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  2. Minimum information about a microarray experiment - Wikipedia

    en.wikipedia.org/wiki/Minimum_information_about...

    Minimum information about a microarray experiment (MIAME) is a standard created by the FGED Society for reporting microarray experiments. [1]MIAME is intended to specify all the information necessary to interpret the results of the experiment unambiguously and to potentially reproduce the experiment.

  3. Factorial experiment - Wikipedia

    en.wikipedia.org/wiki/Factorial_experiment

    The expected response to a given treatment combination is called a cell mean, [12] usually denoted using the Greek letter μ. (The term cell is borrowed from its use in tables of data.) This notation is illustrated here for the 2 × 3 experiment. A contrast in cell means is a linear combination of cell means in which the coefficients sum to 0 ...

  4. Template:Reactionbox - Wikipedia

    en.wikipedia.org/wiki/Template:Reactionbox

    This template was developed to handle the reaction ontologies as e.g. developed by the RSC (Royal Society of Chemistry). A representation of the ontology is shown in the picture on the right. A representation of the ontology is shown in the picture on the right.

  5. Wikipedia : Manual of Style/Chemistry/Structure drawing

    en.wikipedia.org/wiki/Wikipedia:Manual_of_Style/...

    Chemical structures and reaction schemes should conform to the following: Images should be drawn with a molecule editor, never freehand; ACS settings should be used for both structures and reaction schemes. These settings are normally available as templates in chemical drawing programs. Use sans-serif fonts like Arial.

  6. Template:Biochem reaction subunit/doc - Wikipedia

    en.wikipedia.org/wiki/Template:Biochem_reaction...

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  7. Template:Reaction mechanisms - Wikipedia

    en.wikipedia.org/wiki/Template:Reaction_mechanisms

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  8. Fractional factorial design - Wikipedia

    en.wikipedia.org/wiki/Fractional_factorial_design

    The response variable is measured using a combination of factors at different levels, and each unique combination is known as a run. To reduce the number of runs in comparison to a full factorial, the experiments are designed to confound different effects and interactions, so that their impacts cannot be distinguished.

  9. Design of experiments - Wikipedia

    en.wikipedia.org/wiki/Design_of_experiments

    The use of a sequence of experiments, where the design of each may depend on the results of previous experiments, including the possible decision to stop experimenting, is within the scope of sequential analysis, a field that was pioneered [12] by Abraham Wald in the context of sequential tests of statistical hypotheses. [13]