One of the reasons for the higher correlation is that NN prediction explores the sequence-profile information, whereas the Hopp-Woods and Kyte-Doolittle parameters are sequence-independent.
Thus, efforts focused on more precise estimations of these parameters will improve the accuracy of predictions from models exploring the causes of the HIV epidemic in sub-Saharan Africa.
The investigations which underpinned the development of the proposed prediction architecture include: exploring the effect of inter-view prediction direction upon the efficiency of multi-view video coding; comparing different methods for the decimation and interpolation of reference frames; and conducting statistical analyses of block matching.
To further validate the correctness of the 1-to-1 orthology predictions, we explored the annotation of genes in cliques of size 10 [see Additional file 1: Table S2 ] using information from the following public databases: Ensembl Plants release 22/Gramene release 41[ 23], Phytozome 9.1 [ 29], NCBI, MIPS Barley Genome DB (IBSC) [ 30], RAP-DB [ 31] and AraMemnon [ 32].
The signaling response prediction challenge explored the extent to which the responses to perturbations of a signaling pathway can be predicted from a set of training data consisting of perturbations (environmental cues and signaling protein inhibitors) and their responses.
Informative experimental conditions were found by exploring the model predictions within the parameter confidence intervals, i.e. by simulating the model for all parameter vectors obtained within the profile likelihood calculation [ 31].
Empirical evidence is presented exploring the effect prediction market participation has on learners in the cognitive domain.
Because past operationalizations of the engineering explanations have led to ambiguous predictions and results, their usefulness in exploring the contribution of research to action seems limited.
In addition to exploring the role of social-cognitive variables in the prediction of intention and behavior, we explored the relationships between intention and behavior.
Hence, to more rigorously assess the relative performance of different prediction methods, we explore the use of similarity-reduced datasets.
