The phrase "a predicted set of" is correct and usable in written English.
It can be used when referring to a collection of items or outcomes that are expected or forecasted based on certain criteria or analysis.
Example: "The researchers presented a predicted set of results based on their initial findings."
Alternatives: "an anticipated collection of" or "a forecasted group of".
A number of predictions is evaluated by considering for each gene a predicted set of regulators correct if all TFs in the set had evidence of binding within 2000 base pairs of the corresponding gene in the ChIP-chip data in [ 12].
A predicted set of coefficients ({B}^{pf}_{n m}) is then given by left[ dots {B}^{pf}_{n m} dots right]^{T}= mathbf{H} mathbf{B}_{knm}.
This resulted in a predicted set of 344 SP-containing soluble proteins (set 1) and a predicted set of 167 SP-containing transmembrane proteins (set 2) (Additional file 1: sheet S2).
We then generated three simple function annotation models: Naive, BLAST and GOtcha, to assess the ability of performance metrics to accurately reflect the quality of a predicted set of annotations.
This data will ultimately be used to develop new annotation methods that not only use direct information such as sequence similarity to previously annotated miRNAs, but also indirect information such as a predicted set of target genes.
The first reported GPA biosynthetic gene clusters revealed a predicted set of nonribosomal peptide synthetase units required for assembling the peptide scaffold along with genes encoding amino acid and sugar biosynthesis, self-resistance, export, and tailoring enzymes.
Utilizing orthologous protein information from the InParanoid database [ 25], we sampled all protein interactions in each organisms that have a fully conserved counterpart – an interolog [ 26] – in the predicted set of interactions of P. falciparum.
In a follow-up study they explored the above relations as a mechanism for predicting sets of side-effects for new drug candidates [5].
Recently, a Hydra genome (H. magnipapillata) was sequenced and a predicted protein set of 17,586 models was presented (Craig Venter Institute, ~6X sequence coverage, 1.3 Gb genome).
In each model, a unidimensional latent variable (i.e., reading ability) predicted a set of manifest variables (i.e., reading items).
Using our algorithm, we predicted a set of high-confidence ORF targets and selected seven miRNA-target pairs from among these for experimental validation.
