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  2. File:Library of Congress Classification and Shelflisting ...

    en.wikipedia.org/wiki/File:Library_of_Congress...

    Original file (1,275 × 1,650 pixels, file size: 13.58 MB, MIME type: application/pdf, 386 pages) This is a file from the Wikimedia Commons . Information from its description page there is shown below.

  3. File:Library of Congress Classification.pdf - Wikipedia

    en.wikipedia.org/wiki/File:Library_of_Congress...

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  4. File:Library of Congress Classification Outline.pdf - Wikipedia

    en.wikipedia.org/wiki/File:Library_of_Congress...

    Original file (1,275 × 1,650 pixels, file size: 3.61 MB, MIME type: application/pdf, 320 pages) This is a file from the Wikimedia Commons . Information from its description page there is shown below.

  5. File:Classification guide for Project BULLRUN.pdf - Wikipedia

    en.wikipedia.org/wiki/File:Classification_guide...

    Original file (1,458 × 1,887 pixels, file size: 484 KB, MIME type: application/pdf, 6 pages) This is a file from the Wikimedia Commons . Information from its description page there is shown below.

  6. Quigley scale - Wikipedia

    en.wikipedia.org/wiki/Quigley_scale

    The Quigley scale is a descriptive, visual system of phenotypic grading that defines seven classes between "fully masculinized" and "fully feminized" genitalia. It was proposed by pediatric endocrinologist Charmian A. Quigley et al. in 1995. [1]

  7. File:Library of Congress Classification Class C.pdf - Wikipedia

    en.wikipedia.org/wiki/File:Library_of_Congress...

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  8. Variant Call Format - Wikipedia

    en.wikipedia.org/wiki/Variant_Call_Format

    The Variant Call Format or VCF is a standard text file format used in bioinformatics for storing gene sequence or DNA sequence variations. The format was developed in 2010 for the 1000 Genomes Project and has since been used by other large-scale genotyping and DNA sequencing projects.

  9. Qualitative variation - Wikipedia

    en.wikipedia.org/wiki/Qualitative_variation

    Variation varies between 0 and 1. Variation is 0 if and only if all cases belong to a single category. Variation is 1 if and only if cases are evenly divided across all categories. [1] In particular, the value of these standardized indices does not depend on the number of categories or number of samples.