Detection of cancer-specific markers amid massive mass spectral data.
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Changes in the Proteome of Langat-Infected Ixodes scapularis ISE6 Cells: Metabolic Pathways Associated with Flavivirus InfectionA hybrid feature subset selection algorithm for analysis of high correlation proteomic dataImportance of communication between producers and consumers of publicly available experimental data.Ovarian cancer identification based on dimensionality reduction for high-throughput mass spectrometry data.Detection of bladder cancer using proteomic profiling of urine sedimentsProteomics and the analysis of proteomic data: an overview of current protein-profiling technologiesCorrecting common errors in identifying cancer-specific serum peptide signaturesMass spectrometry in diagnostic oncoproteomics.A simple method to combine multiple molecular biomarkers for dichotomous diagnostic classification.Proteomic biomarker identification for diagnosis of early relapse in ovarian cancer.Detection of venous thromboembolism by proteomic serum biomarkers.A robust biomarker discovery pipeline for high-performance mass spectrometry data.Bias, randomization, and ovarian proteomic data: a reply to "producers and consumers".Understanding the characteristics of mass spectrometry data through the use of simulation.Parametric power spectral density analysis of noise from instrumentation in MALDI TOF mass spectrometry.Comparison of computational algorithms for the classification of liver cancer using SELDI mass spectrometry: a case study.Ovarian cancer classification based on mass spectrometry analysis of seraThe role of proteomics in the diagnosis and treatment of ovarian cancer.Clinical proteomics: present and future prospects.Opportunities and challenges in omics.Serum proteome profiling detects myelodysplastic syndromes and identifies CXC chemokine ligands 4 and 7 as markers for advanced diseaseMethodologies and experimental platforms for generating and analysing microarray and mass spectrometry-based omics data to support P4 medicine.Anti-tumor antibodies in ovarian cancer.Classification algorithms for phenotype prediction in genomics and proteomics.Phyloproteomics: what phylogenetic analysis reveals about serum proteomics.Multiple biomarker panels for early detection of ovarian cancer.Biomarker discovery in ovarian cancer.Bias as a threat to the validity of cancer molecular-marker research.The potential of serum proteomics for detection of cancer: promise or only hope?Qualified predictions for microarray and proteomics pattern diagnostics with confidence machines.Lessons from controversy: ovarian cancer screening and serum proteomics.Signal in Noise: Evaluating Reported Reproducibility of Serum Proteomic Tests for Ovarian Cancer
P2860
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P2860
Detection of cancer-specific markers amid massive mass spectral data.
description
2003 nî lūn-bûn
@nan
2003 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2003 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2003年の論文
@ja
2003年論文
@yue
2003年論文
@zh-hant
2003年論文
@zh-hk
2003年論文
@zh-mo
2003年論文
@zh-tw
2003年论文
@wuu
name
Detection of cancer-specific markers amid massive mass spectral data.
@ast
Detection of cancer-specific markers amid massive mass spectral data.
@en
type
label
Detection of cancer-specific markers amid massive mass spectral data.
@ast
Detection of cancer-specific markers amid massive mass spectral data.
@en
prefLabel
Detection of cancer-specific markers amid massive mass spectral data.
@ast
Detection of cancer-specific markers amid massive mass spectral data.
@en
P2093
P2860
P356
P1476
Detection of cancer-specific markers amid massive mass spectral data.
@en
P2093
James Glimm
John S Kovach
Manlong Rao
Xuena Wang
P2860
P304
14666-14671
P356
10.1073/PNAS.2532248100
P407
P577
2003-12-01T00:00:00Z