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Titlebook: Computational Life Sciences; First International Michael R. Berthold,Robert C. Glen,Ingrid Fischer Conference proceedings 2005 Springer-Ve

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41#
發(fā)表于 2025-3-28 18:40:17 | 只看該作者
,Transaction Banking — Wertpapierabwicklung,ological databases distributed worldwide. Most research projects in bioinformatics start with data retrieval from selected sources. However, identifying appropriate data sources is not trivial and requires the representation of the knowledge about data sources. We present here the BioRegistry projec
42#
發(fā)表于 2025-3-28 20:40:08 | 只看該作者
43#
發(fā)表于 2025-3-29 01:25:04 | 只看該作者
44#
發(fā)表于 2025-3-29 04:05:32 | 只看該作者
https://doi.org/10.1007/978-3-662-55471-5e results. We develop a software . that helps to decide whether a protein sequence is related to a protein with known structure. Our approach may indicate rearrangements and duplications, and it displays information from different sources in an integrated fashion..Our approach is to first break each
45#
發(fā)表于 2025-3-29 09:06:28 | 只看該作者
46#
發(fā)表于 2025-3-29 13:00:44 | 只看該作者
47#
發(fā)表于 2025-3-29 15:53:56 | 只看該作者
Strukturwandel der Verteidigung (sensitivity) is defined to quantify the saliencies of individual features (genes) by analyzing the discriminative function in SVMs. Our feature selection strategy is first to select the features with higher sensitivities but meanwhile keep the remaining ones, and then refine the selected subset by
48#
發(fā)表于 2025-3-29 21:45:44 | 只看該作者
Verteidigungs?konomie vor dem Scheidewegeies the computational nature of the gene assembly process. Motivated by the breakpoint graph known from another branch of DNA transformation research, we introduce the reduction graph as a tool for the study of this process, and illustrate its usefulness by proving a number of properties of gene ass
49#
發(fā)表于 2025-3-30 03:33:35 | 只看該作者
50#
發(fā)表于 2025-3-30 08:05:54 | 只看該作者
https://doi.org/10.1007/978-3-658-13728-1mostly limited to relative quantification and the large amount of data produced by every individual experiment can make manual analysis quite difficult. Here we present a new, combined experimental and algorithmic approach to absolutely quantify proteins from samples with unprecedented precision. We
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