We extended the information theory-based method we used to study prokaryotic translational and transcriptional initiation to model Cbf1 and Met31 interactions, allowing for the greater flexibility present in this system.
Because of the geography-based method we used to group the hospitals, the Southeast region was composed of one hospital.
This study illustrates how original approaches such as the phylogeny-based method we used can empower classical molecular epidemiological studies aimed at identifying association or risk modification effects.
For experiments 1 and 2 data sets, the default marker imputation method (1000 flanking markers) is denoted by the subscript IM (GBLUPIM, RKHSIM); for the haplotype-based method, we used H as the subscript (GBLUPH, RKHSH).
To validate the effectiveness of the constructed WTSN and the PageRank-based method, we used four different types of PINs: original human PIN, TSN for each special disease, WPIN by using DNA methylation, and WTSN.
This could either be the result of the Lasso based method we have used or the specific dataset we used for the comparison.
While these results do cast doubt on the ability to classify positive and negative reviews from single sentences using dictionary based methods, we note that we need not expect the sentiment of individual sentences to be strongly correlated with the overall review polarity.
In the GMM/HMM based VAD method, we use the same method which is usually employed in ASR system by phoneme recognition.
After confirmation of the sensitivity and stability of the SERS signal from cells based on our developed method, we used this technique as a cancer diagnostic tool.
Based on the RETROICOR method, we used the PhLEM package (Verstynen & Deshpande, 2011) running in MATLAB to construct three regressors that modeled respiration and cardiac pulsations during passive visual fixation.
The ChIP-Enrich application assigns peaks to genes based on a chosen method (we used nearest TSS) and tests peaks from ChIP-seq experiments for enrichment of biological pathways, GO terms, and other types of gene sets using an empirical method to adjust for the relationship between probability of a peak and the genomic length associated with a gene.
