ArticleProteomics2018
Future Prospects of Spectral Clustering Approaches in Proteomics.
Article in Proteomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- A Comprehensive Evaluation of Consensus Spectrum Generation Methods in Proteomics.Journal of proteome research · 2022Article
- CHICKN: extraction of peptide chromatographic elution profiles from large scale mass spectrometry data by means of Wasserstein compressive hierarchical cluster analysis.BMC bioinformatics · 2021Article
- The Human Immunopeptidome Project: A Roadmap to Predict and Treat Immune Diseases.Molecular & cellular proteomics : MCP · 2020Article
- Irreversible oxidative post-translational modifications in heart disease.Expert review of proteomics · 2019Review
- Spectral Clustering Improves Label-Free Quantification of Low-Abundant Proteins.Journal of proteome research · 2019Article
- The PRIDE database and related tools and resources in 2019: improving support for quantification data.Nucleic acids research · 2019Article
- Future Prospects of Spectral Clustering Approaches in Proteomics.Proteomics · 2018Article
- Proteomic repository data submission, dissemination, and reuse: key messages.Expert review of proteomicsReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
In this article, current and future applications of spectral clustering are discussed in the context of mass spectrometry-based proteomics approaches. First of all, the main algorithms and tools that can currently be used to perform spectral clustering are introduced. In addition, its main applications and their use in current computational proteomics workflows are explained, including the generation of spectral libraries and spectral archives. Finally, possible future directions for spectral clustering, including its potential use to achieve a deeper coverage of the proteome and the discovery of novel post-translational modifications and single amino acid variants.
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What OpenQuestion holds
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.