Titlebook: Computational Intelligence Methods for Bioinformatics and Biostatistics; 7th International Me Riccardo Rizzo,Paulo J. G. Lisboa Conference

Reagan

書目名稱Computational Intelligence Methods for Bioinformatics and Biostatistics影響因子(影響力)




書目名稱Computational Intelligence Methods for Bioinformatics and Biostatistics影響因子(影響力)學科排名




書目名稱Computational Intelligence Methods for Bioinformatics and Biostatistics網(wǎng)絡公開度




書目名稱Computational Intelligence Methods for Bioinformatics and Biostatistics網(wǎng)絡公開度學科排名




書目名稱Computational Intelligence Methods for Bioinformatics and Biostatistics被引頻次




書目名稱Computational Intelligence Methods for Bioinformatics and Biostatistics被引頻次學科排名




書目名稱Computational Intelligence Methods for Bioinformatics and Biostatistics年度引用




書目名稱Computational Intelligence Methods for Bioinformatics and Biostatistics年度引用學科排名




書目名稱Computational Intelligence Methods for Bioinformatics and Biostatistics讀者反饋




書目名稱Computational Intelligence Methods for Bioinformatics and Biostatistics讀者反饋學科排名

取之不竭

De Novo Protein Subcellular Localization Prediction by N-to-1 Neural Networksather by adaptively compressing the sequence into a hidden feature vector. We benchmark SCL_pred against other publicly available predictors using two benchmarks including a new subset of Swiss-Prot release 57. We show that SCL_pred compares favourably to the other state-of-the-art predictors. Moreo

追逐

Osmoprotectants in the Sugarcane (, spp.) Transcriptome Revealed by in Silico Evaluationlysis between the ORFs of sugarcane and other organisms, the genic structure of these plants was relatively conserved suggesting that the accumulation of compatible solutes is an ancient metabolic adaptation.

Eclampsia

嚴厲譴責

Biclustering by Resamplingits to find find several biclusters by using the statistical method of Bootstrap aggregation. We applied the algorithm to a synthetic data and to the Yeast dataset, obtaining fast convergence and good quality solutions. A comparison with original PBC method is also presented.

Affable

Affable

GORGE

scrutiny

Dynamic Simulations of Pathways Downstream of ERBB-Family: Exploration of Parameter Space and Effectd an important sensitivity, the number of sensitive cases increased moderately for increasing numbers of perturbations. In most cases the effect of introducing virtual mutations and virtual onco-protein inhibitors was more important than the effect of randomly introduced perturbations, this suggests

招致

0302-9743 n structures; gene expression data analysis; bio-medical text mining and imaging -- methods for diagnosis and prognosis; mathematical modelling and simulation of biological systems; and intelligent clinical decision support systems (i-CDSS).978-3-642-21945-0978-3-642-21946-7Series ISSN 0302-9743 Series E-ISSN 1611-3349