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1. Detection of a sub-grouping of AML samples that clearly separates "Failure"


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2. Separation of AML, MLL and ALL leukemia samples into three distinct clusters and supporting genes


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3. Procedure for building a dendrogram


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4. Discrimination of T-cell


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5. Separation of and breast cancer samples


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6. Flowchart of the proposed method


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7. Individualized markers optimize class prediction of microarray data-1


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8. Summary

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9. ChromatoGate: A Tool for Detecting Base Mis-Calls in Multiple Sequence Alignments by Semi-Automatic Chromatogram Inspection


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10. Evaluation of young smokers and non-smokers with Electrogustometry and Contact Endoscopy


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