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-pram
|
1.20.0-1 |
0 |
0.00
|
Pooling RNA-seq datasets for assembling transcript models |
BioArchLinuxBot
|
2024-05-03 01:01 (UTC) |
r-prebs
|
1.44.0-1 |
0 |
0.00
|
Probe region expression estimation for RNA-seq data for improved microarray comparability |
BioArchLinuxBot
|
2024-05-02 23:49 (UTC) |
r-proactiv
|
1.14.0-1 |
0 |
0.00
|
Estimate Promoter Activity from RNA-Seq data |
BioArchLinuxBot
|
2024-05-08 18:03 (UTC) |
r-quantiseqr
|
1.12.0-1 |
0 |
0.00
|
Quantification of the Tumor Immune contexture from RNA-seq data |
BioArchLinuxBot
|
2024-05-02 20:01 (UTC) |
r-rbm
|
1.36.0-1 |
0 |
0.00
|
RBM: a R package for microarray and RNA-Seq data analysis |
BioArchLinuxBot
|
2024-05-01 22:51 (UTC) |
r-rmmquant
|
1.22.0-1 |
0 |
0.00
|
RNA-Seq multi-mapping Reads Quantification Tool |
BioArchLinuxBot
|
2024-05-03 02:46 (UTC) |
r-rnasense
|
1.18.0-1 |
0 |
0.00
|
Analysis of Time-Resolved RNA-Seq Data |
BioArchLinuxBot
|
2024-05-02 19:49 (UTC) |
r-rnaseqcomp
|
1.34.0-1 |
0 |
0.00
|
Benchmarks for RNA-seq Quantification Pipelines |
BioArchLinuxBot
|
2024-05-02 04:26 (UTC) |
r-rnaseqr
|
1.16.0-4 |
0 |
0.00
|
RNASeqR: an R package for automated two-group RNA-Seq analysis workflow |
BioArchLinuxBot
|
2023-04-29 08:38 (UTC) |
r-roar
|
1.40.0-1 |
0 |
0.00
|
Identify differential APA usage from RNA-seq alignments |
BioArchLinuxBot
|
2024-05-03 00:55 (UTC) |
r-roseq
|
1.16.0-1 |
0 |
0.00
|
Modeling expression ranks for noise-tolerant differential expression analysis of scRNA-Seq data |
BioArchLinuxBot
|
2024-05-01 18:58 (UTC) |
r-ruvseq
|
1.38.0-1 |
0 |
0.00
|
Remove Unwanted Variation from RNA-Seq Data |
BioArchLinuxBot
|
2024-05-03 04:15 (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-saver
|
1.1.2-4 |
0 |
0.00
|
Single-Cell RNA-Seq Gene Expression Recovery |
BioArchLinuxBot
|
2022-06-06 14:00 (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-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-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-scbfa
|
1.18.0-1 |
0 |
0.00
|
A dimensionality reduction tool using gene detection pattern to mitigate noisy expression profile of scRNA-seq |
BioArchLinuxBot
|
2024-05-03 13:39 (UTC) |
r-scbn
|
1.22.0-1 |
0 |
0.00
|
A statistical normalization method and differential expression analysis for RNA-seq data between different species |
BioArchLinuxBot
|
2024-05-02 03:14 (UTC) |
r-scbubbletree
|
1.6.0-1 |
0 |
0.00
|
Quantitative visual exploration of scRNA-seq data |
pekkarr
|
2024-05-02 05:55 (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-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-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-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-scmerge
|
1.20.0-1 |
0 |
0.00
|
scMerge: Merging multiple batches of scRNA-seq data |
BioArchLinuxBot
|
2024-05-03 04:01 (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-scpipe
|
2.4.0-1 |
0 |
0.00
|
pipeline for single cell RNA-seq data analysis |
BioArchLinuxBot
|
2024-05-03 01:58 (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-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-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-scrnaseq
|
2.18.0-1 |
0 |
0.00
|
Collection of Public Single-Cell RNA-Seq Datasets |
BioArchLinuxBot
|
2024-05-04 18:38 (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-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-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-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-sctreeviz
|
1.10.0-1 |
0 |
0.00
|
R/Bioconductor package to interactively explore and visualize single cell RNA-seq datasets with hierarhical annotations |
BioArchLinuxBot
|
2024-05-03 14:45 (UTC) |
r-scuttle
|
1.14.0-1 |
0 |
0.00
|
Single-Cell RNA-Seq Analysis Utilities |
BioArchLinuxBot
|
2024-05-02 21:18 (UTC) |
r-seqgsea
|
1.44.0-1 |
0 |
0.00
|
Gene Set Enrichment Analysis (GSEA) of RNA-Seq Data: integrating differential expression and splicing |
BioArchLinuxBot
|
2024-05-02 23:07 (UTC) |
r-sgseq
|
1.38.0-1 |
0 |
0.00
|
Splice event prediction and quantification from RNA-seq data |
BioArchLinuxBot
|
2024-05-03 02:29 (UTC) |
r-sincell
|
1.36.0-1 |
0 |
0.00
|
R package for the statistical assessment of cell state hierarchies from single-cell RNA-seq data |
BioArchLinuxBot
|
2024-05-01 21:24 (UTC) |
r-singlecelltk
|
2.14.0-1 |
0 |
0.00
|
Comprehensive and Interactive Analysis of Single Cell RNA-Seq Data |
BioArchLinuxBot
|
2024-05-04 18:42 (UTC) |
r-singler
|
2.6.0-1 |
0 |
0.00
|
Reference-Based Single-Cell RNA-Seq Annotation |
BioArchLinuxBot
|
2024-05-02 19:56 (UTC) |
r-sipsic
|
1.4.0-1 |
0 |
0.00
|
Calculate Pathway Scores for Each Cell in scRNA-Seq Data |
pekkarr
|
2024-05-02 21:50 (UTC) |
r-slalom
|
1.26.0-1 |
0 |
0.00
|
Factorial Latent Variable Modeling of Single-Cell RNA-Seq Data |
BioArchLinuxBot
|
2024-05-03 12:22 (UTC) |
r-speckle
|
1.4.0-1 |
0 |
0.00
|
Statistical methods for analysing single cell RNA-seq data |
pekkarr
|
2024-05-11 12:18 (UTC) |
r-splicinggraphs
|
1.44.0-1 |
0 |
0.00
|
Create, manipulate, visualize splicing graphs, and assign RNA-seq reads to them |
BioArchLinuxBot
|
2024-05-03 08:14 (UTC) |
r-srnadiff
|
1.24.0-1 |
0 |
0.00
|
Finding differentially expressed unannotated genomic regions from RNA-seq data |
BioArchLinuxBot
|
2024-05-03 08:36 (UTC) |
r-sseq
|
1.42.0-1 |
0 |
0.00
|
Shrinkage estimation of dispersion in Negative Binomial models for RNA-seq experiments with small sample size |
BioArchLinuxBot
|
2024-05-01 18:07 (UTC) |
r-ssviz
|
1.38.0-1 |
0 |
0.00
|
A small RNA-seq visualizer and analysis toolkit |
BioArchLinuxBot
|
2024-05-03 07:37 (UTC) |