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Expert Review of Proteomics
|
December 22, 2006
Genome annotating proteomics pipelines: available tools
Ian Shadforth, Conrad Bessant
Proteomics
|
October 1, 2005
Protein and peptide identification algorithms using MS for use in high-throughput, automated pipelines
Ian Shadforth, Daniel Crowther, Conrad Bessant
Proteomics
|
April 9, 2005
Determination of partial amino acid composition from tandem mass spectra for use in peptide identification strategies
Ian Shadforth, Kieran Todd, Daniel Crowther, et al.
Journal of Proteome Research
|
October 7, 2006
GAPP: a fully automated software for the confident identification of human peptides from tandem mass spectra
Ian Shadforth, Weibing Xu, Daniel Crowther, et al.
Rapid Communications in Mass Spectrometry : RCM
|
October 20, 2005
Confident protein identification using the average peptide score method coupled with search-specific, ab initio thresholds
Ian Shadforth, Tom Dunkley, Kathryn Lilley, et al.
Journal of Visualized Experiments : Jove
|
August 26, 2024
Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
Timothy Burton, Navid Nemati, Farhad Fathieh, et al.
Diagnostics (Basel, Switzerland)
|
May 11, 2024
Pulmonary Hypertension Detection Non-Invasively at Point-of-Care Using a Machine-Learned Algorithm
Navid Nemati, Timothy Burton, Farhad Fathieh, et al.
JACC. Case Reports
|
September 5, 2025
Facilitating Earlier Diagnosis of Pulmonary Hypertension Using a Novel Noninvasive Diagnostic
Rieta Aben, Timothy Burton, Farhad Fathieh, et al.
Plos One
|
August 9, 2018
Cardiac Phase Space Tomography: A novel method of assessing coronary artery disease utilizing machine learning
Thomas D Stuckey, Roger S Gammon, Robi Goswami, et al.
Frontiers in Cardiovascular Medicine
|
September 19, 2022
Development and validation of a machine learned algorithm to IDENTIFY functionally significant coronary artery disease
Thomas Stuckey, Frederick Meine, Thomas McMinn, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 13) with videos related to
Sort By:
Page
of 2
Expert Review of Proteomics
|
December 22, 2006
Genome annotating proteomics pipelines: available tools
Ian Shadforth, Conrad Bessant
Proteomics
|
October 1, 2005
Protein and peptide identification algorithms using MS for use in high-throughput, automated pipelines
Ian Shadforth, Daniel Crowther, Conrad Bessant
Proteomics
|
April 9, 2005
Determination of partial amino acid composition from tandem mass spectra for use in peptide identification strategies
Ian Shadforth, Kieran Todd, Daniel Crowther, et al.
Journal of Proteome Research
|
October 7, 2006
GAPP: a fully automated software for the confident identification of human peptides from tandem mass spectra
Ian Shadforth, Weibing Xu, Daniel Crowther, et al.
Rapid Communications in Mass Spectrometry : RCM
|
October 20, 2005
Confident protein identification using the average peptide score method coupled with search-specific, ab initio thresholds
Ian Shadforth, Tom Dunkley, Kathryn Lilley, et al.
Journal of Visualized Experiments : Jove
|
August 26, 2024
Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
Timothy Burton, Navid Nemati, Farhad Fathieh, et al.
Diagnostics (Basel, Switzerland)
|
May 11, 2024
Pulmonary Hypertension Detection Non-Invasively at Point-of-Care Using a Machine-Learned Algorithm
Navid Nemati, Timothy Burton, Farhad Fathieh, et al.
JACC. Case Reports
|
September 5, 2025
Facilitating Earlier Diagnosis of Pulmonary Hypertension Using a Novel Noninvasive Diagnostic
Rieta Aben, Timothy Burton, Farhad Fathieh, et al.
Plos One
|
August 9, 2018
Cardiac Phase Space Tomography: A novel method of assessing coronary artery disease utilizing machine learning
Thomas D Stuckey, Roger S Gammon, Robi Goswami, et al.
Frontiers in Cardiovascular Medicine
|
September 19, 2022
Development and validation of a machine learned algorithm to IDENTIFY functionally significant coronary artery disease
Thomas Stuckey, Frederick Meine, Thomas McMinn, et al.
Page
of 2