Showing 1 - 20 results of 43 for search 'protein quantification algorithm', query time: 0.27s Refine Results
  1. 1

    FLASHQuant: A Fast Algorithm for Proteoform Quantification in Top-Down Proteomics by Jihyung Kim (7243529)

    Published 2024
    “…In benchmark tests performed with both spike-in proteins and proteome-level mixture data sets, FLASHQuant was shown to perform highly accurate and reproducible quantification in short runtimes of just a few minutes per LC-MS run. …”
  2. 2

    FLASHQuant: A Fast Algorithm for Proteoform Quantification in Top-Down Proteomics by Jihyung Kim (7243529)

    Published 2024
    “…In benchmark tests performed with both spike-in proteins and proteome-level mixture data sets, FLASHQuant was shown to perform highly accurate and reproducible quantification in short runtimes of just a few minutes per LC-MS run. …”
  3. 3

    FLASHQuant: A Fast Algorithm for Proteoform Quantification in Top-Down Proteomics by Jihyung Kim (7243529)

    Published 2024
    “…In benchmark tests performed with both spike-in proteins and proteome-level mixture data sets, FLASHQuant was shown to perform highly accurate and reproducible quantification in short runtimes of just a few minutes per LC-MS run. …”
  4. 4

    FLASHQuant: A Fast Algorithm for Proteoform Quantification in Top-Down Proteomics by Jihyung Kim (7243529)

    Published 2024
    “…In benchmark tests performed with both spike-in proteins and proteome-level mixture data sets, FLASHQuant was shown to perform highly accurate and reproducible quantification in short runtimes of just a few minutes per LC-MS run. …”
  5. 5

    Decoding the Impact of Isolation Window Selection and QuantUMS Filtering in DIA-NN for DIA Quantification of Peptides and Proteins by Jorge da Cruz Moschem (21684316)

    Published 2025
    “…DIA-NN is the most popular software for DIA analysis under an academic use license. The QuantUMS algorithm in DIA-NN improves quantification quality control by calculating three scores (protein group MaxLFQ quality, empirical quality, and quantity quality) that assess the agreement between MS1 and MS2 features. …”
  6. 6

    Intelligent Visualization of Single Microbead Bubbling Enables Attomolar Protein Quantification by Jingjing Shi (407360)

    Published 2025
    “…Quantification of low-abundance proteins in biofluids using affordable and portable biosensors stands as the top priority for point-of-care testing and in-field disease screening/monitoring. …”
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