Exact(1)
Our study is the first to exhaustively sample and classify transcriptionally active TEs in Eucalyptus species, identifying their structure, genomic distribution, insertion time estimation, genomic polymorphism and transcriptional activity in five Eucalyptus species and one intrageneric hybrid.
Similar(59)
About 100 random RBCs were counted per sample and classified as either echinocytes (based on distinct thorny projections) or healthy RBCs.
Microscopical evaluation was performed independently by two different persons counting 100 cells per sample and classifying them as positive or negative.
The advent of DNA microarray and RNA_seq [ 1] makes it possible to analyze tumor samples and classify them based on gene expression profiles.
The classifier is trained using 90% samples and classified over all the signals.
The plant species composition of remnant patches was sampled and classified using TWINSPAN, and sward structure described in terms of basal cover, sward height, sward density, and aerial cover.
The team analyzed ribosomal RNA from the samples and classified the microbes based on their genomes.
The third and fourth items represent the regression model, the goal being to learn the projection for fitting the labels of the data samples and classifying new data points.
Studies of NHS Direct data 14 15 have examined age-specific samples and classified symptoms and outcomes in a different way to this study, making direct comparison difficult.
For the correlation analysis we arranged the samples in 3 gestational periods: 10-11wga (three samples); 13-15 wga (five samples) and 21-22 wga (two samples) and classified the microRNAs in three groups according to their expression profile (Material and Methods).
We have also analysed the expression pattern of these molecules by IHC analysis in human breast tumour and normal samples and classified based on the E-cadherin expression status [ 48- 50].
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