Analysis of large-scale gene expression data
Copyright policy )Analysis of large-scale gene expression data
The advent of cDNA and oligonucleotide microarray technologies has led to a paradigm shift in biological investigation, such that the bottleneck in research is shifting from data generation to data analysis. Hierarchical clustering, divisive clustering, self-organizing maps and k-means clustering have all been recently used to make sense of this mass of data.
- Stanford Medicine United States
- Stanford University United States
Gene Expression Regulation, Neoplastic, Principal Component Analysis, Electronic Data Processing, Data Interpretation, Statistical, Gene Expression Profiling, Cell Cycle, Animals, Cluster Analysis, Humans, Artifacts, Algorithms, Forecasting, Oligonucleotide Array Sequence Analysis
Gene Expression Regulation, Neoplastic, Principal Component Analysis, Electronic Data Processing, Data Interpretation, Statistical, Gene Expression Profiling, Cell Cycle, Animals, Cluster Analysis, Humans, Artifacts, Algorithms, Forecasting, Oligonucleotide Array Sequence Analysis
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