Matches in SemOpenAlex for { <https://semopenalex.org/work/W3089590130> ?p ?o ?g. }
- W3089590130 abstract "Mass spectrometry is a widespread approach to work out what are the constituents of a material. Atoms and molecules are removed from the material and collected, and subsequently, a critical step is to infer their correct identities based from patterns formed in their mass-to-charge ratios and relative isotopic abundances. However, this identification step still mainly relies on individual user's expertise, making its standardization challenging, and hindering efficient data processing. Here, we introduce an approach that leverages modern machine learning technique to identify peak patterns in time-of-flight mass spectra within microseconds, outperforming human users without loss of accuracy. Our approach is cross-validated on mass spectra generated from different time-of-flight mass spectrometry(ToF-MS) techniques, offering the ToF-MS community an open-source, intelligent mass spectra analysis." @default.
- W3089590130 created "2020-10-08" @default.
- W3089590130 creator A5002492211 @default.
- W3089590130 creator A5009882154 @default.
- W3089590130 creator A5020554327 @default.
- W3089590130 creator A5041020801 @default.
- W3089590130 creator A5060523046 @default.
- W3089590130 creator A5064529685 @default.
- W3089590130 creator A5066796172 @default.
- W3089590130 creator A5072107674 @default.
- W3089590130 creator A5086156055 @default.
- W3089590130 creator A5086485895 @default.
- W3089590130 creator A5090168628 @default.
- W3089590130 date "2020-10-02" @default.
- W3089590130 modified "2023-10-03" @default.
- W3089590130 title "Machine-learning-enhanced time-of-flight mass spectrometry analysis" @default.
- W3089590130 cites W1506806321 @default.
- W3089590130 cites W1583355998 @default.
- W3089590130 cites W1678356000 @default.
- W3089590130 cites W1901616594 @default.
- W3089590130 cites W1968280571 @default.
- W3089590130 cites W1969128411 @default.
- W3089590130 cites W1972995436 @default.
- W3089590130 cites W1974830441 @default.
- W3089590130 cites W1977405785 @default.
- W3089590130 cites W1978823829 @default.
- W3089590130 cites W1988164595 @default.
- W3089590130 cites W1988667155 @default.
- W3089590130 cites W1988823639 @default.
- W3089590130 cites W1999830331 @default.
- W3089590130 cites W2004640617 @default.
- W3089590130 cites W2016114710 @default.
- W3089590130 cites W2019071103 @default.
- W3089590130 cites W2019655003 @default.
- W3089590130 cites W2026572419 @default.
- W3089590130 cites W2036789712 @default.
- W3089590130 cites W2042861858 @default.
- W3089590130 cites W2049075701 @default.
- W3089590130 cites W2051130392 @default.
- W3089590130 cites W2052847463 @default.
- W3089590130 cites W2065607206 @default.
- W3089590130 cites W2068366282 @default.
- W3089590130 cites W2072487632 @default.
- W3089590130 cites W2076469115 @default.
- W3089590130 cites W2086110133 @default.
- W3089590130 cites W2093748242 @default.
- W3089590130 cites W2110174460 @default.
- W3089590130 cites W2111079479 @default.
- W3089590130 cites W2112143438 @default.
- W3089590130 cites W2115584760 @default.
- W3089590130 cites W2131090908 @default.
- W3089590130 cites W2150700371 @default.
- W3089590130 cites W2161630654 @default.
- W3089590130 cites W2284200877 @default.
- W3089590130 cites W2323170603 @default.
- W3089590130 cites W2324787542 @default.
- W3089590130 cites W2326444094 @default.
- W3089590130 cites W2505096419 @default.
- W3089590130 cites W2519691041 @default.
- W3089590130 cites W2553989723 @default.
- W3089590130 cites W2733963419 @default.
- W3089590130 cites W2789350641 @default.
- W3089590130 cites W2799323124 @default.
- W3089590130 cites W2811497815 @default.
- W3089590130 cites W2851575646 @default.
- W3089590130 cites W2890148447 @default.
- W3089590130 cites W2911231507 @default.
- W3089590130 cites W2918283742 @default.
- W3089590130 cites W2947763854 @default.
- W3089590130 cites W2950777005 @default.
- W3089590130 cites W2962979321 @default.
- W3089590130 cites W2979874034 @default.
- W3089590130 cites W3007231177 @default.
- W3089590130 cites W3022049065 @default.
- W3089590130 cites W3035768568 @default.
- W3089590130 cites W3103145119 @default.
- W3089590130 cites W429911524 @default.
- W3089590130 cites W560546549 @default.
- W3089590130 doi "https://doi.org/10.48550/arxiv.2010.01030" @default.
- W3089590130 hasPublicationYear "2020" @default.
- W3089590130 type Work @default.
- W3089590130 sameAs 3089590130 @default.
- W3089590130 citedByCount "0" @default.
- W3089590130 crossrefType "posted-content" @default.
- W3089590130 hasAuthorship W3089590130A5002492211 @default.
- W3089590130 hasAuthorship W3089590130A5009882154 @default.
- W3089590130 hasAuthorship W3089590130A5020554327 @default.
- W3089590130 hasAuthorship W3089590130A5041020801 @default.
- W3089590130 hasAuthorship W3089590130A5060523046 @default.
- W3089590130 hasAuthorship W3089590130A5064529685 @default.
- W3089590130 hasAuthorship W3089590130A5066796172 @default.
- W3089590130 hasAuthorship W3089590130A5072107674 @default.
- W3089590130 hasAuthorship W3089590130A5086156055 @default.
- W3089590130 hasAuthorship W3089590130A5086485895 @default.
- W3089590130 hasAuthorship W3089590130A5090168628 @default.
- W3089590130 hasBestOaLocation W30895901301 @default.
- W3089590130 hasConcept C111919701 @default.
- W3089590130 hasConcept C113196181 @default.
- W3089590130 hasConcept C145148216 @default.
- W3089590130 hasConcept C162356407 @default.