r-sctransform
|
0.4.1-1 |
0 |
0.00
|
Variance Stabilizing Transformations for Single Cell UMI Data |
BioArchLinuxBot
|
2023-10-19 06:01 (UTC) |
r-scthi
|
1.16.0-1 |
0 |
0.00
|
Indentification of significantly activated ligand-receptor interactions across clusters of cells from single-cell RNA sequencing data |
BioArchLinuxBot
|
2024-05-01 19:49 (UTC) |
r-sctgif
|
1.18.0-1 |
0 |
0.00
|
Cell type annotation for unannotated single-cell RNA-Seq data |
BioArchLinuxBot
|
2024-05-03 12:53 (UTC) |
r-sctensor
|
2.14.0-1 |
0 |
0.00
|
Detection of cell-cell interaction from single-cell RNA-seq dataset by tensor decomposition |
BioArchLinuxBot
|
2024-05-03 14:38 (UTC) |
r-scshapes
|
1.10.0-1 |
0 |
0.00
|
A Statistical Framework for Modeling and Identifying Differential Distributions in Single-cell RNA-sequencing Data |
BioArchLinuxBot
|
2024-05-01 19:50 (UTC) |
r-scs
|
3.2.4-4 |
0 |
0.00
|
Splitting Conic Solver |
BioArchLinuxBot
|
2024-04-24 21:03 (UTC) |
r-scrypt
|
0.1.6-3 |
0 |
0.00
|
Key Derivation Functions for R Based on Scrypt |
pekkarr
|
2024-04-25 02:37 (UTC) |
r-scry
|
1.16.0-1 |
0 |
0.00
|
Small-Count Analysis Methods for High-Dimensional Data |
BioArchLinuxBot
|
2024-05-02 21:40 (UTC) |
r-scruff
|
1.22.0-1 |
0 |
0.00
|
Single Cell RNA-Seq UMI Filtering Facilitator (scruff) |
BioArchLinuxBot
|
2024-05-03 13:32 (UTC) |
r-scrnaseqapp
|
1.4.0-1 |
0 |
0.00
|
A single-cell RNAseq Shiny app-package |
pekkarr
|
2024-05-05 12:17 (UTC) |
r-scrnaseq
|
2.18.0-1 |
0 |
0.00
|
Collection of Public Single-Cell RNA-Seq Datasets |
BioArchLinuxBot
|
2024-05-04 18:38 (UTC) |
r-scrime
|
1.3.5-10 |
0 |
0.00
|
Analysis of High-Dimensional Categorical Data Such as SNP Data |
BioArchLinuxBot
|
2024-03-15 14:11 (UTC) |
r-screpertoire
|
2.0.0-1 |
0 |
0.00
|
A toolkit for single-cell immune receptor profiling |
BioArchLinuxBot
|
2024-05-05 12:20 (UTC) |
r-screenr
|
1.6.0-1 |
0 |
0.00
|
Package to Perform High Throughput Biological Screening |
pekkarr
|
2024-05-02 05:48 (UTC) |
r-screencounter
|
1.4.0-1 |
0 |
0.00
|
Counting Reads in High-Throughput Sequencing Screens |
pekkarr
|
2024-05-02 20:05 (UTC) |
r-screcover
|
1.20.0-1 |
0 |
0.00
|
scRecover for imputation of single-cell RNA-seq data |
BioArchLinuxBot
|
2024-05-01 23:51 (UTC) |
r-screclassify
|
1.10.0-1 |
0 |
0.00
|
scReClassify: post hoc cell type classification of single-cell RNA-seq data |
BioArchLinuxBot
|
2024-05-02 21:28 (UTC) |
r-scran
|
1.32.0-1 |
0 |
0.00
|
Methods for Single-Cell RNA-Seq Data Analysis |
BioArchLinuxBot
|
2024-05-03 00:05 (UTC) |
r-scpipe
|
2.4.0-1 |
0 |
0.00
|
pipeline for single cell RNA-seq data analysis |
BioArchLinuxBot
|
2024-05-03 01:58 (UTC) |
r-scpca
|
1.18.0-1 |
0 |
0.00
|
Sparse Contrastive Principal Component Analysis |
BioArchLinuxBot
|
2024-05-02 00:48 (UTC) |
r-scp
|
1.14.0-1 |
0 |
0.00
|
Mass Spectrometry-Based Single-Cell Proteomics Data Analysis |
BioArchLinuxBot
|
2024-05-05 12:19 (UTC) |
r-scoringrules
|
1.1.1-4 |
0 |
0.00
|
Scoring Rules for Parametric and Simulated Distribution Forecasts |
pekkarr
|
2024-04-25 07:53 (UTC) |
r-scoreinvhap
|
1.26.0-1 |
0 |
0.00
|
Get inversion status in predefined regions |
BioArchLinuxBot
|
2024-05-03 04:59 (UTC) |
r-scope
|
1.16.0-1 |
0 |
0.00
|
A normalization and copy number estimation method for single-cell DNA sequencing |
BioArchLinuxBot
|
2024-05-03 03:23 (UTC) |
r-sconify
|
1.24.0-1 |
0 |
0.00
|
A toolkit for performing KNN-based statistics for flow and mass cytometry data |
BioArchLinuxBot
|
2024-05-01 20:20 (UTC) |
r-scone
|
1.28.0-1 |
0 |
0.00
|
Single Cell Overview of Normalized Expression data |
BioArchLinuxBot
|
2024-05-03 05:30 (UTC) |
r-scnorm
|
1.26.0-1 |
0 |
0.00
|
Normalization of single cell RNA-seq data |
BioArchLinuxBot
|
2024-05-02 21:36 (UTC) |
r-scmeth
|
1.24.0-1 |
0 |
0.00
|
Functions to conduct quality control analysis in methylation data |
BioArchLinuxBot
|
2024-05-03 05:34 (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-scmerge
|
1.20.0-1 |
0 |
0.00
|
scMerge: Merging multiple batches of scRNA-seq data |
BioArchLinuxBot
|
2024-05-03 04:01 (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-scisi
|
1.68.0-4 |
0 |
0.00
|
In Silico Interactome |
BioArchLinuxBot
|
2022-11-04 06:34 (UTC) |
r-sciplot
|
1.2.0-4 |
0 |
0.00
|
Scientific Graphing Functions for Factorial Designs |
BioArchLinuxBot
|
2024-04-05 18:09 (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-scico
|
1.5.0-1 |
0 |
0.00
|
Colour Palettes Based on the Scientific Colour-Maps |
BioArchLinuxBot
|
2023-08-14 18:02 (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-scfa
|
1.14.0-1 |
0 |
0.00
|
SCFA: Subtyping via Consensus Factor Analysis |
BioArchLinuxBot
|
2024-05-01 21:31 (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-scdblfinder
|
1.18.0-1 |
0 |
0.00
|
scDblFinder |
BioArchLinuxBot
|
2024-05-03 01:40 (UTC) |
r-scdataviz
|
1.14.0-1 |
0 |
0.00
|
scDataviz: single cell dataviz and downstream analyses |
BioArchLinuxBot
|
2024-05-02 23:56 (UTC) |