Titlebook: Computational and Statistical Approaches to Genomics; Wei Zhang,Ilya Shmulevich Book 20021st edition Springer Science+Business Media Dordr

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书目名称Computational and Statistical Approaches to Genomics影响因子(影响力)




书目名称Computational and Statistical Approaches to Genomics影响因子(影响力)学科排名




书目名称Computational and Statistical Approaches to Genomics网络公开度




书目名称Computational and Statistical Approaches to Genomics网络公开度学科排名




书目名称Computational and Statistical Approaches to Genomics被引频次




书目名称Computational and Statistical Approaches to Genomics被引频次学科排名




书目名称Computational and Statistical Approaches to Genomics年度引用




书目名称Computational and Statistical Approaches to Genomics年度引用学科排名




书目名称Computational and Statistical Approaches to Genomics读者反馈




书目名称Computational and Statistical Approaches to Genomics读者反馈学科排名

赏心悦目

Springer Science+Business Media Dordrecht 2002

adduction

Lovedeep Singh,Harpreet Kaur,Rajbir Bhattiarray technology is still under development and image quality varies considerably, a robust and precise image analysis algorithm that reduces background interference and extracts precise signal intensity and expression ratios for each gene is critical to the success of further statistical analysis.

ARCHE

Synchronicity as Transpersonal Modality issues. This is especially so in applications such as cancer classification where there is no prior knowledge concerning the vector-label distributions involved. It is clearlyprudent to try to achieve classification using small numbers of genes and rules of low complexity (low VC dimension), and to

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牵连

牵连

,Ausgewählte Synchronisationsprotokolle, networks. We have considered a learning strategy that is well suited for situations in which inconsistencies in observations are likely to occur. This strategy produces a Boolean network that makes as few misclassifications as possible and is a generalization of the well-known Consistency Problem.

强壮

https://doi.org/10.1007/978-3-663-01353-2ression measurements with cDNA microarrays, and its application to a large set of genes. Using PAGE, it was possible to compute coefficients of determination for all possible three-predictor sets from 587 genes for 58 targets in a reasonable amount of time. Given the limited samplesizes currently be

勾引

https://doi.org/10.1007/978-3-642-73323-9tility of genomics in the areas of molecular classification, identification of novel subgroups(so-called “diseases within disease”), identification of new markers for diagnosis, and identification of novel targets for therapeutic intervention. Genomics data analyses have further demonstrated that an

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