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王涛
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[1] phyloMDA: an R package for phylogeny-aware microbiome data analysis BMC BIOINFORMATICS, 2022,
[2] mbDenoise: microbiome data denoising using zero-inflated probabilistic principal components analysis GENOME BIOLOGY, 2022,
[3] fastANCOM: a fast method for analysis of compositions of microbiomes BIOINFORMATICS, 2022,
[4]王涛. Identification of human circadian genes based on time course gene expression profiles by using a deep learning method Biochimica Et Biophysica ACTA-Molecular Basis of Disease, 2018,
[5] STRUCTURED SUBCOMPOSITION SELECTION IN REGRESSION AND ITS APPLICATION TO MICROBIOME DATA ANALYSIS Annals of Applied Statistics, 2017,
[6] High-dimensional omics data analysis using a variable screening protocol with prior knowledge integration (SKI) BMC Systems Biology, 2016,
[7]王涛. Salivary microbiome profiling reveals a dysbiotic schizophrenia-associated microbiota npj Schizophrenia, 2021,
[8] Model-Based Microbiome Data Ordination: A Variational Approximation Approach JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 2021,
[9] Transformation and differential abundance analysis of microbiome data incorporating phylogeny Bioinformatics, 2021,
[10] Dimension reduction via adaptive slicing Statistica Sinica, 2022,
[11] MZINBVA: Variational approximation for multilevel zero-inflated negative-binomial models for association analysis in microbiome surveys BRIEFINGS IN BIOINFORMATICS, 2021,
[12] Dimension reduction in binary response regression: A joint modeling approach COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2021,
[13] ON SUPERVISED REDUCTION AND ITS DUAL STATISTICA SINICA, 2021,
[14] An empirical Bayes approach to normalization and differential abundance testing for microbiome data BMC Bioinformatics, 2020,
[15] An adaptive independence test for microbiome community data Biometrics, 2020,
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