From this analysis, we identified 2 H.
Based on such cluster analysis, we identified six categories of aerosol number size distributions.
Through RNAseq analysis we identified Ca2+ signalling genes differentially expressed between proliferating and quiescent GSLCs.
From this analysis, we identified TBC1d24 as a candidate ephrinB2-interacting protein.
From the microarray data analysis, we identified lncRNA Ptn-dt as a possible oncofetal gene.
Based on our statistical analysis, we identified key sequences that contributed the most to increasing state capacity.
Through targeted metabolomics analysis we identified the tyrosine derivative 4-hydroxyphenyllactic acid (HPLA) as an endogenous ligand.
For our analysis, we identified words that shared the same root using a stemmer implementation from NaturalNode.
Using pathway analysis, we identified specific signalling pathways to be more significantly associated with the different phenotypes.
Using homology to Arabidopsis genes and Pfam domain analysis we identified candidate homologues for lignin, cellulose and xylan biosynthetic genes.
Findings: In philosophical analysis, we identified privacy, confidentiality, trust, dependence, and ancillary care obligations as potential considerations for EAM use.
