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  2. Weighted correlation network analysis - Wikipedia

    en.wikipedia.org/wiki/Weighted_correlation...

    WGCNA can be used as a data reduction technique (related to oblique factor analysis), as a clustering method (fuzzy clustering), as a feature selection method (e.g. as gene screening method), as a framework for integrating complementary (genomic) data (based on weighted correlations between quantitative variables), and as a data exploratory ...

  3. SQ3R - Wikipedia

    en.wikipedia.org/wiki/SQ3R

    Survey ("S") The first step, survey, skim, or scan advises that one should resist the temptation to read the book and instead first go through a chapter and note the headings, sub-headings, and other outstanding features, such as figures, tables, marginal information, and summary paragraphs.

  4. Biweight midcorrelation - Wikipedia

    en.wikipedia.org/wiki/Biweight_midcorrelation

    Biweight midcorrelation has been implemented in the R statistical programming language as the function bicor as part of the WGCNA package [3] Also implemented in the Raku programming language as the function bi_cor_coef as part of the Statistics module.

  5. Scale-free network - Wikipedia

    en.wikipedia.org/wiki/Scale-free_network

    [1] [2] The name "scale-free" could be explained by the fact that some moments of the degree distribution are not defined, so that the network does not have a characteristic scale or "size". Preferential attachment and the fitness model have been proposed as mechanisms to explain conjectured power law degree distributions in real networks.

  6. Reading comprehension - Wikipedia

    en.wikipedia.org/wiki/Reading_comprehension

    Reading comprehension and vocabulary are inextricably linked together. The ability to decode or identify and pronounce words is self-evidently important, but knowing what the words mean has a major and direct effect on knowing what any specific passage means while skimming a reading material.

  7. Extensive reading - Wikipedia

    en.wikipedia.org/wiki/Extensive_reading

    Extensive reading (ER) is the process of reading longer, easier texts for an extended period of time without a breakdown of comprehension, feeling overwhelmed, or the need to take breaks. [ 1 ] [ 2 ] It stands in contrast to intensive or academic reading, which is focused on a close reading of dense, shorter texts, typically not read for pleasure.

  8. Answers.com - Wikipedia

    en.wikipedia.org/wiki/Answers.com

    Answers.com, formerly known as WikiAnswers, is an Internet-based knowledge exchange. The Answers.com domain name was purchased by entrepreneurs Bill Gross and Henrik Jones at idealab in 1996. [1] [2] The domain name was acquired by NetShepard and

  9. TPR Storytelling - Wikipedia

    en.wikipedia.org/wiki/TPR_Storytelling

    A number of reading activities are used in TPRS. The first, and most common, is a class reading, where the students read and discuss a story that uses the same language structures as the story in step two. The next most common activity is free voluntary reading, where students are free to read any book they choose in the language being learned ...