Addressing the challenge of defining valid proteomic biomarkers and classifiers. - Wikidata - thesis-toulmin - TriplyDB

Addressing the challenge of defining valid proteomic biomarkers and classifiers.

Addressing the challenge of defining valid proteomic biomarkers and classifiers.

http://www.wikidata.org/entity/Q33786157

about

Urinary proteomics to support diagnosis of stroke Two classifiers based on serum peptide pattern for prediction of HBV-induced liver cirrhosis using MALDI-TOF MS.Multicentre prospective validation of a urinary peptidome-based classifier for the diagnosis of type 2 diabetic nephropathy.Identification of urinary peptide biomarkers associated with rheumatoid arthritis.CE-MS for the analysis of intact proteins 2010-2012.Identification of Symptomatic Fetuses Infected with Cytomegalovirus Using Amniotic Fluid Peptide Biomarkers Serum profiling by MALDI-TOF mass spectrometry as a diagnostic tool for domoic acid toxicosis in California sea lions.Urinary proteomic profiling in severe obesity and obstructive sleep apnoea with CPAP treatment.Comparison of different statistical approaches for urinary peptide biomarker detection in the context of coronary artery disease.Metabolomics variable selection and classification in the presence of observations below the detection limit using an extension of ERp.Urinary angiotensinogen and risk of severe AKI.Review, evaluation, and discussion of the challenges of missing value imputation for mass spectrometry-based label-free global proteomics Integrative analysis of extracellular and intracellular bladder cancer cell line proteome with transcriptome: improving coverage and validity of -omics findings.Biomarker discovery in mass spectrometry-based urinary proteomics.Urinary proteome analysis in hypertensive patients with left ventricular diastolic dysfunction.Post-translational modifications of pancreatic fluid proteins collected via the endoscopic pancreatic function test (ePFT).Interlaboratory study on differential analysis of protein glycosylation by mass spectrometry: the ABRF glycoprotein research multi-institutional study 2012 A capillary electrophoresis coupled to mass spectrometry pipeline for long term comparable assessment of the urinary metabolome.Urinary proteomics can define distinct diagnostic inflammatory arthritis subgroups.Clinical proteomic biomarkers: relevant issues on study design & technical considerations in biomarker development.Clinical application of urinary proteomics/peptidomics.Growing trend of CE at the omics level: the frontier of systems biology--an update.The proteomic future: where mass spectrometry should be taking us.Recent advances in capillary electrophoresis coupled to mass spectrometry for clinical proteomic applications.Challenges in the research and development of new human vaccines.Proteomic urinary biomarker approach in renal disease: from discovery to implementation.Urinary proteomics and molecular determinants of chronic kidney disease: possible link to proteases.Advances in urinary proteome analysis and applications in systems biology.CE-MS-based proteomics in biomarker discovery and clinical application.Proteomic biomarkers in kidney disease: issues in development and implementation.Epidemiologic design and analysis for proteomic studies: a primer on -omic technologies.Body fluid peptide and protein signatures in diabetic kidney diseases.Recent progress in urinary proteome analysis for prostate cancer diagnosis and management.A multivariate predictive modeling approach reveals a novel CSF peptide signature for both Alzheimer's Disease state classification and for predicting future disease progression.Urinary biomarkers to predict CKD: is the future in multi-marker panels?Proteomics approaches in cervical cancer: focus on the discovery of biomarkers for diagnosis and drug treatment monitoring.Implementation of CE-MS-identified proteome-based biomarker panels in drug development and patient management.The long path towards implementation of clinical proteomics: Exemplified based on CKD273.Noninvasive diagnosis of chronic kidney diseases using urinary proteome analysis.Urinary peptide-based classifier CKD273: towards clinical application in chronic kidney disease.

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Addressing the challenge of defining valid proteomic biomarkers and classifiers.

http://www.wikidata.org/entity/Q33786157

description

2010 nî lūn-bûn

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2010 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած

@hyw

2010 թվականի դեկտեմբերին հրատարակված գիտական հոդված

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2010年の論文

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2010年論文

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2010年論文

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2010年論文

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2010年論文

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2010年論文

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2010年论文

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name

Addressing the challenge of defining valid proteomic biomarkers and classifiers.

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Addressing the challenge of defining valid proteomic biomarkers and classifiers.

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type

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Addressing the challenge of defining valid proteomic biomarkers and classifiers.

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Addressing the challenge of defining valid proteomic biomarkers and classifiers.

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prefLabel

Addressing the challenge of defining valid proteomic biomarkers and classifiers.

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Addressing the challenge of defining valid proteomic biomarkers and classifiers.

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1471-2105-11-594

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BMC Bioinformatics

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Addressing the challenge of defining valid proteomic biomarkers and classifiers.

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Alexandros Kalousis

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Keith Harris

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Marion Haubitz

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Mohammed Dakna

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P2860

Sample size and power estimation for studies with health related quality of life outcomes: a comparison of four methods using the SF-36

Urinary collagen fragments are significantly altered in diabetes: a link to pathophysiology

Multicentric validation of proteomic biomarkers in urine specific for diabetic nephropathy

Naturally occurring human urinary peptides for use in diagnosis of chronic kidney disease.

Identification and validation of urinary biomarkers for differential diagnosis and evaluation of therapeutic intervention in anti-neutrophil cytoplasmic antibody-associated vasculitis

CE-MS analysis of the human urinary proteome for biomarker discovery and disease diagnostics.

Capillary electrophoresis-mass spectrometry as a powerful tool in biomarker discovery and clinical diagnosis: an update of recent developments

Discovery and validation of new protein biomarkers for urothelial cancer: a prospective analysis.

Estimating dataset size requirements for classifying DNA microarray data.

Use of proteomic patterns in serum to identify ovarian cancer.

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11

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Sebastien Carpentier

Joost P Schanstra

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2010-12-10T00:00:00Z

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49730876

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