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1. A Comprehensive Survey of Statistical Approaches for Differential Expression Analysis in Single-Cell RNA Sequencing Studies
2. A benchmark of genetic variant calling pipelines using metagenomic short-read sequencing
3. A comparative study of evaluating missing value imputation methods in label-free proteomics
4. A comparison of methods for quantifying prediction uncertainty in systems biology
5. A comprehensive benchmarking study of protocols and sequencing platforms for 16S rRNA community profiling
6. A general modular framework for gene set enrichment analysis
7. A systematic study of normalization methods for Infinium 450K methylation data using whole-genome bisulfite sequencing data
8. Accounting for the Multiple Natures of Missing Values in Label-Free Quantitative Proteomics Data Sets to Compare Imputation Strategies
9. Accurate proteome-wide label-free quantification by delayed normalization and maximal peptide ratio extraction, termed MaxLFQ
10. An Automated Pipeline for High-Throughput Label-Free Quantitative Proteomics
11. An improved algorithm for peak detection in mass spectra based on continuous wavelet transform
12. Analysing microbiome intervention design studies: Comparison of alternative multivariate statistical methods
13. Assessment of statistical methods from single cell, bulk RNA-seq, and metagenomics applied to microbiome data
14. Benchmark of data processing methods and machine learning models for gut microbiome-based diagnosis of inflammatory bowel disease
15. Benchmark problems for dynamic modeling of intracellular processes
16. Benchmarking Metagenomics Tools for Taxonomic Classification
17. Benchmarking Projects
18. Benchmarking Quantitative Performance in Label-Free Proteomics
19. Benchmarking Studies in Computational Biology
20. Benchmarking microbiome transformations favors experimental quantitative approaches to address compositionality and sampling depth biases

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