Very Likely Science (100)
Very Likely Science (85)
Very Likely Science (83)
Very Likely Science (65)
Very Likely Science (100)
Very Likely Science (83)
pypi: spider
Papers that mentioned: 8
Unlikely Science (0)
Very Likely Science (85)
Very Likely Science (85)
Very Likely Science (100)
Very Likely Science (83)
bioconductor: Metab
Metab: An R Package for a High-Throughput Analysis of Metabolomics Data Generated by GC-MS.Papers that mentioned: 8
Likely Science (43)
cran: imputeLCMD
A Collection of Methods for Left-Censored Missing Data ImputationPapers that mentioned: 8
Very Likely Science (75)
cran: Factoshiny
Perform Factorial Analysis from 'FactoMineR' with a Shiny ApplicationPapers that mentioned: 8
Very Likely Science (85)
cran: survC1
C-Statistics for Risk Prediction Models with Censored Survival DataPapers that mentioned: 8
Very Likely Science (93)
Very Likely Science (85)
bioconductor: IMMAN
Interlog protein network reconstruction by Mapping and Mining ANalysisPapers that mentioned: 8
Very Likely Science (100)
cran: nimble
MCMC, Particle Filtering, and Programmable Hierarchical ModelingPapers that mentioned: 8
Very Likely Science (100)
cran: basicTrendline
Papers that mentioned: 8
Unlikely Science (0)
pypi: ace
Non-parametric multivariate regressions by Alternating Conditional ExpectationsPapers that mentioned: 8
Very Likely Science (100)
Very Likely Science (75)
bioconductor: NormalyzerDE
Evaluation of normalization methods and calculation of differential expression analysis statisticsPapers that mentioned: 8
Very Likely Science (100)
cran: expert
Papers that mentioned: 8
Unlikely Science (0)
cran: crqa
Unidimensional and Multidimensional Methods for Recurrence Quantification AnalysisPapers that mentioned: 8
Very Likely Science (85)
bioconductor: Harshlight
A "corrective make-up" program for microarray chipsPapers that mentioned: 8
Very Likely Science (100)
Very Likely Science (75)
Very Likely Science (75)
Very Likely Science (65)
Very Likely Science (100)
Very Likely Science (100)
bioconductor: Maaslin2
"Multivariable Association Discovery in Population-scale Meta-omics Studies"Papers that mentioned: 8
Very Likely Science (90)
Very Likely Science (100)
Very Likely Science (85)
cran: iRF
Papers that mentioned: 8
Unlikely Science (0)
Likely Science (40)
Very Likely Science (80)
Very Likely Science (65)
Very Likely Science (65)
pypi: phydms
Phylogenetic analyses informed by deep mutational scanning data.Papers that mentioned: 8
Very Likely Science (100)
Very Likely Science (68)
pypi: linear
A straightforward package for linear regression with Gaussian priors.Papers that mentioned: 8
Very Likely Science (90)
Very Likely Science (65)
Very Likely Science (85)
Very Likely Science (65)
Very Likely Science (80)
Very Likely Science (65)
Very Likely Science (65)
Very Likely Science (80)
Very Likely Science (65)
Likely Science (46)
Very Likely Science (65)
Very Likely Science (100)
Very Likely Science (75)
Very Likely Science (90)
bioconductor: SCAN.UPC
Single-channel array normalization (SCAN) and Universal exPression Codes (UPC)Papers that mentioned: 8
Very Likely Science (100)
Very Likely Science (75)
Very Likely Science (100)
cran: CARBayesST
Spatio-Temporal Generalised Linear Mixed Models for Areal Unit DataPapers that mentioned: 8
Very Likely Science (100)
Very Likely Science (100)
Very Likely Science (75)
pypi: Hamilton
Visualize and control mechanic systems through solving these systems with Hamiltonian mechanics.Papers that mentioned: 8
Likely Science (40)
pypi: combat
pyComBat, a Python tool for batch effects correction in high-throughput molecular data using empirical Bayes methodsPapers that mentioned: 8
Very Likely Science (100)
cran: exactci
Exact P-Values and Matching Confidence Intervals for Simple Discrete Parametric CasesPapers that mentioned: 8
Very Likely Science (83)
Very Likely Science (65)
cran: BMTME
Bayesian Multi-Trait Multi-Environment for Genomic Selection AnalysisPapers that mentioned: 8
Very Likely Science (85)
Very Likely Science (75)
Very Likely Science (90)
bioconductor: COSNet
Cost Sensitive Network for node label prediction on graphs with highly unbalanced labelingsPapers that mentioned: 8
Very Likely Science (100)
Very Likely Science (100)
cran: crrstep
Stepwise Covariate Selection for the Fine & Gray Competing Risks Regression ModelPapers that mentioned: 8
Very Likely Science (93)
Very Likely Science (90)
Very Likely Science (75)
Very Likely Science (83)
Very Likely Science (85)
cran: CompQuadForm
Distribution Function of Quadratic Forms in Normal VariablesPapers that mentioned: 8
Very Likely Science (83)
pypi: mdtraj
MDTraj: A modern, open library for the analysis of molecular dynamics trajectoriesPapers that mentioned: 8
Very Likely Science (90)
Very Likely Science (90)
Very Likely Science (90)
Very Likely Science (75)
Very Likely Science (77)
Very Likely Science (85)
cran: CausalImpact
Inferring Causal Effects using Bayesian Structural Time-Series ModelsPapers that mentioned: 8
Very Likely Science (100)
Very Likely Science (100)
Very Likely Science (65)
Very Likely Science (91)
Very Likely Science (65)
bioconductor: cn.mops
cn.mops - Mixture of Poissons for CNV detection in NGS dataPapers that mentioned: 8
Very Likely Science (90)
Very Likely Science (100)
bioconductor: pqsfinder
Identification of potential quadruplex forming sequencesPapers that mentioned: 8
Very Likely Science (75)
Very Likely Science (65)
Very Likely Science (100)
Very Likely Science (93)
Very Likely Science (99)
Very Likely Science (100)
Very Likely Science (100)
Very Likely Science (75)
bioconductor: anota2seq
Generally applicable transcriptome-wide analysis of translational efficiency using anota2seqPapers that mentioned: 8
Very Likely Science (100)
cran: FADA
Variable Selection for Supervised Classification in High DimensionPapers that mentioned: 8
Very Likely Science (75)
Very Likely Science (100)
Very Likely Science (85)