Optimization Performance Comparison of Metaheuristic Algorithms. by Xie Qiu (13243770)

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Metrics obtained for different regression algorithms after Hyperparamter Optimization. by Silverio García-Cortés (4746477)

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

“…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. …”

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

“…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. …”

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

“…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. …”

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

“…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. …”

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)

“…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. …”

Leiden algorithm-identified clusters for uniform manifold approximation and projection (UMAP) visualization of optimized gene sets. by Zhizhong Wang (838758)

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

“…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. …”

The GOR4 and SOPMA algorithm findings. by Ahmad Abdullah Mahdeen (19704401)

High-Coverage Stereoproteome Mapping Uncovers Pervasive Protein Stereoisomerization Associated with Neurodegeneration by Xia Xu (83500)

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High-Coverage Stereoproteome Mapping Uncovers Pervasive Protein Stereoisomerization Associated with Neurodegeneration by Xia Xu (83500)

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High-Coverage Stereoproteome Mapping Uncovers Pervasive Protein Stereoisomerization Associated with Neurodegeneration by Xia Xu (83500)

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High-Coverage Stereoproteome Mapping Uncovers Pervasive Protein Stereoisomerization Associated with Neurodegeneration by Xia Xu (83500)

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High-Coverage Stereoproteome Mapping Uncovers Pervasive Protein Stereoisomerization Associated with Neurodegeneration by Xia Xu (83500)

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High-Coverage Stereoproteome Mapping Uncovers Pervasive Protein Stereoisomerization Associated with Neurodegeneration by Xia Xu (83500)

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An instance of the IPP that can be solved by applying the algorithms for the DPP. by Jordan Moutet (21800145)

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Initialization of variables in the APDCA algorithm. by Yangsong He (13909371)

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Performance of algorithms outside the training species. by Sven B. Gould (12237287)

Unraveling of Phosphotyrosine Signaling Complexes Associated with T Cell Exhaustion Using Multiplex Co-Fractionation/Mass Spectrometry by Wei Liu (20030)

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