We propose a strategy that integrates the main current computational techniques used to predict functional associations into a unified classifier system, specifically focusing on the evaluation of poorly characterized protein pairs.
Following a recent review suggesting that cost-effectiveness evaluations of adherence interventions for chronic diseases are rare, and that the methodology of such evaluations is poorly described in the literature, this manuscript presents the study protocol for a multi-centre trial evaluating the effectiveness and cost-effectiveness of AIMS among a heterogeneous sample of patients.
(Pao lost the case, but the evaluations reflected poorly on Kleiner Perkins).
We found that the functional and structural evaluations were poorly correlated in the area under study (Pearson's r = −0.35, p < 0.001).
Recently, some papers [12, 13] have tried to give scientific value to the aromatherapy, traditionally based on empirical observations and evaluations also poorly stringent, by establishing criteria similar to those that support the rigorous scientific research [14].
They typically involve many interconnected parts and players within a larger system and have potential consequences well beyond the intended health outcomes: the science of designing such evaluations is poorly understood and rarely practiced [ 19].
Finally, the evaluation process is poorly described, i.e. the measurement of what would be an expected result is absent (Winters et al. 2007).
Clinical evaluation, however, correlates poorly with invasive hemodynamics [9] and the physical exam lacks sensitivity and specificity for the diagnosis of heart failure, limiting its clinical utility [10].
Evaluation arrangements were poorly described.
Fold-recognition alignments to the structures of selected templates were used as a starting point for homology modeling using the "FRankenstein's Monster" approach [ 34], comprising cycles of model building, evaluation, realignment in poorly scored regions and merging of best scoring fragments.
