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When basing a classification decision on only a few features, it is more robust to consider binary occurrence only.
As described in the Materials and methods Section, the substructures were fragmented and used to derive a binary occurrence fingerprint for the extended similarity measure (1).
From these fragments we build a binary occurrence fingerprint that is used to encode the reference molecules and all database molecules.
These relevant substructures are then fragmented and the fragments' occurrences in a chemical structure are used as bits in a binary occurrence fingerprint.
From those frequent substructures we build the binary occurrence fingerprint used to encode our molecules and used to calculate si m bind_fp.
As described in the Materials and methods Section, the substructure was fragmented and used to derive a binary occurrence fingerprint of length 57 for the extended similarity measure (1).
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For each document identified, a relevancy metric (specifically, binary term occurrence) is computed to evaluate whether the document is truly related and not just a copy of the same document or too distinct to be useful.
The fragment presence was encoded as a binary string (occurrence code) specific for every taxon.
Any significant variables were then compared against a binary variable "occurrence within or outside the cluster" in a multivariable logistic regression model constructed in Stata.
Occurrence bit-code generation report ③ is accompanied by the 'Show' link, which displays a table with taxa and their binary glycoprofiles (occurrence codes), together with a separate list of the fragments used.
The Cox proportional hazards regression model adjusted with stepwise selection of covariates (SOFA score at the first 4 days, age, cortisol levels at admission, S100B levels at day 2, and 2 binary variables: occurrence of brain dysfunction or nosocomial infection) was used to determine the risk factors associated with ICU mortality.
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