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Showing below up to 50 results in range #51 to #100.
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- (hist) Analysing microbiome intervention design studies: Comparison of alternative multivariate statistical methods [1,557 bytes]
- (hist) Data processing has major impact on the outcome of quantitative label-free LC-MS analysis [1,558 bytes]
- (hist) Chemometric methods in data processing of mass spectrometry-based metabolomics: A review [1,559 bytes]
- (hist) An improved algorithm for peak detection in mass spectra based on continuous wavelet transform [1,562 bytes]
- (hist) Comparison of metaheuristic strategies for peakbin selection in proteomic mass spectrometry data [1,563 bytes]
- (hist) Normalization regarding non-random missing values in high-throughput mass spectrometry data [1,564 bytes]
- (hist) Benchmarking of 16S rRNA gene databases using known strain sequences [1,567 bytes]
- (hist) Which missing value imputation method to use in expression profiles: a comparative study and two selection schemes [1,568 bytes]
- (hist) Data-driven normalization strategies for high-throughput quantitative RT-PCR [1,570 bytes]
- (hist) Assessment of statistical methods from single cell, bulk RNA-seq, and metagenomics applied to microbiome data [1,575 bytes]
- (hist) A benchmark of genetic variant calling pipelines using metagenomic short-read sequencing [1,576 bytes]
- (hist) Comparison of peak‐picking workflows for untargeted liquid chromatography/high‐resolution mass spectrometry metabolomics data analysis [1,581 bytes]
- (hist) Distribution-based comprehensive evaluation of methods for differential expression analysis in metatranscriptomics [1,582 bytes]
- (hist) Mockrobiota: a public resource for microbiome bioinformatics benchmarking [1,584 bytes]
- (hist) Comprehensive benchmarking and ensemble approaches for metagenomic classifiers [1,585 bytes]
- (hist) Evaluating supervised and unsupervised background noise correction in human gut microbiome data [1,587 bytes]
- (hist) MeltDB: a software platform for the analysis and integration of metabolomics experiment data [1,589 bytes]
- (hist) NormalyzerDE: Online Tool for Improved Normalization of Omics Expression Data and High-Sensitivity Differential Expression Analysis [1,589 bytes]
- (hist) A Comprehensive Survey of Statistical Approaches for Differential Expression Analysis in Single-Cell RNA Sequencing Studies [1,599 bytes]
- (hist) Accurate proteome-wide label-free quantification by delayed normalization and maximal peptide ratio extraction, termed MaxLFQ [1,600 bytes]
- (hist) Identification and Correction of Additive and Multiplicative Spatial Biases in Experimental High-Throughput Screening [1,601 bytes]
- (hist) A systematic study of normalization methods for Infinium 450K methylation data using whole-genome bisulfite sequencing data [1,601 bytes]
- (hist) Comprehensive evaluation of untargeted metabolomics data processing software in feature detection, quantification and discriminating marker selection [1,602 bytes]
- (hist) A comprehensive benchmarking study of protocols and sequencing platforms for 16S rRNA community profiling [1,602 bytes]
- (hist) OpenMS: a flexible open-source software platform for mass spectrometry data analysis [1,603 bytes]
- (hist) Performance Evaluation and Online Realization of Data-driven Normalization Methods Used in LC/MS based Untargeted Metabolomics Analysis [1,603 bytes]
- (hist) Bioinformatics and Statistics: LC‐MS (/MS) Data Preprocessing for Biomarker Discovery [1,604 bytes]
- (hist) Microbiome differential abundance methods produce different results across 38 datasets [1,605 bytes]
- (hist) An Automated Pipeline for High-Throughput Label-Free Quantitative Proteomics [1,611 bytes]
- (hist) Detecting and overcoming systematic bias in high-throughput screening technologies: a comprehensive review of practical issues and methodological solutions [1,623 bytes]
- (hist) Benchmarking microbiome transformations favors experimental quantitative approaches to address compositionality and sampling depth biases [1,625 bytes]
- (hist) Evaluation of the microba community profiler for taxonomic profiling of metagenomic datasets from the human gut microbiome [1,627 bytes]
- (hist) Improved Peak Detection and Deconvolution of Native Electrospray Mass Spectra from Large Protein Complexes [1,638 bytes]
- (hist) Simultaneous Improvement in the Precision, Accuracy and Robustness of Label-free Proteome Quantification by Optimizing Data Manipulation Chains [1,645 bytes]
- (hist) Peakbin selection in mass spectrometry data using a consensus approach with estimation of distribution algorithms [1,650 bytes]
- (hist) Benchmark of data processing methods and machine learning models for gut microbiome-based diagnosis of inflammatory bowel disease [1,667 bytes]
- (hist) Predicting Breast Cancer Survivability Using Data Mining Techniques [1,785 bytes]
- (hist) Review, evaluation, and discussion of the challenges of missing value imputation for mass spectrometry-based label-free global proteomics [1,804 bytes]
- (hist) The effects of nonignorable missing data on label-free mass spectrometry proteomics experiments [1,843 bytes]
- (hist) Review, evaluation, and discussion of the challenges of missing value imputation for mass spectrometry-based label-free global proteomics. [1,849 bytes]
- (hist) DMRfinder: efficiently identifying differentially methylated regions from MethylC-seq data [1,864 bytes]
- (hist) Guidelines for Summarizing a Literature Study [2,048 bytes]
- (hist) Evaluation of Derivative-Free Optimizers for Parameter Estimation in Systems Biology [2,068 bytes]
- (hist) Comparison of statistical methods for classification of ovarian cancer using mass spectrometry data [2,147 bytes]
- (hist) Hybrid optimization method with general switching strategy for parameter estimation [2,405 bytes]
- (hist) Benchmark problems for dynamic modeling of intracellular processes [2,407 bytes]
- (hist) Toward a gold standard for benchmarking gene set enrichment analysis [2,449 bytes]
- (hist) A comparison of methods for quantifying prediction uncertainty in systems biology [2,506 bytes]
- (hist) Hierarchical optimization for the efficient parametrization of ODE models [2,609 bytes]
- (hist) Accounting for the Multiple Natures of Missing Values in Label-Free Quantitative Proteomics Data Sets to Compare Imputation Strategies [2,763 bytes]