Very Likely Science (65)
Very Likely Science (65)
pypi: stacks
Build scripts, applications and servers using the concept of facilities operating in a stackPapers that mentioned: 22
Very Likely Science (65)
cran: R0
Estimation of R0 and Real-Time Reproduction Number from EpidemicsPapers that mentioned: 22
Very Likely Science (95)
Very Likely Science (65)
pypi: Gentle
Gentle is a help you quickly submit code to the test environment tools.Papers that mentioned: 22
Very Likely Science (65)
pypi: relax
Utilities to make Django and CouchDB play more nicely with one another.Papers that mentioned: 22
Very Likely Science (65)
Very Likely Science (75)
cran: QuasiSeq
Analyzing RNA Sequencing Count Tables Using Quasi-LikelihoodPapers that mentioned: 22
Very Likely Science (85)
Very Likely Science (83)
Very Likely Science (65)
pypi: OSP
Papers that mentioned: 22
Unlikely Science (0)
cran: powerSurvEpi
Power and Sample Size Calculation for Survival Analysis of Epidemiological StudiesPapers that mentioned: 22
Very Likely Science (85)
bioconductor: NanoStringDiff
Differential Expression Analysis of NanoString nCounter DataPapers that mentioned: 22
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Very Likely Science (100)
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Very Likely Science (100)
bioconductor: rbsurv
Robust likelihood-based survival modeling with microarray dataPapers that mentioned: 22
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Very Likely Science (80)
Very Likely Science (80)
pypi: illumina-utils
A library and collection of scripts to work with Illumina paired-end data (for CASAVA 1.8+).Papers that mentioned: 22
Very Likely Science (100)
cran: msap
Statistical analysis for Methylation-sensitive Amplification Polymorphism dataPapers that mentioned: 22
Very Likely Science (85)
Very Likely Science (85)
pypi: fcs
A simple, powerful, and open-source time tracker from the command linePapers that mentioned: 22
Very Likely Science (65)
bioconductor: SISPA
SISPA: Method for Sample Integrated Set Profile AnalysisPapers that mentioned: 22
Very Likely Science (100)
Very Likely Science (75)
cran: ncdf4
Interface to Unidata netCDF (Version 4 or Earlier) Format Data FilesPapers that mentioned: 22
Very Likely Science (83)
Very Likely Science (85)
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Very Likely Science (65)
pypi: SRGAN
Papers that mentioned: 22
Unlikely Science (0)
Very Likely Science (93)
pypi: torchvision
image and video datasets and models for torch deep learningPapers that mentioned: 22
Very Likely Science (100)
Very Likely Science (100)
pypi: Pluto
Interactive IPython kernel for Jupyter with a built in Vulkan graphics enginePapers that mentioned: 22
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pypi: chewBBACA
A complete suite for gene-by-gene schema creation and strain identification.Papers that mentioned: 22
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Very Likely Science (100)
Very Likely Science (100)
bioconductor: CancerSubtypes
Cancer subtypes identification, validation and visualization based on multiple genomic data setsPapers that mentioned: 22
Very Likely Science (100)
cran: compareC
Compare Two Correlated C Indices with Right-Censored Survival OutcomePapers that mentioned: 22
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Very Likely Science (100)
pypi: CMT
Celeria Map Toolkit, can convert different map formats from one into another.Papers that mentioned: 22
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Very Likely Science (65)
Very Likely Science (65)
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bioconductor: RedeR
Interactive visualization and manipulation of nested networksPapers that mentioned: 21
Very Likely Science (100)
bioconductor: Pi
Leveraging Genetic Evidence to Prioritise Drug Targets at the Gene and Pathway LevelPapers that mentioned: 21
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Very Likely Science (100)
cran: biotools
Tools for Biometry and Applied Statistics in Agricultural SciencePapers that mentioned: 21
Very Likely Science (100)
bioconductor: CNTools
Convert segment data into a region by sample matrix to allow for other high level computational analyses.Papers that mentioned: 21
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cran: rfUtilities
Random Forests Model Selection and Performance EvaluationPapers that mentioned: 21
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bioconductor: CNAnorm
A normalization method for Copy Number Aberration in cancer samplesPapers that mentioned: 21
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cran: MUS
Monetary Unit Sampling and Estimation Methods, Widely Used in AuditingPapers that mentioned: 21
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Very Likely Science (100)
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Very Likely Science (65)
pypi: ARIC
ARIC: Accurate and robust inference of cell type proportions from bulk gene expression or DNA methylation dataPapers that mentioned: 21
Very Likely Science (100)
pypi: SPDE
Utilities for geostatistics based on stochastic partial differential equationsPapers that mentioned: 21
Very Likely Science (90)
bioconductor: ballgown
Flexible, isoform-level differential expression analysisPapers that mentioned: 21
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cran: lm.beta
Add Standardized Regression Coefficients to Linear-Model-ObjectsPapers that mentioned: 21
Very Likely Science (85)
cran: DiffCorr
Analyzing and Visualizing Differential Correlation Networks in Biological DataPapers that mentioned: 21
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cran: DET
Papers that mentioned: 21
Unlikely Science (0)
Very Likely Science (65)
Very Likely Science (65)
pypi: XAS
Papers that mentioned: 21
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pypi: pam
Papers that mentioned: 21
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cran: AEP
Statistical Modelling for Asymmetric Exponential Power DistributionPapers that mentioned: 21
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Very Likely Science (100)
Very Likely Science (100)