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r-trajectorygeometry
|
1.12.0-1 |
0 |
0.00
|
This Package Discovers Directionality in Time and Pseudo-times Series of Gene Expression Patterns |
BioArchLinuxBot
|
2024-05-01 20:54 (UTC) |
|
r-tradeseq
|
1.18.0-1 |
0 |
0.00
|
trajectory-based differential expression analysis for sequencing data |
BioArchLinuxBot
|
2024-05-03 08:30 (UTC) |
|
r-top
|
1.4.0-1 |
0 |
0.00
|
TOP Constructs Transferable Model Across Gene Expression Platforms |
pekkarr
|
2024-05-03 13:44 (UTC) |
|
r-tmixclust
|
1.26.0-1 |
0 |
0.00
|
Time Series Clustering of Gene Expression with Gaussian Mixed-Effects Models and Smoothing Splines |
BioArchLinuxBot
|
2024-05-01 22:56 (UTC) |
|
r-tigre
|
1.58.0-1 |
0 |
0.00
|
Transcription factor Inference through Gaussian process Reconstruction of Expression |
BioArchLinuxBot
|
2024-05-02 02:06 (UTC) |
|
r-tenxvisiumdata
|
1.12.0-1 |
0 |
0.00
|
Visium spatial gene expression data by 10X Genomics |
pekkarr
|
2024-05-04 01:01 (UTC) |
|
r-tcc
|
1.44.0-1 |
0 |
0.00
|
TCC: Differential expression analysis for tag count data with robust normalization strategies |
BioArchLinuxBot
|
2024-05-03 07:44 (UTC) |
|
r-targetscore
|
1.42.0-1 |
0 |
0.00
|
Infer microRNA targets using microRNA-overexpression data and sequence information |
BioArchLinuxBot
|
2024-05-02 04:36 (UTC) |
|
r-switchde
|
1.30.0-1 |
0 |
0.00
|
Switch-like differential expression across single-cell trajectories |
BioArchLinuxBot
|
2024-05-03 07:43 (UTC) |
|
r-stemhypoxia
|
1.40.0-1 |
0 |
0.00
|
Differentiation of Human Embryonic Stem Cells under Hypoxia gene expression dataset by Prado-Lopez et al. (2010) |
BioArchLinuxBot
|
2024-05-04 00:32 (UTC) |
|
r-stager
|
1.26.0-1 |
0 |
0.00
|
stageR: stage-wise analysis of high throughput gene expression data in R |
BioArchLinuxBot
|
2024-05-03 07:36 (UTC) |
|
r-sponge
|
1.24.0-1 |
0 |
0.00
|
Sparse Partial Correlations On Gene Expression |
BioArchLinuxBot
|
2024-04-13 18:20 (UTC) |
|
r-splinetimer
|
1.32.0-1 |
0 |
0.00
|
Time-course differential gene expression data analysis using spline regression models followed by gene association network reconstruction |
BioArchLinuxBot
|
2024-05-03 12:28 (UTC) |
|
r-specond
|
1.58.0-1 |
0 |
0.00
|
Condition specific detection from expression data |
BioArchLinuxBot
|
2024-05-01 19:44 (UTC) |
|
r-spatialdecon
|
1.14.0-1 |
0 |
0.00
|
Deconvolution of mixed cells from spatial and/or bulk gene expression data |
BioArchLinuxBot
|
2024-05-03 08:38 (UTC) |
|
r-snapcount
|
1.16.0-1 |
0 |
0.00
|
R/Bioconductor Package for interfacing with Snaptron for rapid querying of expression counts |
BioArchLinuxBot
|
2024-05-02 19:47 (UTC) |
|
r-snagee
|
1.44.0-1 |
0 |
0.00
|
Signal-to-Noise applied to Gene Expression Experiments |
BioArchLinuxBot
|
2024-05-02 05:14 (UTC) |
|
r-signaturesearch
|
1.18.0-1 |
0 |
0.00
|
Environment for Gene Expression Searching Combined with Functional Enrichment Analysis |
BioArchLinuxBot
|
2024-05-03 12:18 (UTC) |
|
r-sgcp
|
1.2.0-4 |
0 |
0.00
|
A semi-supervised pipeline for gene clustering using self-training approach in gene co-expression networks |
pekkarr
|
2024-04-28 20:21 (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-selectr
|
0.4.2-2 |
0 |
0.00
|
Translate CSS Selectors to XPath Expressions |
alhirzel
|
2021-05-26 01:23 (UTC) |
|
r-sdams
|
1.24.0-1 |
0 |
0.00
|
Differential Abundant/Expression Analysis for Metabolomics, Proteomics and single-cell RNA sequencing Data |
BioArchLinuxBot
|
2024-05-02 19:09 (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-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-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-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-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-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-scan.upc
|
2.46.0-1 |
0 |
0.00
|
Single-channel array normalization (SCAN) and Universal exPression Codes (UPC) |
BioArchLinuxBot
|
2024-05-03 13:53 (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-safe
|
3.44.0-1 |
0 |
0.00
|
Significance Analysis of Function and Expression |
BioArchLinuxBot
|
2024-05-02 01:31 (UTC) |
|
r-rvisdiff
|
1.2.0-1 |
0 |
0.00
|
Interactive Graphs for Differential Expression |
pekkarr
|
2024-05-02 05:46 (UTC) |
|
r-ruvnormalize
|
1.38.0-1 |
0 |
0.00
|
RUV for normalization of expression array data |
BioArchLinuxBot
|
2024-05-01 18:45 (UTC) |
|
r-runibic
|
1.26.0-1 |
0 |
0.00
|
runibic: row-based biclustering algorithm for analysis of gene expression data in R |
BioArchLinuxBot
|
2024-05-02 19:42 (UTC) |
|
r-rqubic
|
1.50.0-1 |
0 |
0.00
|
Qualitative biclustering algorithm for expression data analysis in R |
BioArchLinuxBot
|
2024-05-01 20:38 (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-rolde
|
1.8.0-1 |
0 |
0.00
|
Robust longitudinal Differential Expression |
pekkarr
|
2024-05-02 20:23 (UTC) |
|
r-rmagpie
|
1.60.0-1 |
0 |
0.00
|
MicroArray Gene-expression-based Program In Error rate estimation |
BioArchLinuxBot
|
2024-05-01 18:09 (UTC) |
|
r-rex
|
1.2.1-7 |
1 |
0.00
|
Friendly Regular Expressions |
BioArchLinuxBot
|
2022-10-18 12:33 (UTC) |
|
r-rematch2
|
2.1.2-4 |
2 |
0.00
|
Tidy Output from Regular Expression Matching |
greyltc
|
2023-03-26 19:46 (UTC) |
|
r-rematch
|
2.0.0-3 |
1 |
0.00
|
Match Regular Expressions with a Nicer 'API' |
BioArchLinuxBot
|
2024-04-24 19:35 (UTC) |
|
r-receptloss
|
1.16.0-1 |
0 |
0.00
|
Unsupervised Identification of Genes with Expression Loss in Subsets of Tumors |
BioArchLinuxBot
|
2024-05-02 19:45 (UTC) |
|
r-rebus
|
0.1.3-4 |
0 |
0.00
|
Build Regular Expressions in a Human Readable Way |
BioArchLinuxBot
|
2022-06-06 12:18 (UTC) |
|
r-rcade
|
1.39.1-4 |
0 |
0.00
|
R-based analysis of ChIP-seq And Differential Expression - a tool for integrating a count-based ChIP-seq analysis with differential expression summary data |
BioArchLinuxBot
|
2023-04-29 06:08 (UTC) |
|
r-qusage
|
2.38.0-1 |
0 |
0.00
|
qusage: Quantitative Set Analysis for Gene Expression |
BioArchLinuxBot
|
2024-05-01 18:33 (UTC) |
|
r-qubic
|
1.32.0-1 |
0 |
0.00
|
An R package for qualitative biclustering in support of gene co-expression analyses |
BioArchLinuxBot
|
2024-05-01 20:38 (UTC) |
|
r-qdapregex
|
0.7.8-2 |
0 |
0.00
|
Regular Expression Removal, Extraction, and Replacement Tools |
BioArchLinuxBot
|
2024-04-07 18:12 (UTC) |
|
r-psea
|
1.36.0-2 |
0 |
0.00
|
Population-Specific Expression Analysis |
BioArchLinuxBot
|
2024-04-18 18:35 (UTC) |
|
r-proteomm
|
1.22.0-1 |
0 |
0.00
|
Multi-Dataset Model-based Differential Expression Proteomics Analysis Platform |
BioArchLinuxBot
|
2024-05-02 23:10 (UTC) |