The phrase "a dataset of predicted" is correct and usable in written English.
It can be used when referring to a collection of data that has been generated or estimated based on certain models or algorithms.
Example: "The researchers compiled a dataset of predicted outcomes to analyze the effectiveness of the new treatment."
Alternatives: "a collection of predicted data" or "a compilation of forecasted results."
Having a dataset of the predicted IGC50 for both models and the measured value, we used a priori information ("oracle model") about the best selected model for each chemical compound and we applied various classification methods.
None of the compared profiles were correlated in the experimental dataset, but in the dataset of predicted phosphoproteins we found a moderate correlation of overrepresented plant GO Slim term profiles between pS-p[ST] and pY-pT, with correlation coefficients of 0.39 and 0.38, respectively.
Using the dataset of predicted high-confidence phosphorylation sites for a more global analysis, we found 1,114 proteins in which predicted phosphorylation sites could potentially be lost in at least one of the A. thaliana accessions studied (Additional file 12).
The dataset of predicted and measured values were close to the 1 1 scale line for both the profile water storage and soil water flux.
The machine can be further developed with datasets of predicted miRNA targets [65] [70], as well as candidate MIRNA genes and targets from purely computational methods.
The computational gene prediction methods produce protein sequence sets that represent the theoretical proteome of Toxoplasma gondii; however, the datasets of predicted protein sequences are quite different and are likely to introduce substantial inaccuracy [10] [12].
For this purpose, we compiled and studied comprehensive datasets of predicted ESRs, identified by several computational and experimental approaches, as well as microarray data for changes in alternative splicing levels between human and chimpanzee.
Datasets of predicted proteins produced by the sequencing consortia often miss homologs, and predicted proteins contain mispredicted exons and introns in many cases, necessitating manual assembly and annotation.
When comparing two datasets of predicted transfers that differ in their expected false-positive rate, we find that the more stringent dataset shows a stronger enrichment of clustered pairs.
We mined the entire datasets of predicted proteins from eight animal species (see Figure 1) as well as two unicellular species of yeast for SLC17 proteins using a sequence Hidden Markov Model (HMM) trained on the alignment containing the nine human SLC17 protein sequences.
