r-loci2path
|
1.24.0-1 |
0 |
0.00
|
Loci2path: regulatory annotation of genomic intervals based on tissue-specific expression QTLs |
BioArchLinuxBot
|
2024-05-01 22:26 (UTC) |
r-bayseq
|
2.38.0-1 |
0 |
0.00
|
Empirical Bayesian analysis of patterns of differential expression in count data |
BioArchLinuxBot
|
2024-05-01 22:05 (UTC) |
r-indeed
|
2.18.0-1 |
0 |
0.00
|
Interactive Visualization of Integrated Differential Expression and Differential Network Analysis for Biomarker Candidate Selection Package |
BioArchLinuxBot
|
2024-05-01 21:47 (UTC) |
r-dcanr
|
1.20.0-1 |
0 |
0.00
|
Differential co-expression/association network analysis |
BioArchLinuxBot
|
2024-05-01 21:34 (UTC) |
r-carnival
|
2.14.0-1 |
0 |
0.00
|
A CAusal Reasoning tool for Network Identification (from gene expression data) using Integer VALue programming |
BioArchLinuxBot
|
2024-05-01 21:15 (UTC) |
r-levi
|
1.22.0-1 |
0 |
0.00
|
Landscape Expression Visualization Interface |
BioArchLinuxBot
|
2024-05-01 21:14 (UTC) |
r-fci
|
1.34.0-1 |
0 |
0.00
|
f-divergence Cutoff Index for Differential Expression Analysis in Transcriptomics and Proteomics |
BioArchLinuxBot
|
2024-05-01 20:57 (UTC) |
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-genenetworkbuilder
|
1.46.0-1 |
0 |
0.00
|
GeneNetworkBuilder: a bioconductor package for building regulatory network using ChIP-chip/ChIP-seq data and Gene Expression Data |
BioArchLinuxBot
|
2024-05-01 20:47 (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-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-dearseq
|
1.16.0-1 |
0 |
0.00
|
Differential Expression Analysis for RNA-seq data through a robust variance component test |
BioArchLinuxBot
|
2024-05-01 20:37 (UTC) |
r-ctsge
|
1.30.0-1 |
0 |
0.00
|
Clustering of Time Series Gene Expression data |
BioArchLinuxBot
|
2024-05-01 20:34 (UTC) |
r-messina
|
1.40.0-1 |
0 |
0.00
|
Single-gene classifiers and outlier-resistant detection of differential expression for two-group and survival problems |
BioArchLinuxBot
|
2024-05-01 20:25 (UTC) |
r-deqms
|
1.22.0-1 |
0 |
0.00
|
a tool to perform statistical analysis of differential protein expression for quantitative proteomics data. |
BioArchLinuxBot
|
2024-05-01 20:20 (UTC) |
r-geoquery
|
2.72.0-1 |
0 |
0.00
|
Get data from NCBI Gene Expression Omnibus (GEO) |
BioArchLinuxBot
|
2024-05-01 20:10 (UTC) |
r-desingle
|
1.24.0-1 |
0 |
0.00
|
DEsingle for detecting three types of differential expression in single-cell RNA-seq data |
BioArchLinuxBot
|
2024-05-01 19:48 (UTC) |
r-dcgsa
|
1.32.0-1 |
0 |
0.00
|
Distance-correlation based Gene Set Analysis for longitudinal gene expression profiles |
BioArchLinuxBot
|
2024-05-01 19:46 (UTC) |
r-specond
|
1.58.0-1 |
0 |
0.00
|
Condition specific detection from expression data |
BioArchLinuxBot
|
2024-05-01 19:44 (UTC) |
r-igc
|
1.34.0-1 |
0 |
0.00
|
An integrated analysis package of Gene expression and Copy number alteration |
BioArchLinuxBot
|
2024-05-01 19:10 (UTC) |
r-bioqc
|
1.32.0-1 |
0 |
0.00
|
Detect tissue heterogeneity in expression profiles with gene sets |
BioArchLinuxBot
|
2024-05-01 19:01 (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-geva
|
1.12.0-1 |
0 |
0.00
|
Gene Expression Variation Analysis (GEVA) |
BioArchLinuxBot
|
2024-05-01 18:55 (UTC) |
r-ebcoexpress
|
1.48.0-1 |
0 |
0.00
|
EBcoexpress for Differential Co-Expression Analysis |
BioArchLinuxBot
|
2024-05-01 18:54 (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-genetclassifier
|
1.44.0-1 |
0 |
0.00
|
Classify diseases and build associated gene networks using gene expression profiles |
BioArchLinuxBot
|
2024-05-01 18:43 (UTC) |
r-abarray
|
1.72.0-1 |
0 |
0.00
|
Microarray QA and statistical data analysis for Applied Biosystems Genome Survey Microrarray (AB1700) gene expression data. |
BioArchLinuxBot
|
2024-05-01 18:41 (UTC) |
r-masigpro
|
1.76.0-1 |
0 |
0.00
|
Significant Gene Expression Profile Differences in Time Course Gene Expression Data |
BioArchLinuxBot
|
2024-05-01 18:38 (UTC) |
r-mfuzz
|
2.64.0-1 |
0 |
0.00
|
Soft clustering of time series gene expression data |
BioArchLinuxBot
|
2024-05-01 18:37 (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-absseq
|
1.58.0-1 |
0 |
0.00
|
ABSSeq: a new RNA-Seq analysis method based on modelling absolute expression differences |
BioArchLinuxBot
|
2024-05-01 18:32 (UTC) |
r-nanostringdiff
|
1.34.0-1 |
0 |
0.00
|
Differential Expression Analysis of NanoString nCounter Data |
BioArchLinuxBot
|
2024-05-01 18:26 (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-dgeobj.utils
|
1.0.6-3 |
0 |
0.00
|
Differential Gene Expression (DGE) Analysis Utility Toolkit |
pekkarr
|
2024-04-30 12:19 (UTC) |
grok-tool-bin
|
0.2.28-1 |
1 |
0.02
|
GROK is a tool like UNIX grep on steroids. Ofter regular expressions become huge and vague. To resolve this situation macros or grok could be applied. Grok is a peculiar regular expression's macros name. |
egoroff
|
2024-04-28 20:45 (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) |
python-sre-yield
|
1.2-3 |
0 |
0.00
|
Generate regular all expression matches |
alerque
|
2024-04-28 09:24 (UTC) |
r-omicsviewer
|
1.6.0-3 |
0 |
0.00
|
Interactive and explorative visualization of SummarizedExperssionSet or ExpressionSet using omicsViewer |
pekkarr
|
2024-04-27 02:02 (UTC) |
r-dgeobj
|
1.1.2-3 |
0 |
0.00
|
Differential Gene Expression (DGE) Analysis Results Data Object |
pekkarr
|
2024-04-26 16:04 (UTC) |
haskell-pointfree
|
1.1.1.12-1 |
3 |
0.00
|
Tool for refactoring expressions into pointfree form |
corvus_192
|
2024-04-25 20:20 (UTC) |
r-rematch
|
2.0.0-3 |
1 |
0.00
|
Match Regular Expressions with a Nicer 'API' |
BioArchLinuxBot
|
2024-04-24 19:35 (UTC) |
perl-regexp-pattern-license
|
3.11.1-1 |
0 |
0.00
|
Regular expressions for legal licenses |
J5lx
|
2024-04-23 21:33 (UTC) |
r-psea
|
1.36.0-2 |
0 |
0.00
|
Population-Specific Expression Analysis |
BioArchLinuxBot
|
2024-04-18 18:35 (UTC) |
libmatheval
|
1.1.11-2 |
5 |
0.00
|
A C/Fortran library to parse and evaluate symbolic expressions input as text. |
WorMzy
|
2024-04-18 18:24 (UTC) |
uctodata
|
0.10.1-1 |
0 |
0.00
|
An advanced rule-based (regular-expression) and unicode-aware tokenizer for various languages. Tokenization is an essential first step in any NLP pipeline. This package contains the necessary data. |
proycon
|
2024-04-16 08:22 (UTC) |
r-ic10
|
1.5-7 |
0 |
0.00
|
A Copy Number and Expression-Based Classifier for Breast Tumours |
BioArchLinuxBot
|
2024-04-14 12:06 (UTC) |
r-formula.tools
|
1.7.1-9 |
0 |
0.00
|
Programmatic Utilities for Manipulating Formulas, Expressions, Calls, Assignments and Other R Objects |
BioArchLinuxBot
|
2024-04-14 12:03 (UTC) |
r-sponge
|
1.24.0-1 |
0 |
0.00
|
Sparse Partial Correlations On Gene Expression |
BioArchLinuxBot
|
2024-04-13 18:20 (UTC) |
r-trena
|
1.24.0-1 |
0 |
0.00
|
Fit transcriptional regulatory networks using gene expression, priors, machine learning |
BioArchLinuxBot
|
2024-04-13 18:18 (UTC) |
r-metavolcanor
|
1.16.0-1 |
0 |
0.00
|
Gene Expression Meta-analysis Visualization Tool |
BioArchLinuxBot
|
2024-04-13 18:09 (UTC) |