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Phylogenetic methods of orthology prediction analyze gene trees (or, more precisely, multi-gene trees containing groups of paralogs and orthologs) to localize duplication events on the tree and separate orthologs from paralogs; phylogenetic methods also enable biologists to perform more fine-tuned analyses, e.g. to discriminate between orthologs and super-orthologs [ 30].
This suggests that the different predictions analyzed are complementary despite the unclear definition of transcriptional cooperativity.
JDO performed all computational predictions, analyzed the results, performed the experimental analysis, and wrote the manuscript.
The 3,478 QRNA predictions analyzed by microarray were mapped to the mouse-human UCSC genomic alignments (mm6-hg17) and were subset to the same regions analyzed by Cheng et al. [ 9] (i.e. not repetitive regions, for example), which were determined from the probe positions used in the tiling analysis (coordinates were converted to the hg17 genome release using the UCSC LiftOver tool [ 17]).
The activities required students to perform one or more of the following tasks: making predictions, analyzing data, interpreting graphs, drawing models, explaining experimental results, and using evidence to support explanations of phenomena.
For example, for community dynamics, the in-class activity required students to make predictions, analyze data, and explain results based on Paine's (1966) classic Pisaster exclusion experiments from a rocky intertidal zone.
In our previous study [2], the effect of transfer in personality affect prediction was analyzed in ELEA and VLOG datasets.
The model results for the flow inversion phenomenon prediction are analyzed and a solution of the problem is suggested.
In the paper the problems of the pulse system dynamics identification and its evolution prediction are analyzed.
The amount of inter-view prediction was analyzed using different settings for delta quantisation (∆QP) among frames with mixed spatial-resolution, which was set in the range of (0, 10).
Thus non-redundant, prognostic variables identified by MART® to confer prediction were analyzed by CART to further define prognostic thresholds.
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