Titlebook: Biocomputing; Panos M. Pardalos,Jose Principe Book 20021st edition Kluwer Academic Publishers 2002 algorithms.approximation algorithm.calc

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書目名稱Biocomputing影響因子(影響力)




書目名稱Biocomputing影響因子(影響力)學(xué)科排名




書目名稱Biocomputing網(wǎng)絡(luò)公開度




書目名稱Biocomputing網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Biocomputing被引頻次




書目名稱Biocomputing被引頻次學(xué)科排名




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書目名稱Biocomputing年度引用學(xué)科排名




書目名稱Biocomputing讀者反饋




書目名稱Biocomputing讀者反饋學(xué)科排名

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Computational and Interpretive Genomics,al chemists, and on the other by biologists and organic chemists. These two group are both interested in how computation can help us better understand biological systems. The motivation for joining the two cultures is heightened by the growth of genomic sequence databases, which add greatly to the a

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Optimized Needle Biopsy Strategies for Prostate Cancer Detection,however, the urologist cannot usually distinguish between cancerous and healthy tissue. Therefore, most biopsies follow standard procedures (known as “protocols”) based on long-term physician experience. Recent studies indicate that these protocols may have a significant rate of false negative diagn

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Self-Organizing Maps, decode neural spike trains of an awake animal and associate external auditory stimuli with spike patterns of the brain. This chapter begins with an introduction of the SOM and highlights advantages of the SOM when compared to other multivariate statistical data analysis tools commonly used to analy

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A Simple Approximation Algorithm for Nonoverlapping Local Alignments (Weighted Independent Sets of ven a set of . positively weighted axis parallel rectangles such that, for each axis, the projection of a rectangle on this axis does not enclose that of another, and our goal is to select a subset of . rectangles from the given set of rectangles of total maximum weight, where two rectangles are ind

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Functional Magnetic Resonance Imaging Data Analysis with Information-Theoretic Approaches,measures are employed to estimate the difference between two data distributions, obtained by segmenting the voxel time series based on the experimental protocol time-line. In order to validate the new technique activation signals were acquired from a specially constructed dynamic fMRI phantom placed

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Yeast Sage Expression Levels are Related to Calculated mRNA Folding Free Energies,ame mononucleotide base composition and length. Randomization only of the coding region of most genes also yields folding free energies of less negative magnitude than those of the original mRNA sequences. For 79 mRNA sequences selected from a yeast SAGE library, the free energy minimization calcula

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