A review on quantitative multiplexed proteomics
Over the last few decades, mass spectrometry‐based proteomics has become an
increasingly powerful tool that is now able to routinely detect and quantify thousands of …
increasingly powerful tool that is now able to routinely detect and quantify thousands of …
Machine learning applications for mass spectrometry-based metabolomics
The metabolome of an organism depends on environmental factors and intracellular
regulation and provides information about the physiological conditions. Metabolomics helps …
regulation and provides information about the physiological conditions. Metabolomics helps …
[HTML][HTML] Pan-cancer proteomic map of 949 human cell lines
The proteome provides unique insights into disease biology beyond the genome and
transcriptome. A lack of large proteomic datasets has restricted the identification of new …
transcriptome. A lack of large proteomic datasets has restricted the identification of new …
Bioinformatics methods for mass spectrometry-based proteomics data analysis
Recent advances in mass spectrometry (MS)-based proteomics have enabled tremendous
progress in the understanding of cellular mechanisms, disease progression, and the …
progress in the understanding of cellular mechanisms, disease progression, and the …
The impact of nanoparticle protein corona on cytotoxicity, immunotoxicity and target drug delivery
In a perfect sequence of events, nanoparticles (NPs) are injected into the bloodstream
where they circulate until they reach the target tissue. The ligand on the NP surface …
where they circulate until they reach the target tissue. The ligand on the NP surface …
Accounting for the multiple natures of missing values in label-free quantitative proteomics data sets to compare imputation strategies
Missing values are a genuine issue in label-free quantitative proteomics. Recent works have
surveyed the different statistical methods to conduct imputation and have compared them on …
surveyed the different statistical methods to conduct imputation and have compared them on …
WGCNA application to proteomic and metabolomic data analysis
Progresses in mass spectrometric instrumentation and bioinformatics identification
algorithms made over the past decades allow quantitative measurements of relative or …
algorithms made over the past decades allow quantitative measurements of relative or …
Machine learning and feature selection for drug response prediction in precision oncology applications
In-depth modeling of the complex interplay among multiple omics data measured from
cancer cell lines or patient tumors is providing new opportunities toward identification of …
cancer cell lines or patient tumors is providing new opportunities toward identification of …
Phosphoproteomics in the age of rapid and deep proteome profiling
Protein phosphorylation is a post-translational modification (PTM) that orchestrates a diverse
array of cellular processes. Because this modification serves as a rapid and reversible …
array of cellular processes. Because this modification serves as a rapid and reversible …
Random forest-based imputation outperforms other methods for imputing LC-MS metabolomics data: a comparative study
Background LC-MS technology makes it possible to measure the relative abundance of
numerous molecular features of a sample in single analysis. However, especially non …
numerous molecular features of a sample in single analysis. However, especially non …