Search results
Results from the WOW.Com Content Network
The Alternative Splicing and Transcript Diversity database (ASTD) was a database of transcript variants maintained by the European Bioinformatics Institute from 2008 to 2012. [2] It contained transcription initiation , polyadenylation and splicing variant data.
Deadweight: Each player has three 300-pound coffins, each with a chain attached. They must pull each coffin across the Arena until they can secure the chains on a post at the opposite side. For the two of the coffins, they must also solve a problem inside before they can begin pulling. The first player to secure all three chains to their post wins.
ATutor is used in various contexts, including online course management, continuing professional development for teachers, career development, and academic research. [2] The software is cited as unique for its accessibility features, (useful to visually impaired and disabled learners); and for its suitability for educational use according to software evaluation criteria established by The ...
Models are penalized both by the value of ¯, which favors a good fit, but also (similar to AIC) by the effective number of parameters . Since D ¯ {\displaystyle {\bar {D}}} will decrease as the number of parameters in a model increases, the p D {\displaystyle p_{D}} term compensates for this effect by favoring models with a smaller number of ...
Style compliance: it follows the entire Manual of Style and has—(a) a concise, summarizing lead; (b) a substantial but not overwhelming table of contents; and (c) consistently formatted inline citations. Media. It has images in accordance with image use policies; in particular, they have acceptable copyright status and fair use rationales ...
In decision theory, the weighted sum model (WSM), [1] [2] also called weighted linear combination (WLC) [3] or simple additive weighting (SAW), [4] is the best known and simplest multi-criteria decision analysis (MCDA) / multi-criteria decision making method for evaluating a number of alternatives in terms of a number of decision criteria.
Matching is a statistical technique that evaluates the effect of a treatment by comparing the treated and the non-treated units in an observational study or quasi-experiment (i.e. when the treatment is not randomly assigned).
Values that are not significantly different based on the post-hoc Scheffé contrast will have the same subscript and values that are significantly different will have different subscripts (i.e. 15 a, 17 a, 34 b would mean that the first and second variables both differ from the third variable but not each other because they are both assigned ...