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Proportionality: a valid alternative to correlation for relative dataA modular organization of the human intestinal mucosal microbiota and its association with inflammatory bowel diseaseStructural robustness of the gut mucosal microbiota is associated with Crohn's disease remission after surgeryTracking Strains in the Microbiome: Insights from Metagenomics and ModelsMetagenomics, Metatranscriptomics, and Metabolomics Approaches for Microbiome AnalysisUsing "Omics" and Integrated Multi-Omics Approaches to Guide Probiotic Selection to Mitigate Chytridiomycosis and Other Emerging Infectious DiseasesComputational meta'omics for microbial community studiesTowards predictive models of the human gut microbiomeOral Samples as Non-Invasive Proxies for Assessing the Composition of the Rumen Microbial CommunityExpression of the Blood-Group-Related Gene B4galnt2 Alters Susceptibility to Salmonella InfectionHost Gut Motility Promotes Competitive Exclusion within a Model Intestinal MicrobiotaBiotic Interactions in Microbial Communities as Modulators of Biogeochemical Processes: Methanotrophy as a Model SystemA network-based approach to disturbance transmission through microbial interactionsParallel Mapping of Antibiotic Resistance Alleles in Escherichia coliRumen microbial community composition varies with diet and host, but a core microbiome is found across a wide geographical rangeInferring meaningful communities from topology-constrained correlation networksMembrane filter method to study the effects of Lactobacillus acidophilus and Bifidobacterium longum on fecal microbiotaChanges in the Structure of the Microbial Community Associated with Nannochloropsis salina following Treatments with Antibiotics and Bioactive CompoundsSkin fungal community and its correlation with bacterial community of urban Chinese individualsDiet rapidly and reproducibly alters the human gut microbiomeDiarrhea in young children from low-income countries leads to large-scale alterations in intestinal microbiota compositionClimate change alters ecological strategies of soil bacteria.Human papillomavirus community in healthy persons, defined by metagenomics analysis of human microbiome project shotgun sequencing data setsMetaMIS: a metagenomic microbial interaction simulator based on microbial community profiles.Unifying the analysis of high-throughput sequencing datasets: characterizing RNA-seq, 16S rRNA gene sequencing and selective growth experiments by compositional data analysis.Multilevel regularized regression for simultaneous taxa selection and network construction with metagenomic count data.16S rRNA gene high-throughput sequencing data mining of microbial diversity and interactions.CCLasso: correlation inference for compositional data through Lasso.Investigating microbial co-occurrence patterns based on metagenomic compositional data.Microbial communities reflect temporal changes in cyanobacterial composition in a shallow ephemeral freshwater lake.How should we measure proportionality on relative gene expression data?Correlation detection strategies in microbial data sets vary widely in sensitivity and precision.Compositional analysis: a valid approach to analyze microbiome high-throughput sequencing data.TMAinspiration: Decode Interdependencies in Multifactorial Tissue Microarray Data.Differential correlation for sequencing data.Normalization and microbial differential abundance strategies depend upon data characteristics.Differential abundance analysis for microbial marker-gene surveys.Bioinformatic Approaches Including Predictive Metagenomic Profiling Reveal Characteristics of Bacterial Response to Petroleum Hydrocarbon Contamination in Diverse Environments.Correlating microbial diversity patterns with geochemistry in an extreme and heterogeneous environment of mine tailings.Biogeography of the ecosystems of the healthy human body.
P2860
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P2860
description
2012 nî lūn-bûn
@nan
2012 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
Inferring correlation networks from genomic survey data
@ast
Inferring correlation networks from genomic survey data
@en
type
label
Inferring correlation networks from genomic survey data
@ast
Inferring correlation networks from genomic survey data
@en
prefLabel
Inferring correlation networks from genomic survey data
@ast
Inferring correlation networks from genomic survey data
@en
P2860
P1476
Inferring correlation networks from genomic survey data
@en
P2093
Eric J Alm
Jonathan Friedman
P2860
P304
P356
10.1371/JOURNAL.PCBI.1002687
P577
2012-09-20T00:00:00Z