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Secondly, by analyzing the multiple correlations of two-dimensional fluorescence spectra with the excitation wavelength of 220 nm, it is found that the multiple correlation of original spectra is stronger than that under wavelet decomposition.
Single Nucleotide Polymorphisms (SNPs) were identified by analyzing the multiple alignments produced during the assembly process using both a "loose" criterion to maximize the discovery of rare alleles, and a "strict" criterion to minimize the possibility of false positives due to sequencing error (see Methods).
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Finally, we generated the gene family tree by analyzing the multiple-sequence alignment results based on Muscle using the Bayes method with the MrBayes software (MrBayes v3.1.2).
By analyzing the PROMALS3D multiple sequence alignment of the unorthodox AQPs, including 2 human members (AQP11 and AQP12), we found a common conserved α-helical structure directly upstream of the first transmembrane domain in MtAqp-11 and other unorthodox members (see File S5).
By analyzing the full suite of multiple simulations of 23 AOGCMs under multiple emissions scenarios, we are able to present quantitative estimates of the level of agreement in the projected contractions in the MCE.
The optimization of the single-stage tribo-electrostatic separation of navy bean flour was successfully carried out by designing a mixed level full factorial (41 × 23) experiment, followed by analyzing the data with a multiple linear regression model.
Haplotype analysis assessed disease susceptibility more powerfully by analyzing the combined action of multiple loci.
Emili has taken a global approach by analyzing the entire proteome following multiple orthogonal separation methods and identifying complexes by common separation patterns.
Gene set analysis (GSA) augmented by protein-protein interaction network data provides a promising way to examine GWAS data by analyzing the combined effects of multiple genes/markers, each of which may have only individually weak to moderate association effects.
In our method, the regression analysis is used to model the complex detection problem, as it can train a model of the multiple features by analyzing the training set.
We first investigated the gene-expression evolution patterns of the P450 duplicate pairs in the two largest T. thermophila P450 gene families, CYP5005 and CYP5010, by analyzing the gene-expression data from multiple microarray experiments.
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