Works matching IS 16159853 AND DT 2003 AND VI 3 AND IP 9
Results: 23
Editorial: Proteomics 9/2003.
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- Proteomics, 2003, v. 3, n. 9, p. 0, doi. 10.1002/pmic.200390098
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- Article
Meetings: Proteomics 9/2003.
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- Proteomics, 2003, v. 3, n. 9, p. 1830, doi. 10.1002/pmic.200390096
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- Article
Developmentally induced changes of the proteome in the protozoan parasite Leishmania donovani.
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- Proteomics, 2003, v. 3, n. 9, p. 1811, doi. 10.1002/pmic.200300462
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Mitochondrial proteome: Altered cytochrome c oxidase subunit levels in prostate cancer.
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- Proteomics, 2003, v. 3, n. 9, p. 1801, doi. 10.1002/pmic.200300461
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Protein profiles of medulloblastoma cell lines DAOY and D283: Identification of tumor-related proteins and principles.
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- Proteomics, 2003, v. 3, n. 9, p. 1781, doi. 10.1002/pmic.200300460
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Proteome of monocytes primed with lipopolysaccharide: Analysis of the abundant proteins.
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- Proteomics, 2003, v. 3, n. 9, p. 1767, doi. 10.1002/pmic.200300532
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Application of sensitive fluorescent dyes in linkage of laser microdissection and two-dimensional gel electrophoresis as a cancer proteomic study tool.
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- Proteomics, 2003, v. 3, n. 9, p. 1758, doi. 10.1002/pmic.200300531
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- Article
Profiling of cytokine expression by biotin-labeled-based protein arrays.
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- Proteomics, 2003, v. 3, n. 9, p. 1750, doi. 10.1002/pmic.200300530
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Proteomic analysis of acrylamide gel separated proteins immobilized on polyvinylidene difluoride membranes following proteolytic digestion in the presence of 80% acetonitrile.
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- Proteomics, 2003, v. 3, n. 9, p. 1738, doi. 10.1002/pmic.200300529
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A prototype methodology combining surface-enhanced laser desorption/ionization protein chip technology and artificial neural network algorithms to predict the chemoresponsiveness of breast cancer cell lines exposed to Paclitaxel and Doxorubicin under in vitro conditions
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- Proteomics, 2003, v. 3, n. 9, p. 1725, doi. 10.1002/pmic.200300526
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- Article
Identification and validation of a potential lung cancer serum biomarker detected by matrix-assisted laser desorption/ionization-time of flight spectra analysis.
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- Proteomics, 2003, v. 3, n. 9, p. 1720, doi. 10.1002/pmic.200300514
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Machine learning approaches to lung cancer prediction from mass spectra.
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- Proteomics, 2003, v. 3, n. 9, p. 1716, doi. 10.1002/pmic.200300523
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Generalizable mass spectrometry mining used to identify disease state biomarkers from blood serum.
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- Proteomics, 2003, v. 3, n. 9, p. 1710, doi. 10.1002/pmic.200300516
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Multiple approaches to data-mining of proteomic data based on statistical and pattern classification methods.
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- Proteomics, 2003, v. 3, n. 9, p. 1704, doi. 10.1002/pmic.200300512
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Discriminant models for high-throughput proteomics mass spectrometer data.
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- Proteomics, 2003, v. 3, n. 9, p. 1699, doi. 10.1002/pmic.200300518
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- Article
Protocols for disease classification from mass spectrometry data.
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- Proteomics, 2003, v. 3, n. 9, p. 1692, doi. 10.1002/pmic.200300519
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Clustering mass spectrometry data using order statistics.
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- Proteomics, 2003, v. 3, n. 9, p. 1687, doi. 10.1002/pmic.200300517
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Megavariate data analysis of mass spectrometric proteomics data using latent variable projection method.
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- Proteomics, 2003, v. 3, n. 9, p. 1680, doi. 10.1002/pmic.200300515
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Decision tree classification of proteins identified by mass spectrometry of blood serum samples from people with and without lung cancer.
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- Proteomics, 2003, v. 3, n. 9, p. 1678, doi. 10.1002/pmic.200300521
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Tree-based disease classification using protein data.
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- Proteomics, 2003, v. 3, n. 9, p. 1673, doi. 10.1002/pmic.200300520
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Analysis of human serum proteins by liquid phase isoelectric focusing and matrix-assisted laser desorption/ionization-mass spectrometry.
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- Proteomics, 2003, v. 3, n. 9, p. 1661, doi. 10.1002/pmic.200300513
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Content: Proteomics 9/2003.
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- Proteomics, 2003, v. 3, n. 9, p. 0, doi. 10.1002/pmic.200390097
- Publication type:
- Article
A comprehensive approach to the analysis of matrix-assisted laser desorption/ionization-time of flight proteomics spectra from serum samples.
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- Proteomics, 2003, v. 3, n. 9, p. 1667, doi. 10.1002/pmic.200300522
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