In this work, we evaluate two classes of metrics: network metrics and diffusion metrics.
We then evaluate two classes of IR features.
This randomized trial evaluated four classes of pharmacologic therapies (including doxazosin) for hypertension in patients 55 years of age or older.
Thus, to perform this study we evaluated three class discriminability measures as a function of the spatial frequency content of face images to find out if there is a maximum in the same representation found with the psychophysical studies.
CC-NB-LRR-type genes of the 184 kb Rps1-k region were evaluated and two classes of highly similar genes were shown to confer race-specific Phytophthora resistance [ 1].
The evolutionary model we evaluated assumed two classes of branches with different ω values: Duplication branches (resulting from a duplication event labeled on the OG's phylogenetic tree) and speciation branches (the remaining branches, i.e., those resulting from speciation events).
In FlyBase [ 6] a single digit scoring metric is assigned based on evaluating three different classes of evidence: ab initio gene prediction algorithms, aligned nucleotide sequences and overlapping regions of protein similarity.
We sought to develop a comprehensive scoring system for evaluation of pre-clinical models of osteoarthritis (OA) progression, and use this to evaluate two different classes of drugs for management of OA.
In these proof-of-concept studies we evaluated two new classes of clinically approved drugs with different modes of action namely, an integrase inhibitor raltegravir and a CCR5 inhibitor maraviroc as potential systemically administered chemo-prophylactics.
In this study, we prepared and biologically evaluated two novel classes of estradiol-linked platinum II) complex analogs to carboplatin (E-CarboP, 1a 3a) and oxaliplatin (E-OxaP, 1b 3b).
We evaluated four broad classes of pesticides: insecticides, herbicides, and agricultural and nonagricultural fungicides.
