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MSImpute: Imputation of label-free mass spectrometry peptides by low-rank approximation
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Calibration plot for proteomics: A graphical tool to visually check the assumptions underlying FDR control in quantitative experiments
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Data‐Independent Acquisition Mass Spectrometry‐Based Proteomics and Software Tools: A Glimpse in 2020
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Gromov–Wasserstein Distances and the Metric Approach to Object Matching
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Accounting for the Multiple Natures of Missing Values in Label-Free Quantitative Proteomics Data Sets to Compare Imputation Strategies
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Comparison of Protein Quantification in a Complex Background by DIA and TMT Workflows with Fixed Instrument Time
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Review, Evaluation, and Discussion of the Challenges of Missing Value Imputation for Mass Spectrometry-Based Label-Free Global Proteomics
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Climate policy implications of nonlinear decline of Arctic land permafrost and other cryosphere elements
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The art of using t-SNE for single-cell transcriptomics
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Decoding hind limb kinematics from neuronal activity of the dorsal horn neurons using multiple level learning algorithm
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Missing Value Imputation Approach for Mass Spectrometry-based Metabolomics Data
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Erratum: Parallel genome-scale loss of function screens in 216 cancer cell lines for the identification of context-specific genetic dependencies
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Extending the Limits of Quantitative Proteome Profiling with Data-Independent Acquisition and Application to Acetaminophen-Treated Three-Dimensional Liver Microtissues
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Absolute Quantification of Proteins by LCMSE
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Targeted Data Extraction of the MS/MS Spectra Generated by Data-independent Acquisition: A New Concept for Consistent and Accurate Proteome Analysis
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Fully conditional specification in multivariate imputation
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Missing value estimation methods for DNA microarrays
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Eukaryote-Conserved Methylarginine Is Absent in Diplomonads and Functionally Compensated inGiardia
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limma powers differential expression analyses for RNA-sequencing and microarray studies
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Normalization and missing value imputation for label-free LC-MS analysis
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The case for well-conducted experiments to validate statistical protocols for 2D gels: different pre-processing = different lists of significant proteins
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Missing-Data Methods for Generalized Linear Models
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Flexible Imputation of Missing Data, Second Edition
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A step-by-step workflow for low-level analysis of single-cell RNA-seq data with Bioconductor
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mice: Multivariate Imputation by Chained Equations inR
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Statistical Analysis With Missing Data
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imputeLCMD: A Collection of Methods for Left-Censored Missing Data Imputation
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Matrix Completion and Low-Rank SVD via Fast Alternating Least Squares
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Opportunities for pharmacoproteomics in biomarker discovery
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MCQR : Enhancing the Processing and Analysis of Quantitative Proteomics Data by Incorporating Chromatography and Mass Spectrometry Information
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Functional divergence of the two Elongator subcomplexes during neurodevelopment
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Multi-omic characterisation as a tool to improve knowledge, valorisation and conservation of wild fruit genetic resources: the case of Arbutus unedo L
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