This result was predictable due to the great quantity of genes related to protein biosynthesis that were down regulated in the global analysis of gene expression [ 6].
This result was predictable due to the great quantity of genes related to protein biosynthesis that were down regulated in the microarray.
The much faster formation of large families from an ensemble of singletons was predictable due to the large variation coefficient of the family formation and extinction times, but the simulation was necessary in the absence of knowledge of the exact distribution of these values.
A potential improvement of the BER performance is predictable due to the implementation of an ideal interleaver and iterations regardless of the high complexity.
Some results obtained from the meta-analysis may have been predictable, due to inherent differences between the 2 designs.
- Subset B: Known Volvox genes that have previously been identified via characterized homologs in Volvox and in which a cell-type specific expression is predictable due to the characteristics of the homologous gene (1 gene: rlsA).
Subset E covered 7 novel Volvox genes, dyhA, klpA, fer1, nab1, rap41, fbp1, and cp12, which were identified via their characterized homologs from other species and in which, therefore, a cell-type specific expression seemed to be predictable due to the characteristics of the homologs.
- Subset E: New Volvox genes that were identified in this project via characterized homologs in other species and in which a cell-type specific expression is predictable due to the characteristics of the homologs (7 genes: dyhA, klpA, fer1, nab1, rap41, fbp1, cp12).
QTLs for ABA content in embryo and endosperm were rarely colocated, which was somewhat predictable due to the poor correlation between ABA contents in the two tissues.
We show how this expression gives rise to the notion of fluctuation domains parts of the fitness landscape where the rate of evolution is very predictable (due to fluctuation dissipation) and parts where it is highly variable (due to fluctuation enhancement).
Resampling methods with circular statistics was chosen for these analyses because the expected distributions of birth dates and capture dates for non-reproductive females were not predictable due to uneven sampling among months [see [ 10, 12]].
