Sentence examples for expression paths from inspiring English sources

As demonstrated in simulation and case studies, the output proves useful in identifying differentially expressed genes and in specifying gene-specific expression paths.

EBSeq-HMM also provides improved accuracy in classifying genes into expression paths.

In addition to DE gene identification, EBSeq-HMM performed well for classifying genes into expression paths.

Figure 4 shows expression levels of the 33 genes along with their most likely expression paths.

EBSeq-HMM may be used to identify genes that are DE across a set of ordered conditions and to classify genes into their most likely expression paths.

EBSeq-HMM allows users to identify genes with non-constant expression over multiple ordered conditions, and simultaneously classify them into expression paths.

Consequently, these methods are not evaluated for expression path classification.

Recall that EBSeq-HMM provides gene-specific posterior probabilities associated with each expression path.

The ground truth shows the number of genes simulated in each expression path.

For EBSeq-HMM, a DE gene is classified into a specific expression path if its PP of being in that path exceeds 0.5.

Two tasks are of interest: identifying DE genes, defined as those showing any change across conditions; and assigning DE genes into their most likely expression path.