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A shorthand method for calculating the score of an edge in a research map.

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posted on 2018-05-03, 17:32 authored by Nicholas J. Matiasz, Justin Wood, Pranay Doshi, William Speier, Barry Beckemeyer, Wei Wang, William Hsu, Alcino J. Silva

A table representing the model space of experiments is instantiated with a pseudocount of one (a form of Laplace smoothing). The symbols along the left indicate the classes of experiments involving an Agent, A: Positive Intervention (A ↑), Positive Non-intervention (A), Negative Non-intervention (A), and Negative Intervention (A ↓). The symbols along the top indicate the results recorded in a Target, B: increase (B+), no change (B0), and decrease (B−). This particular instantiation of the scoring table encodes four (5 − 1) Positive Interventions that caused the Target to increase, one (2 − 1) Positive Non-intervention that caused the Target to decrease, and one (2 − 1) Negative Non-intervention that caused the Target to decrease. There are thus five experiments suggesting an Excitatory relation (green regions), and one experiment suggesting an Inhibitory relation (red region).

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