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- Funding
- Gene set analysis methods: a systematic comparison
- Guidelines for Summarizing a Literature Study
- Identification and Correction of Additive and Multiplicative Spatial Biases in Experimental High-Throughput Screening
- Identifying and quantifying metabolites by scoring peaks of GC-MS data
- Improved Peak Detection and Deconvolution of Native Electrospray Mass Spectra from Large Protein Complexes
- Improved peak detection in mass spectrum by incorporating continuous wavelet transform-based pattern matching
- LEMMI: a continuous benchmarking platform for metagenomics classifiers
- Lessons Learned from Quantitative Dynamical Modeling in Systems Biology
- MS‐Analyzer: preprocessing and data mining services for proteomics applications on the Grid
- Machine learning methods for predictive proteomics
- MeltDB: a software platform for the analysis and integration of metabolomics experiment data
- MetaboAnalyst: a web server for metabolomic data analysis and interpretation
- MethCP: Differentially Methylated Region Detection with Change Point Models (bioRxiv)
- Microbiome differential abundance methods produce different results across 38 datasets
- Mini-batch optimization enables training of ODE models on large-scale datasets
- Missing value estimation methods for DNA microarrays
- Missing values in mass spectrometry based metabolomics: an undervalued step in the data processing pipeline
- Mockrobiota: a public resource for microbiome bioinformatics benchmarking
- NOREVA: normalization and evaluation of MS-based metabolomics data
