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

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書目名稱Computational and Statistical Approaches to Genomics影響因子(影響力)




書目名稱Computational and Statistical Approaches to Genomics影響因子(影響力)學(xué)科排名




書目名稱Computational and Statistical Approaches to Genomics網(wǎng)絡(luò)公開度




書目名稱Computational and Statistical Approaches to Genomics網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computational and Statistical Approaches to Genomics被引頻次




書目名稱Computational and Statistical Approaches to Genomics被引頻次學(xué)科排名




書目名稱Computational and Statistical Approaches to Genomics年度引用




書目名稱Computational and Statistical Approaches to Genomics年度引用學(xué)科排名




書目名稱Computational and Statistical Approaches to Genomics讀者反饋




書目名稱Computational and Statistical Approaches to Genomics讀者反饋學(xué)科排名

賞心悅目

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.

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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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牽連

牽連

,Ausgew?hlte 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.

強(qiáng)壯

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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