Works matching IS 16159853 AND DT 2013 AND VI 13 AND IP 2
Results: 24
Challenges in Modern Biomarker Discovery - 17<sup>th</sup> HUPO BPP Workshop.
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- Proteomics, 2013, v. 13, n. 2, p. 210, doi. 10.1002/pmic.201370025
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Proteomic profiling of expression of proteasomal subunits from livers of mice treated with diethylnitrosamine.
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- Proteomics, 2013, v. 13, n. 2, p. 389, doi. 10.1002/pmic.201200288
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An artificial neural network approach to improving the correlation between protein energetics and the backbone structure.
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- Proteomics, 2013, v. 13, n. 2, p. 230, doi. 10.1002/pmic.201200330
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Contents: Proteomics 2'13.
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- Proteomics, 2013, v. 13, n. 2, p. NA, doi. 10.1002/pmic.201370023
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Comparative proteomic analysis of the ATP-sensitive K<sup>+</sup> channel complex in different tissue types.
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- Proteomics, 2013, v. 13, n. 2, p. 368, doi. 10.1002/pmic.201200324
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Proteomics Clinical Applications Table of Contents.
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- Proteomics, 2013, v. 13, n. 2, p. 209, doi. 10.1002/pmic.201370027
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- Article
Differential secretome analysis of cancer-associated fibroblasts and bone marrow-derived precursors to identify microenvironmental regulators of colon cancer progression.
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- Proteomics, 2013, v. 13, n. 2, p. 379, doi. 10.1002/pmic.201200179
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- Article
Progresses in Neuroproteomics of Neurodegenerative Diseases - 18<sup>th</sup> HUPO BPP Workshop.
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- Proteomics, 2013, v. 13, n. 2, p. 217, doi. 10.1002/pmic.201370024
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Capillary electrophoresis and isoelectric focusing in peptide and protein analysis Capillary electrophoresis and isoelectric focusing in peptide and protein analysis.
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- Proteomics, 2013, v. 13, n. 2, p. 325, doi. 10.1002/pmic.201200378
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Predicting adverse drug reaction profiles by integrating protein interaction networks with drug structures.
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- Proteomics, 2013, v. 13, n. 2, p. 313, doi. 10.1002/pmic.201200337
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Heterogeneous data integration by tree-augmented naïve Bayes for protein-protein interactions prediction.
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- Proteomics, 2013, v. 13, n. 2, p. 261, doi. 10.1002/pmic.201200326
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10 Standard abbreviations.
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- Proteomics, 2013, v. 13, n. 2, p. 398, doi. 10.1002/pmic.201370026
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Proteomic analysis of novel targets associated with TrkA-mediated tyrosine phosphorylation signaling pathways in SK- N- MC neuroblastoma cells.
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- Proteomics, 2013, v. 13, n. 2, p. 355, doi. 10.1002/pmic.201200251
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Unifying protein inference and peptide identification with feedback to update consistency between peptides.
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- Proteomics, 2013, v. 13, n. 2, p. 239, doi. 10.1002/pmic.201200338
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Fast algorithm for population-based protein structural model analysis.
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- Proteomics, 2013, v. 13, n. 2, p. 221, doi. 10.1002/pmic.201200334
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Focus on Bioinformatics in Proteomics.
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- Proteomics, 2013, v. 13, n. 2, p. 219, doi. 10.1002/pmic.201370022
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Editorial Board: Proteomics 2'13.
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- Proteomics, 2013, v. 13, n. 2, p. NA, doi. 10.1002/pmic.201370021
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- Article
Glycobioinformatics: Current strategies and tools for data mining in MS-based glycoproteomics.
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- Proteomics, 2013, v. 13, n. 2, p. 341, doi. 10.1002/pmic.201200149
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hF-measure: A new measurement for evaluating clusters in protein-protein interaction networks.
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- Proteomics, 2013, v. 13, n. 2, p. 291, doi. 10.1002/pmic.201200436
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Clustering and overlapping modules detection in PPI network based on IBFO.
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- Proteomics, 2013, v. 13, n. 2, p. 278, doi. 10.1002/pmic.201200309
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Identifying protein complexes in protein-protein interaction networks by using clique seeds and graph entropy.
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- Proteomics, 2013, v. 13, n. 2, p. 269, doi. 10.1002/pmic.201200336
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Cover Picture: Proteomics 2'13.
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- Proteomics, 2013, v. 13, n. 2, p. NA, doi. 10.1002/pmic.201370020
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Prioritization of putative metabolite identifications in LC- MS/ MS experiments using a computational pipeline.
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- Proteomics, 2013, v. 13, n. 2, p. 248, doi. 10.1002/pmic.201200306
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Construction and application of dynamic protein interaction network based on time course gene expression data.
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- Proteomics, 2013, v. 13, n. 2, p. 301, doi. 10.1002/pmic.201200277
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