CCL: What do cheminformaticists do with inconsistently measured data?

["Norrby, Per-Ola" <Per-Ola.Norrby..astrazeneca.com>]

David, I can see two approaches. The first one is that you treat density as a function of temperature, and determines the constants for that function as part of your fit. Allows you to verify post-fitting for known cases, but you could run into problems. For example, some solvents (e.g., water) don't have a linear relationship. 

The second approach is that you don't fit densities, but density differences under same conditions, allows you to divide into independent data sets to be fit simultaneously. 

/Per-Ola

Sent from my iPhone

On 22 Apr 2017, at 02:14, David Shobe avidshobe:yahoo.com <owner-chemistry[ AT ]ccl.net> wrote:

Please excuse crossposting.

For example, if one is doing a QSPR (quantitative structure-properties relation) study of densities of alkanes, and encounters the problem that some densities are measured at 20°C and others at 25°C, how should one handle the inconsistency of measurement conditions?  Note that the difference in density for the same alkane between 20°C and 25°C might be significant in comparison to the difference in density between two isomeric alkanes at the same temperature.  Is is legitimate to try to correct/standardize the 20°C densities to 25°C densities by subtracting or dividing the 20°C densities by some constant?  And if so, how does one determine that constant?  Are there other approaches one can use?

--David Shobe

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