On the public citation graph
Feature matrix normalization, transformation and calculation of ß-diversity in metagenomics: Theoretical and applied perspectives on your decisions
0 signed · 46 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-0-387-98141-3openalex-snapshot
ggplot2: Elegant Graphics for Data Analysis
inferredcites →https://doi.org/10.1007/978-94-009-4109-0openalex-snapshot
The Statistical Analysis of Compositional Data
inferredcites →https://doi.org/10.1007/s004420100720openalex-snapshot
How well do multivariate data sets match? The advantages of a Procrustean superimposition approach over the Mantel test
inferredcites →https://doi.org/10.1007/s10142-015-0433-4openalex-snapshot
Insights from 20 years of bacterial genome sequencing
inferredcites →https://doi.org/10.1016/j.annepidem.2016.03.002openalex-snapshot
Compositional data analysis of the microbiome: fundamentals, tools, and challenges
inferredcites →https://doi.org/10.1016/j.cell.2016.08.007openalex-snapshot
Toward Accurate and Quantitative Comparative Metagenomics
inferredcites →https://doi.org/10.1016/j.chemolab.2015.02.019openalex-snapshot
zCompositions — R package for multivariate imputation of left-censored data under a compositional approach
inferredcites →https://doi.org/10.1016/j.jbiotec.2017.01.001openalex-snapshot
Impact of sample processing on human airways microbial metagenomes
inferredcites →https://doi.org/10.1016/j.scitotenv.2010.05.011openalex-snapshot
The bivariate statistical analysis of environmental (compositional) data
inferredcites →https://doi.org/10.1023/a:1023818214614openalex-snapshot
Isometric Logratio Transformations for Compositional Data Analysis
inferredcites →https://doi.org/10.1023/a:1023866030544openalex-snapshot
Dealing with Zeros and Missing Values in Compositional Data Sets Using Nonparametric Imputation
inferredcites →https://doi.org/10.1038/ismej.2012.88openalex-snapshot
Measures of phylogenetic differentiation provide robust and complementary insights into microbial communities
inferredcites →https://doi.org/10.1038/nbt.3960openalex-snapshot
Towards standards for human fecal sample processing in metagenomic studies
inferredcites →https://doi.org/10.1073/pnas.1519288112openalex-snapshot
Library preparation methodology can influence genomic and functional predictions in human microbiome research
inferredcites →https://doi.org/10.1080/11956860.1995.11682297openalex-snapshot
PROTEST: A PROcrustean Randomization TEST of community environment concordance
inferredcites →https://doi.org/10.1093/bib/bbs046openalex-snapshot
A comprehensive evaluation of normalization methods for Illumina high-throughput RNA sequencing data analysis
inferredcites →https://doi.org/10.1093/gigascience/giw015openalex-snapshot
Estimating the total number of phosphoproteins and phosphorylation sites in eukaryotic proteomes
inferredcites →https://doi.org/10.1093/gigascience/gix047openalex-snapshot
The metagenomic data life-cycle: standards and best practices
inferredcites →https://doi.org/10.1101/241802openalex-snapshot
DAtest: a framework for choosing differential abundance or expression method
inferredcites →https://doi.org/10.1111/j.1462-2920.2011.02445.xopenalex-snapshot
Replication, lies and lesser‐known truths regarding experimental design in environmental microbiology
inferredcites →https://doi.org/10.1128/msystems.00095-16openalex-snapshot
Impact of Sample Type and DNA Isolation Procedure on Genomic Inference of Microbiome Composition
inferredcites →https://doi.org/10.1139/cjm-2015-0821openalex-snapshot
Compositional analysis: a valid approach to analyze microbiome high-throughput sequencing data
inferredcites →https://doi.org/10.1177/1471082x14535524openalex-snapshot
Bayesian-multiplicative treatment of count zeros in compositional data sets
inferredcites →https://doi.org/10.1186/gb-2010-11-10-r106openalex-snapshot
Differential expression analysis for sequence count data
inferredcites →https://doi.org/10.1186/gb-2010-11-3-r25openalex-snapshot
A scaling normalization method for differential expression analysis of RNA-seq data
inferredcites →https://doi.org/10.1186/s12864-016-2386-yopenalex-snapshot
Statistical evaluation of methods for identification of differentially abundant genes in comparative metagenomics
inferredcites →https://doi.org/10.1186/s12864-017-4368-0openalex-snapshot
Comparative genome and phenotypic analysis of three Clostridioides difficile strains isolated from a single patient provide insight into multiple infection of C. difficile
inferredcites →https://doi.org/10.1186/s12864-018-4637-6openalex-snapshot
Comparison of normalization methods for the analysis of metagenomic gene abundance data
inferredcites →https://doi.org/10.1186/s13059-014-0550-8openalex-snapshot
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
inferredcites →https://doi.org/10.1186/s40168-016-0208-8openalex-snapshot
Large-scale benchmarking reveals false discoveries and count transformation sensitivity in 16S rRNA gene amplicon data analysis methods used in microbiome studies
inferredcites →https://doi.org/10.1186/s40168-017-0237-yopenalex-snapshot
Normalization and microbial differential abundance strategies depend upon data characteristics
inferredcites →https://doi.org/10.1186/s40168-017-0334-yopenalex-snapshot
Enrichment of beneficial bacteria in the skin microbiota of bats persisting with white-nose syndrome
inferredcites →https://doi.org/10.1371/journal.pcbi.1003531openalex-snapshot
Waste Not, Want Not: Why Rarefying Microbiome Data Is Inadmissible
inferredcites →https://doi.org/10.1371/journal.pone.0061217openalex-snapshot
phyloseq: An R Package for Reproducible Interactive Analysis and Graphics of Microbiome Census Data
inferredcites →https://doi.org/10.1371/journal.pone.0160169openalex-snapshot
MixMC: A Multivariate Statistical Framework to Gain Insight into Microbial Communities
inferredcites →https://doi.org/10.21775/cimb.024.017openalex-snapshot
Guidelines to Statistical Analysis of Microbial Composition Data Inferred from Metagenomic Sequencing
inferredcites →https://doi.org/10.2307/1270335openalex-snapshot
The Statistical Analysis of Compositional Data
inferredcites →https://doi.org/10.3389/fmicb.2017.01020openalex-snapshot
Predicting Species-Resolved Macronutrient Acquisition during Succession in a Model Phototrophic Biofilm Using an Integrated ‘Omics Approach
inferredcites →https://doi.org/10.3389/fmicb.2017.02224openalex-snapshot
Microbiome Datasets Are Compositional: And This Is Not Optional
inferredcites →https://doi.org/10.5808/gi.2013.11.3.102openalex-snapshot
Analytical Tools and Databases for Metagenomics in the Next-Generation Sequencing Era
inferredcites →https://doi.org/10.7554/elife.20010openalex-snapshot
Genetic evidence that Nkx2.2 acts primarily downstream of Neurog3 in pancreatic endocrine lineage development
inferredcites →https://doi.org/10.7554/elife.21887openalex-snapshot
A phylogenetic transform enhances analysis of compositional microbiota data
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.