FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2014752437> ?p ?o ?g. }

• W2014752437 endingPage "3883" @default.
• W2014752437 startingPage "3874" @default.
• W2014752437 abstract "Large-scale quantitative analyses of biological systems are often performed with few replicate experiments, leading to multiple nonidentical data sets due to missing values. For example, mass spectrometry driven proteomics experiments are frequently performed with few biological or technical replicates due to sample-scarcity or due to duty-cycle or sensitivity constraints, or limited capacity of the available instrumentation, leading to incomplete results where detection of significant feature changes becomes a challenge. This problem is further exacerbated for the detection of significant changes on the peptide level, for example, in phospho-proteomics experiments. In order to assess the extent of this problem and the implications for large-scale proteome analysis, we investigated and optimized the performance of three statistical approaches by using simulated and experimental data sets with varying numbers of missing values. We applied three tools, including standard t test, moderated t test, also known as limma, and rank products for the detection of significantly changing features in simulated and experimental proteomics data sets with missing values. The rank product method was improved to work with data sets containing missing values. Extensive analysis of simulated and experimental data sets revealed that the performance of the statistical analysis tools depended on simple properties of the data sets. High-confidence results were obtained by using the limma and rank products methods for analyses of triplicate data sets that exhibited more than 1000 features and more than 50% missing values. The maximum number of differentially represented features was identified by using limma and rank products methods in a complementary manner. We therefore recommend combined usage of these methods as a novel and optimal way to detect significantly changing features in these data sets. This approach is suitable for large quantitative data sets from stable isotope labeling and mass spectrometry experiments and should be applicable to large data sets of any type. An R script that implements the improved rank products algorithm and the combined analysis is available." @default.
• W2014752437 created "2016-06-24" @default.
• W2014752437 creator A5011317900 @default.
• W2014752437 creator A5054557695 @default.
• W2014752437 creator A5091329986 @default.
• W2014752437 date "2013-08-05" @default.
• W2014752437 modified "2023-10-13" @default.
• W2014752437 title "Assessment and Improvement of Statistical Tools for Comparative Proteomics Analysis of Sparse Data Sets with Few Experimental Replicates" @default.
• W2014752437 cites W1965806060 @default.
• W2014752437 cites W1966815294 @default.
• W2014752437 cites W1975721281 @default.
• W2014752437 cites W1976286254 @default.
• W2014752437 cites W1983473744 @default.
• W2014752437 cites W2006240877 @default.
• W2014752437 cites W2033889320 @default.
• W2014752437 cites W2035421116 @default.
• W2014752437 cites W2060369427 @default.
• W2014752437 cites W2065110399 @default.
• W2014752437 cites W2071225819 @default.
• W2014752437 cites W2071950451 @default.
• W2014752437 cites W2076035297 @default.
• W2014752437 cites W2081098333 @default.
• W2014752437 cites W2089689418 @default.
• W2014752437 cites W2089941226 @default.
• W2014752437 cites W2099255819 @default.
• W2014752437 cites W2105381419 @default.
• W2014752437 cites W2107598685 @default.
• W2014752437 cites W2126531896 @default.
• W2014752437 cites W2130320402 @default.
• W2014752437 cites W2140969503 @default.
• W2014752437 cites W2149459564 @default.
• W2014752437 cites W2150981032 @default.
• W2014752437 cites W2151186330 @default.
• W2014752437 cites W2155446916 @default.
• W2014752437 cites W2172215633 @default.
• W2014752437 cites W2172219706 @default.
• W2014752437 cites W2255057944 @default.
• W2014752437 doi "https://doi.org/10.1021/pr400045u" @default.
• W2014752437 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/23875961" @default.
• W2014752437 hasPublicationYear "2013" @default.
• W2014752437 type Work @default.
• W2014752437 sameAs 2014752437 @default.
• W2014752437 citedByCount "100" @default.
• W2014752437 countsByYear W20147524372013 @default.
• W2014752437 countsByYear W20147524372014 @default.
• W2014752437 countsByYear W20147524372015 @default.
• W2014752437 countsByYear W20147524372016 @default.
• W2014752437 countsByYear W20147524372017 @default.
• W2014752437 countsByYear W20147524372018 @default.
• W2014752437 countsByYear W20147524372019 @default.
• W2014752437 countsByYear W20147524372020 @default.
• W2014752437 countsByYear W20147524372021 @default.
• W2014752437 countsByYear W20147524372022 @default.
• W2014752437 countsByYear W20147524372023 @default.
• W2014752437 crossrefType "journal-article" @default.
• W2014752437 hasAuthorship W2014752437A5011317900 @default.
• W2014752437 hasAuthorship W2014752437A5054557695 @default.
• W2014752437 hasAuthorship W2014752437A5091329986 @default.
• W2014752437 hasConcept C104317684 @default.
• W2014752437 hasConcept C105795698 @default.
• W2014752437 hasConcept C114614502 @default.
• W2014752437 hasConcept C119857082 @default.
• W2014752437 hasConcept C124101348 @default.
• W2014752437 hasConcept C164226766 @default.
• W2014752437 hasConcept C2781162219 @default.
• W2014752437 hasConcept C33923547 @default.
• W2014752437 hasConcept C41008148 @default.
• W2014752437 hasConcept C46111723 @default.
• W2014752437 hasConcept C55493867 @default.
• W2014752437 hasConcept C86803240 @default.
• W2014752437 hasConcept C87007009 @default.
• W2014752437 hasConcept C9357733 @default.
• W2014752437 hasConceptScore W2014752437C104317684 @default.
• W2014752437 hasConceptScore W2014752437C105795698 @default.
• W2014752437 hasConceptScore W2014752437C114614502 @default.
• W2014752437 hasConceptScore W2014752437C119857082 @default.
• W2014752437 hasConceptScore W2014752437C124101348 @default.
• W2014752437 hasConceptScore W2014752437C164226766 @default.
• W2014752437 hasConceptScore W2014752437C2781162219 @default.
• W2014752437 hasConceptScore W2014752437C33923547 @default.
• W2014752437 hasConceptScore W2014752437C41008148 @default.
• W2014752437 hasConceptScore W2014752437C46111723 @default.
• W2014752437 hasConceptScore W2014752437C55493867 @default.
• W2014752437 hasConceptScore W2014752437C86803240 @default.
• W2014752437 hasConceptScore W2014752437C87007009 @default.
• W2014752437 hasConceptScore W2014752437C9357733 @default.
• W2014752437 hasIssue "9" @default.
• W2014752437 hasLocation W20147524371 @default.
• W2014752437 hasLocation W20147524372 @default.
• W2014752437 hasOpenAccess W2014752437 @default.
• W2014752437 hasPrimaryLocation W20147524371 @default.
• W2014752437 hasRelatedWork W1485231525 @default.
• W2014752437 hasRelatedWork W1589515948 @default.
• W2014752437 hasRelatedWork W1967524919 @default.
• W2014752437 hasRelatedWork W2064203776 @default.
• W2014752437 hasRelatedWork W2084540743 @default.
• W2014752437 hasRelatedWork W2086467200 @default.
• W2014752437 hasRelatedWork W2112860402 @default.

• next