XMRF: An R Package to Fit Markov Networks to High-Throughput Genetics Data

BMC Systems Biology - United Kingdom
doi 10.1186/s12918-016-0313-0
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Springer Science and Business Media LLC

Related search

Quickpsy: An R Package to Fit Psychometric Functions for Multiple Groups

R Journal
UncertaintyNumerical AnalysisStatisticsProbability
2016English

Revengc: An R Package to Reverse Engineer Summarized Data

R Journal
UncertaintyNumerical AnalysisStatisticsProbability
2019English

seqCAT: A Bioconductor R-Package for Variant Analysis of High Throughput Sequencing Data

F1000Research
GeneticsMolecular BiologyPharmacologyBiochemistryMicrobiology ImmunologyMedicineToxicologyPharmaceutics
2019English

RRPP: An R Package for Fitting Linear Models to High-Dimensional Data Using Residual Randomization

Methods in Ecology and Evolution
Ecological ModelingEcologySystematicsEvolutionBehavior
2018English

An Introduction to the EcoTroph R Package: Analyzing Aquatic Ecosystem Trophic Networks

R Journal
UncertaintyNumerical AnalysisStatisticsProbability
2013English

Suddengains: An R Package to Identify Sudden Gains in Longitudinal Data

PLoS ONE
Multidisciplinary
2020English

beadarrayFilter: An R Package to Filter Beads

R Journal
UncertaintyNumerical AnalysisStatisticsProbability
2013English

ViSiElse: An Innovative R-Package to Visualize Raw Behavioral Data Over Time

PeerJ
GeneticsMolecular BiologyBiochemistryBiological SciencesMedicineAgriculturalNeuroscience
2020English

ArCo: An R Package to Estimate Artificial Counterfactuals

R Journal
UncertaintyNumerical AnalysisStatisticsProbability
2018English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy