ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2023
ANPELA: Significantly Enhanced Quantification Tool for Cytometry-Based Single-Cell Proteomics.
Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Navigating the Landscape of Cytometry-Based Single-Cell Proteomics: Quantification, Annotation, and Resources.International journal of molecular sciences · 2026Review
- LocPro: A deep learning-based prediction of protein subcellular localization for promoting multi-directional pharmaceutical research.Journal of pharmaceutical analysis · 2025Article
- Case Report: Longitudinal mass cytometry profiling of a patient with disseminated histoplasmosis and secondary hemophagocytic lymphohistiocytosis.Frontiers in immunology · 2025Article
- Comprehensive evaluation and practical guideline of gating methods for high-dimensional cytometry data: manual gating, unsupervised clustering, and auto-gating.Briefings in bioinformatics · 2024Article
- Multi-scale variational autoencoder for imputation of missing values in untargeted metabolomics using whole-genome sequencing data.Computers in biology and medicine · 2024Article
- FERREG: ferroptosis-based regulation of disease occurrence, progression and therapeutic response.Briefings in bioinformatics · 2024Article
- VARIDT 3.0: the phenotypic and regulatory variability of drug transporter.Nucleic acids research · 2024Article
- SingPro: a knowledge base providing single-cell proteomic data.Nucleic acids research · 2024Article
- TheMarker: a comprehensive database of therapeutic biomarkers.Nucleic acids research · 2024Article
- TTD: Therapeutic Target Database describing target druggability information.Nucleic acids research · 2024Article
- ADCdb: the database of antibody-drug conjugates.Nucleic acids research · 2024Article
- RNAenrich: a web server for non-coding RNA enrichment.Bioinformatics (Oxford, England) · 2023Article
- ANPELA: Significantly Enhanced Quantification Tool for Cytometry-Based Single-Cell Proteomics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
ANPELA is widely used for quantifying traditional bulk proteomic data. Recently, there is a clear shift from bulk proteomics to the single-cell ones (SCP), for which powerful cytometry techniques demonstrate the fantastic capacity of capturing cellular heterogeneity that is completely overlooked by traditional bulk profiling. However, the in-depth and high-quality quantification of SCP data is still challenging and severely affected by the large numbers of quantification workflows and extreme performance dependence on the studied datasets. In other words, the proper selection of well-performing workflow(s) for any studied dataset is elusory, and it is urgently needed to have a significantly enhanced and accelerated tool to address this issue. However, no such tool is developed yet. Herein, ANPELA is therefore updated to its 2.0 version (https://idrblab.org/anpela/), which is unique in providing the most comprehensive set of quantification alternatives (>1000 workflows) among all existing tools, enabling systematic performance evaluation from multiple perspectives based on machine learning, and identifying the optimal workflow(s) using overall performance ranking together with the parallel computation. Extensive validation on different benchmark datasets and representative application scenarios suggest the great application potential of ANPELA in current SCP research for gaining more accurate and reliable biological insights.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.