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Estimating mutual information under measurement error

https://doi.org/10.1101/852384
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.cels.2019.03.003openalex-snapshot
DoubletFinder: Doublet Detection in Single-Cell RNA Sequencing Data Using Artificial Nearest Neighbors
inferredcites →https://doi.org/10.1017/ccol0521382483openalex-snapshot
Applied Nonparametric Regression
inferredcites →https://doi.org/10.1038/nature14590openalex-snapshot
Single-cell chromatin accessibility reveals principles of regulatory variation
inferredcites →https://doi.org/10.1038/nature21429openalex-snapshot
3D structures of individual mammalian genomes studied by single-cell Hi-C
inferredcites →https://doi.org/10.1038/nbt.3383openalex-snapshot
Single-cell ChIP-seq reveals cell subpopulations defined by chromatin state
inferredcites →https://doi.org/10.1038/nbt.3519openalex-snapshot
Near-optimal probabilistic RNA-seq quantification
inferredcites →https://doi.org/10.1038/nmeth.2645openalex-snapshot
Accounting for technical noise in single-cell RNA-seq experiments
inferredcites →https://doi.org/10.1038/nmeth.4197openalex-snapshot
Salmon provides fast and bias-aware quantification of transcript expression
inferredcites →https://doi.org/10.1038/nmeth.4324openalex-snapshot
Differential analysis of RNA-seq incorporating quantification uncertainty
inferredcites →https://doi.org/10.1073/pnas.1715593115openalex-snapshot
Jackknife approach to the estimation of mutual information
inferredcites →https://doi.org/10.1093/bioinformatics/btp135openalex-snapshot
Correction for phylogeny, small number of observations and data redundancy improves the identification of coevolving amino acid pairs using mutual information
inferredcites →https://doi.org/10.1093/bioinformatics/btr626openalex-snapshot
Inferring gene regulatory networks from gene expression data by path consistency algorithm based on conditional mutual information
inferredcites →https://doi.org/10.1093/bioinformatics/btw320openalex-snapshot
Weighted mutual information analysis substantially improves domain-based functional network models
inferredcites →https://doi.org/10.1093/nar/gkv1189openalex-snapshot
Reference sequence (RefSeq) database at NCBI: current status, taxonomic expansion, and functional annotation
inferredcites →https://doi.org/10.1093/nar/gky1015openalex-snapshot
COSMIC: the Catalogue Of Somatic Mutations In Cancer
inferredcites →https://doi.org/10.1093/nar/gkz622openalex-snapshot
Nonparametric expression analysis using inferential replicate counts
inferredcites →https://doi.org/10.1103/physreve.100.022404openalex-snapshot
Estimation of mutual information for real-valued data with error bars and controlled bias
inferredcites →https://doi.org/10.1103/physreve.52.2318openalex-snapshot
Estimation of mutual information using kernel density estimators
inferredcites →https://doi.org/10.1103/physreve.69.066138openalex-snapshot
Estimating mutual information
inferredcites →https://doi.org/10.1103/physreve.76.026209openalex-snapshot
Relative performance of mutual information estimation methods for quantifying the dependence among short and noisy data
inferredcites →https://doi.org/10.1111/j.2517-6161.1986.tb01412.xopenalex-snapshot
On the Statistical Analysis of Dirty Pictures
inferredcites →https://doi.org/10.1126/science.aau0730openalex-snapshot
Joint profiling of chromatin accessibility and gene expression in thousands of single cells
inferredcites →https://doi.org/10.1137/1104033openalex-snapshot
On a Statistical Estimate for the Entropy of a Sequence of Independent Random Variables
inferredcites →https://doi.org/10.1145/2792745.2792775openalex-snapshot
Bridges
inferredcites →https://doi.org/10.1146/annurev-genet-102108-134850openalex-snapshot
The Role of Mitochondria in Apoptosis
inferredcites →https://doi.org/10.1186/s13059-015-0805-zopenalex-snapshot
ZIFA: Dimensionality reduction for zero-inflated single-cell gene expression analysis
inferredcites →https://doi.org/10.1186/s13059-019-1670-yopenalex-snapshot
Alevin efficiently estimates accurate gene abundances from dscRNA-seq data
inferredcites →https://doi.org/10.1201/9781315140919openalex-snapshot
Density Estimation for Statistics and Data Analysis
inferredcites →https://doi.org/10.1242/jcs.042762openalex-snapshot
The T-cell-receptor signaling network
inferredcites →https://doi.org/10.12688/f1000research.18276.2openalex-snapshot
Using equivalence class counts for fast and accurate testing of differential transcript usage
inferredcites →https://doi.org/10.12688/f1000research.7563.1openalex-snapshot
Differential analyses for RNA-seq: transcript-level estimates improve gene-level inferences
inferredcites →https://doi.org/10.1371/journal.pcbi.1001035openalex-snapshot
Incremental Mutual Information: A New Method for Characterizing the Strength and Dynamics of Connections in Neuronal Circuits
inferredcites →https://doi.org/10.2307/1412159openalex-snapshot
The Proof and Measurement of Association between Two Things
inferredcites →https://doi.org/10.3150/15-bej798openalex-snapshot
Probit transformation for nonparametric kernel estimation of the copula density
inferredcites →https://doi.org/10.48550/arxiv.0807.3392openalex-snapshot
The converse to Curtiss' theorem for one-sided moment generating functions
inferredcites →https://doi.org/10.5860/choice.29-0364openalex-snapshot
Applied nonparametric regression
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