Knowledge Discovery in ProteomicsCRC Press, 02/09/2005 - 360 páginas Multi-modal representations, the lack of complete and consistent domain theories, rapid evolution of domain knowledge, high dimensionality, and large amounts of missing information - these are challenges inherent in modern proteomics. As our understanding of protein structure and function becomes ever more complicated, we have reached a point where |
Índice
| 1 | |
| 11 | |
Current Status and Future Perspectives of Mass Spectrometry | 39 |
Graph Theory Analysis of ProteinProtein Interactions | 73 |
HTP Protein Crystallization Approaches | 129 |
Integration of Diverse Data Algorithms and Domains | 199 |
From HighThroughput to Systems Biology | 237 |
References | 259 |
Index | 309 |
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Palavras e frases frequentes
accuracy Acids addition algorithm analysis applied approach attributes Bioinformatics biological cell cellular challenges classification clustering combined complex components computational connected contains context crystallization currently data base database datasets defined described detection determine developed discovery distribution domain drop edges effective evidence example experimental experiments expression false FIGURE finding function further gene genome given graph groups human identify important improve increase individual integration interactions knowledge levels mass measure methods mining multiple nodes ontology optimization organisms pairs pathways patterns peptide positive possible PPI networks precipitates predicted presented probability problem profiling properties protein protein interactions proteomics random graph reasoning relationships represent require retrieval rules sample Science screens selected sequence shows similar specific structure studies techniques tion types understanding University values variables yeast
Passagens conhecidas
Página 277 - Gygi, SP, Rist, B., Gerber, SA, Turecek, F., Gelb, MH, and Aebersold, R. (1999). Quantitative analysis of complex protein mixtures using isotope-coded affinity tags.
Página 228 - Learning denotes changes in the system that are adaptive in the sense that they enable the system to do the same task or tasks drawn from the same population more efficiently and more effectively the next time" (quotation from HA Simon in [7.2]).
Página 259 - Adams, MD, SE Celniker, RA Holt, CA Evans, JD Gocayne, PG Amanatides, SE Scherer, PW Li, RA Hoskins, RF Galle, RA George, SE Lewis, S. Richards, M. Ashburner, SN Henderson, GG Sutton, JR Wortman, MD Yandell, Q. Zhang, LX Chen, RC Brandon, YH Rogers, RG Blazej, M. Champe, BD Pfeiffer, K. H. Wan, C. Doyle, EG Baxter, G.
Página 281 - Toward a protein-protein interaction map of the budding yeast: A comprehensive system to examine two-hybrid interactions in all possible combinations between the yeast proteins.
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