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Titlebook: Bioinformatics Using Computational Intelligence Paradigms; Udo Seiffert,Lakhmi C. Jain,Patric Schweizer Book 2005 Springer-Verlag Berlin H

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樓主: 人工合成
21#
發(fā)表于 2025-3-25 06:02:03 | 只看該作者
Markus Oestreich,Oliver Rombergristics of the tissue at the molecular level. If we make microarrays for different tissues, biological and biomedical researchers are able to compare the difference of those tissues at the molecular level. Figure 1 is a description of the process of making microarrays.
22#
發(fā)表于 2025-3-25 09:06:39 | 只看該作者
23#
發(fā)表于 2025-3-25 15:32:56 | 只看該作者
24#
發(fā)表于 2025-3-25 15:51:18 | 只看該作者
A Dynamic Model of Gene Regulatory Networks Based on Inertia Principle,xpression of thousands of genes of a given organism or a given tissue can now be measured simultaneously on the same chip. This revolution opens a large avenue for research on reconstruction of gene regulatory networks from experimental data.
25#
發(fā)表于 2025-3-25 20:59:22 | 只看該作者
Class Prediction with Microarray Datasets,a method for determining how much data is required for a classification task given an initial sample set. We illustrate this process with both public domain datasets and a new dataset for predicting relapse versus non-relapse for a paediatric tumour.
26#
發(fā)表于 2025-3-26 01:12:31 | 只看該作者
27#
發(fā)表于 2025-3-26 04:48:55 | 只看該作者
28#
發(fā)表于 2025-3-26 10:25:10 | 只看該作者
29#
發(fā)表于 2025-3-26 15:27:13 | 只看該作者
Random Voronoi Ensembles for Gene Selection in DNA Microarray Data,nt response to treatments, can manifest themselves with undistinguishable appearances, not only at morphological inspection, but also from the immunophenotyping, biochemical, and cytogenetic profiles.
30#
發(fā)表于 2025-3-26 19:03:03 | 只看該作者
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