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- A Comprehensive Survey of Statistical Approaches for Differential Expression Analysis in Single-Cell RNA Sequencing Studies
- A benchmark of genetic variant calling pipelines using metagenomic short-read sequencing
- A comparative study of evaluating missing value imputation methods in label-free proteomics
- A comparison of methods for quantifying prediction uncertainty in systems biology
- A comprehensive benchmarking study of protocols and sequencing platforms for 16S rRNA community profiling
- A general modular framework for gene set enrichment analysis
- A systematic study of normalization methods for Infinium 450K methylation data using whole-genome bisulfite sequencing data
- Accurate proteome-wide label-free quantification by delayed normalization and maximal peptide ratio extraction, termed MaxLFQ
- An Automated Pipeline for High-Throughput Label-Free Quantitative Proteomics
- An improved algorithm for peak detection in mass spectra based on continuous wavelet transform
- Analysing microbiome intervention design studies: Comparison of alternative multivariate statistical methods
- Assessment of statistical methods from single cell, bulk RNA-seq, and metagenomics applied to microbiome data
- Benchmark of data processing methods and machine learning models for gut microbiome-based diagnosis of inflammatory bowel disease
- Benchmark problems for dynamic modeling of intracellular processes
- Benchmarking Metagenomics Tools for Taxonomic Classification
- Benchmarking Quantitative Performance in Label-Free Proteomics
- Benchmarking microbiome transformations favors experimental quantitative approaches to address compositionality and sampling depth biases
- Benchmarking of 16S rRNA gene databases using known strain sequences
- Benchmarking optimization methods for parameter estimation in large kinetic models
- Bioinformatics and Statistics: LC‐MS (/MS) Data Preprocessing for Biomarker Discovery
