r-scnorm
|
1.26.0-1 |
0 |
0.00
|
Normalization of single cell RNA-seq data |
BioArchLinuxBot
|
2024-05-02 21:36 (UTC) |
r-scmet
|
1.6.0-1 |
0 |
0.00
|
Bayesian modelling of cell-to-cell DNA methylation heterogeneity |
pekkarr
|
2024-05-02 21:48 (UTC) |
r-scmap
|
1.26.0-1 |
0 |
0.00
|
A tool for unsupervised projection of single cell RNA-seq data |
BioArchLinuxBot
|
2024-05-02 21:29 (UTC) |
r-scmageck
|
1.9.1-4 |
0 |
0.00
|
Identify genes associated with multiple expression phenotypes in single-cell CRISPR screening data |
BioArchLinuxBot
|
2023-04-29 05:01 (UTC) |
r-scifer
|
1.6.0-1 |
0 |
0.00
|
Single-Cell Immunoglobulin Filtering of Sanger Sequences |
pekkarr
|
2024-05-03 18:30 (UTC) |
r-scider
|
1.2.0-1 |
0 |
0.00
|
Spatial cell-type inter-correlation by density in R |
pekkarr
|
2024-05-03 09:11 (UTC) |
r-schot
|
1.16.0-1 |
0 |
0.00
|
single-cell higher order testing |
BioArchLinuxBot
|
2024-05-02 21:27 (UTC) |
r-schex
|
1.18.0-1 |
0 |
0.00
|
Hexbin plots for single cell omics data |
BioArchLinuxBot
|
2024-05-02 23:55 (UTC) |
r-scgps
|
1.18.0-1 |
0 |
0.00
|
A complete analysis of single cell subpopulations, from identifying subpopulations to analysing their relationship (scGPS = single cell Global Predictions of Subpopulation) |
BioArchLinuxBot
|
2024-05-02 22:18 (UTC) |
r-scfeatures
|
1.4.0-1 |
0 |
0.00
|
Multi-view representations of single-cell and spatial data for disease outcome prediction |
pekkarr
|
2024-05-03 18:38 (UTC) |
r-scfeaturefilter
|
1.24.0-1 |
0 |
0.00
|
A correlation-based method for quality filtering of single-cell RNAseq data |
BioArchLinuxBot
|
2024-05-01 20:26 (UTC) |
r-scds
|
1.20.0-1 |
0 |
0.00
|
In-Silico Annotation of Doublets for Single Cell RNA Sequencing Data |
BioArchLinuxBot
|
2024-05-02 21:36 (UTC) |
r-scdesign3
|
1.2.0-1 |
0 |
0.00
|
A unified framework of realistic in silico data generation and statistical model inference for single-cell and spatial omics |
pekkarr
|
2024-05-05 12:05 (UTC) |
r-scde
|
2.32.0-1 |
0 |
0.00
|
Single Cell Differential Expression |
BioArchLinuxBot
|
2024-05-01 22:45 (UTC) |
r-scddboost
|
1.6.0-1 |
0 |
0.00
|
A compositional model to assess expression changes from single-cell rna-seq data |
pekkarr
|
2024-05-02 21:56 (UTC) |
r-scdd
|
1.28.0-1 |
0 |
0.00
|
Mixture modeling of single-cell RNA-seq data to identify genes with differential distributions |
BioArchLinuxBot
|
2024-05-03 01:34 (UTC) |
r-scdataviz
|
1.14.0-1 |
0 |
0.00
|
scDataviz: single cell dataviz and downstream analyses |
BioArchLinuxBot
|
2024-05-02 23:56 (UTC) |
r-sccomp
|
1.8.0-1 |
0 |
0.00
|
Robust Outlier-aware Estimation of Composition and Heterogeneity for Single-cell Data |
pekkarr
|
2024-05-05 12:16 (UTC) |
r-scclassify
|
1.14.0-1 |
0 |
0.00
|
scClassify: single-cell Hierarchical Classification |
BioArchLinuxBot
|
2023-10-28 13:37 (UTC) |
r-scclassifr
|
1.2.0-3 |
0 |
0.00
|
Pretrained learning models for cell type prediction on single cell RNA-sequencing data |
BioArchLinuxBot
|
2022-06-07 13:21 (UTC) |
r-sccb2
|
1.14.0-1 |
0 |
0.00
|
CB2 improves power of cell detection in droplet-based single-cell RNA sequencing data |
BioArchLinuxBot
|
2024-05-03 01:56 (UTC) |
r-scater
|
1.32.0-1 |
0 |
0.00
|
Single-Cell Analysis Toolkit for Gene Expression Data in R |
BioArchLinuxBot
|
2024-05-03 00:06 (UTC) |
r-scatedata
|
1.12.0-1 |
0 |
0.00
|
Data for SCATE (Single-cell ATAC-seq Signal Extraction and Enhancement) |
BioArchLinuxBot
|
2024-04-13 18:13 (UTC) |
r-scate
|
1.12.0-1 |
0 |
0.00
|
Single-cell ATAC-seq Signal Extraction and Enhancement |
BioArchLinuxBot
|
2024-04-13 18:21 (UTC) |
r-scarray.sat
|
1.4.0-1 |
0 |
0.00
|
Large-scale single-cell RNA-seq data analysis using GDS files and Seurat |
pekkarr
|
2024-05-03 00:09 (UTC) |
r-scarray
|
1.12.0-1 |
0 |
0.00
|
Large-scale single-cell RNA-seq data manipulation with GDS files |
BioArchLinuxBot
|
2024-05-02 21:20 (UTC) |
r-scannotatr
|
1.10.0-1 |
0 |
0.00
|
Pretrained learning models for cell type prediction on single cell RNA-sequencing data |
BioArchLinuxBot
|
2024-05-02 23:57 (UTC) |
r-scalign
|
1.12.0-4 |
0 |
0.00
|
An alignment and integration method for single cell genomics |
BioArchLinuxBot
|
2023-04-29 05:24 (UTC) |
r-sc3
|
1.32.0-1 |
0 |
0.00
|
Single-Cell Consensus Clustering |
BioArchLinuxBot
|
2024-05-02 21:25 (UTC) |
r-saver
|
1.1.2-4 |
0 |
0.00
|
Single-Cell RNA-Seq Gene Expression Recovery |
BioArchLinuxBot
|
2022-06-06 14:00 (UTC) |
r-saturn
|
1.12.0-1 |
0 |
0.00
|
Scalable Analysis of Differential Transcript Usage for Bulk and Single-Cell RNA-sequencing Applications |
BioArchLinuxBot
|
2024-05-02 19:39 (UTC) |
r-samspectral
|
1.58.0-1 |
0 |
0.00
|
Identifies cell population in flow cytometry data |
BioArchLinuxBot
|
2024-05-02 03:19 (UTC) |
r-rtca
|
1.56.0-1 |
0 |
0.00
|
Open-source toolkit to analyse data from xCELLigence System (RTCA) |
BioArchLinuxBot
|
2024-05-02 12:30 (UTC) |
r-rmisc
|
1.5.1-1 |
0 |
0.00
|
Rmisc: Ryan Miscellaneous |
BioArchLinuxBot
|
2022-06-06 13:03 (UTC) |
r-rmagic
|
2.0.3-5 |
0 |
0.00
|
MAGIC - Markov Affinity-Based Graph Imputation of Cells |
BioArchLinuxBot
|
2023-04-22 15:46 (UTC) |
r-retrofit
|
1.4.0-1 |
0 |
0.00
|
Reference-free deconvolution of cell mixtures in spatial transcriptomics |
pekkarr
|
2024-05-02 04:49 (UTC) |
r-repmis
|
0.5-4 |
0 |
0.00
|
Miscellaneous Tools for Reproducible Research |
BioArchLinuxBot
|
2022-06-06 12:30 (UTC) |
r-rcsl
|
1.12.0-1 |
0 |
0.00
|
Rank Constrained Similarity Learning for single cell RNA sequencing data |
BioArchLinuxBot
|
2024-05-02 22:03 (UTC) |
r-rcmdrmisc
|
2.9.1-1 |
0 |
0.00
|
R Commander Miscellaneous Functions |
BioArchLinuxBot
|
2023-09-26 18:45 (UTC) |
r-rcellminerdata
|
2.26.0-1 |
0 |
0.00
|
Molecular Profiles and Drug Response for the NCI-60 Cell Lines |
BioArchLinuxBot
|
2024-05-04 00:48 (UTC) |
r-rcellminer
|
2.26.0-1 |
0 |
0.00
|
rcellminer: Molecular Profiles, Drug Response, and Chemical Structures for the NCI-60 Cell Lines |
BioArchLinuxBot
|
2024-05-01 20:35 (UTC) |
r-rapportools
|
1.1-6 |
0 |
0.00
|
Miscellaneous (stats) helper functions with sane defaults for reporting |
BioArchLinuxBot
|
2022-11-26 12:50 (UTC) |
r-powsc
|
1.12.0-1 |
0 |
0.00
|
Simulation, power evaluation, and sample size recommendation for single cell RNA-seq |
BioArchLinuxBot
|
2024-05-03 00:15 (UTC) |
r-plasmut
|
1.2.0-1 |
0 |
0.00
|
Stratifying mutations observed in cell-free DNA and white blood cells as germline, hematopoietic, or somatic |
pekkarr
|
2024-05-02 04:52 (UTC) |
r-phemd
|
1.18.0-2 |
0 |
0.00
|
Phenotypic EMD for comparison of single-cell samples |
BioArchLinuxBot
|
2024-04-28 18:00 (UTC) |
r-partcnv
|
1.2.0-1 |
0 |
0.00
|
Infer locally aneuploid cells using single cell RNA-seq data |
pekkarr
|
2024-05-03 00:04 (UTC) |
r-oveseg
|
1.20.0-1 |
0 |
0.00
|
OVESEG-test to detect tissue/cell-specific markers |
BioArchLinuxBot
|
2024-05-02 19:26 (UTC) |
r-oscope
|
1.34.0-1 |
0 |
0.00
|
Oscope - A statistical pipeline for identifying oscillatory genes in unsynchronized single cell RNA-seq |
BioArchLinuxBot
|
2024-05-01 19:49 (UTC) |
r-ontoproc
|
1.26.0-1 |
0 |
0.00
|
processing of ontologies of anatomy, cell lines, and so on |
BioArchLinuxBot
|
2024-05-03 18:16 (UTC) |
r-neuca
|
1.10.0-1 |
0 |
0.00
|
NEUral network-based single-Cell Annotation tool |
BioArchLinuxBot
|
2024-05-02 21:55 (UTC) |