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Re-iterating (Q SAR modeling, statistical validation and visualization can improve the model predictivity and supports the researcher in mechanistically interpreting model predictions, which is an important requirement for the acceptance of (Q SAR models as alternative testingmethod.
Calibration of the model predictions, which is related to reliability, was assessed by plotting the predicted individual probability against the observed sick leave.
For each number of best co-expressed gene pairs (i.e. for 1 to ~8000 gene pairs with the smallest distances), we calculated the average functional similarity of our predictions (which is the same as the accuracy or the positive predictive value).
Unfortunately, the computational methods produce many false predictions along with the correct predictions, which is unwanted.
Such simplifying assumptions add a level of uncertainty to the predictions which is not well understood.
Even in normal times, forecasters have a strong incentive to make extreme predictions, which is why those "Dow 1,000!" reports persist.
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The rhetoric of intransigence favors extreme predictions, which are seldom borne out.
This trend contrasts with short-range individual storm predictions, which are getting increasingly accurate in terms of forecast track.
Babylonian eclipse predictions, which were based on past series of observations, were fairly accurate for this early period.
Forget all of the other predictions, which were varying degrees of mistaken; I shoulda been a film critic.
These approaches are generating experimentally testable predictions which are informing synthetic strategies for ecdysteroid analogues.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com