNA splicing kinetics in scRNA-seq data |
Apr 10, 2023 |
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Python |
2 |
scBoolSeq: scRNA-Seq data binarisation and synthetic generation from Boolean dynamics |
Oct 05, 2022 |
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R |
3 |
The scRNA-seq data IO between R and Python(R version) |
Mar 08, 2024 |
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Shell |
2 |
Single Cell RNA-Seq Imputation |
Mar 31, 2021 |
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R |
87 |
Conversion between scRNA-seq objects |
Apr 17, 2023 |
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Python |
11 |
Consistent Clusters for scRNA-seq |
Nov 25, 2022 |
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Shell |
3 |
ChiP-seq and DNase-seq ,Bulk RNA-seq,scRNA-seq processing pipeline via R and shell |
Jun 07, 2022 |
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Shell |
4 |
RNA-seq, smRNA-seq, scRNA-seq & ATAC-seq workflows for @Cornell-Trex |
Oct 14, 2021 |
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Python |
6 |
CytoSPACE: Optimal mapping of scRNA-seq data to spatial transcriptomics data |
May 24, 2022 |
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Python |
3 |
CITE-seq pipeline using Salmon and Alevin (HuBMAP scRNA-seq pipeline) |
Apr 14, 2023 |
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Python |
26 |
AutoImpute : Autoencoder based imputation of single cell RNA-seq data |
Feb 14, 2023 |
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Jupyter Notebook |
3 |
Analysis of public and unpublished scRNA-seq data from bone marrow donors |
Sep 24, 2022 |
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R |
2 |
Neighbor-seq infers direct cell-cell interaction network in tissues from scRNA-seq data. |
Mar 24, 2023 |
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R |
91 |
Infer cell types in scRNA-seq data using bulk RNA-seq or gene sets |
Apr 11, 2023 |
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R |
47 |
scPred package for cell type prediction from scRNA-seq data |
Mar 05, 2023 |
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R |
14 |
Flexible, probablistic metrics for quality control of scRNA-seq data |
May 19, 2022 |
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Python |
31 |
Demultiplexing pooled scRNA-seq data with or without genotype reference |
Jul 28, 2022 |
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Perl |
2 |
mapping somatic variants to cell barcodes in scRNA-Seq data |
Sep 03, 2022 |
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R |
3 |
scBubbletree: quantitative tool for visual exploration of scRNA-seq data |
Mar 14, 2023 |
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R |
4 |
Demultiplexing oligo-barcoded scRNA-seq data using regression mixture models |
Oct 08, 2023 |
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Jupyter Notebook |
5 |
useful functions for scRNA-seq analysis |
May 24, 2022 |