Statistical considerations of optimal study design for human plasma proteomics and biomarker discovery - Wikidata - wikimedia - TriplyDB

Statistical considerations of optimal study design for human plasma proteomics and biomarker discovery

Statistical considerations of optimal study design for human plasma proteomics and biomarker discovery

http://www.wikidata.org/entity/Q35873957

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Determination of variation parameters as a crucial step in designing TMT-based clinical proteomics experiments Discovery and Validation of Predictive Biomarkers of Survival for Non-small Cell Lung Cancer Patients Undergoing Radical Radiotherapy: Two Proteins With Predictive Value.Statistical protein quantification and significance analysis in label-free LC-MS experiments with complex designs.Isobaric labeling-based relative quantification in shotgun proteomics.Potential predictive plasma biomarkers for cervical cancer by 2D-DIGE proteomics and Ingenuity Pathway Analysis.Proteomics analysis of bodily fluids in pancreatic cancer Identification of IGFBP2 and IGFBP3 As Compensatory Biomarkers for CA19-9 in Early-Stage Pancreatic Cancer Using a Combination of Antibody-Based and LC-MS/MS-Based Proteomics Additions to the Human Plasma Proteome via a Tandem MARS Depletion iTRAQ-Based Workflow.Phase II Trial of Cetuximab and Conformal Radiotherapy Only in Locally Advanced Pancreatic Cancer with Concurrent Tissue Sampling Feasibility Study.Use of PD biomarkers to drive dose selection and early clinical decision making.Quantitation with chemical tagging reagents in biomarker studies.Epidemiologic design and analysis for proteomic studies: a primer on -omic technologies.Antigen arrays for profiling autoantibody repertoires.Temporal profiles of plasma proteome during childhood development.Proteome-wide analyses of human hepatocytes during differentiation and dedifferentiation Revisiting biomarker discovery by plasma proteomics.A caspase-3 'death-switch' in colorectal cancer cells for induced and synchronous tumor apoptosis in vitro and in vivo facilitates the development of minimally invasive cell death biomarkers Complementary iTRAQ proteomics and RNA-seq transcriptomics reveal multiple levels of regulation in response to nitrogen starvation in Synechocystis sp. PCC 6803.Discovery of a Potential Plasma Protein Biomarker Panel for Acute-on-Chronic Liver Failure Induced by Hepatitis B Virus.Analysis of the plasma proteome using iTRAQ and TMT-based Isobaric labeling.A Critical Evaluation of Wet Biomarkers for Huntington's Disease: Current Status and Ways Forward.

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P2860

Statistical considerations of optimal study design for human plasma proteomics and biomarker discovery

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2012 nî lūn-bûn

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name

Statistical considerations of ...... eomics and biomarker discovery

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Statistical considerations of ...... eomics and biomarker discovery

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Statistical considerations of ...... eomics and biomarker discovery

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Statistical considerations of ...... eomics and biomarker discovery

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Statistical considerations of ...... eomics and biomarker discovery

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Statistical considerations of ...... eomics and biomarker discovery

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Journal of Proteome Research

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Cong Zhou

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Kathryn L Simpson

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Martin J Dawson

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Michael J Walker

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Patricia Price

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P2860

Statistical significance for genomewide studies

Target-decoy search strategy for increased confidence in large-scale protein identifications by mass spectrometry

Multiplexed protein quantitation in Saccharomyces cerevisiae using amine-reactive isobaric tagging reagents

Comparative study of three proteomic quantitative methods, DIGE, cICAT, and iTRAQ, using 2D gel- or LC-MALDI TOF/TOF.

Detection of biomarkers with a multiplex quantitative proteomic platform in cerebrospinal fluid of patients with neurodegenerative disorders.

Linear mixed model selection for false discovery rate control in microarray data analysis.

A proteomic approach for plasma biomarker discovery with iTRAQ labelling and OFFGEL fractionation.

General statistical modeling of data from protein relative expression isobaric tags.

Proteomic analysis of pancreatic juice for the identification of biomarkers of pancreatic cancer.

Design issues for cDNA microarray experiments.

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2103-2113

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scholarly article

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10.1021/PR200636X

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4

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11

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Catharine M. West

Richard D. Unwin

Anthony D Whetton

Agata Rembielak

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2012-03-12T00:00:00Z

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231738627

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22338609

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3320746

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