publicly documented и electronically encoded values (биоинформатика) gen.

[dao2812]

[The measured values may be empirical values. The measured values may be publicly documented or published values. The measured values may be electronically encoded. The measured values may be stored in the machine-readable memory

как лучше перевести publicly documented values? и electronically encoded values?

Спасибо!

[ramix]

Как вариант, если впишется в ваш контекст:
publicly documented values - официально задокументированные величины
electronically encoded values - величины в электронном закодированном виде

[dao2812]

спасибо!
официально задокументированные величины. publicly - здесь имеется в виду "общедосупные величины? в открытом доступе?
electronically encoded - закодированные электронным устройством или закодированные в электронном виде?

[ramix]

publicly может быть и публично, и открыто, и совместно - тут уж выбирайте сами, что больше вписывается в ваш контекст

electronically encoded - я так понимаю, что они "закодированы электронным способом" - по сути все данные, передаваемые при помощи электрической связи, являются тем или иным способом закодированными

Вы фактически не привели контекста. Это просто набор предложений "на тему". Поэтому однозначно сказать что-то тяжело.

[dao2812]

контекст для данной главы:
OBJECTIVE FUNCTION SCALING FACTORS
[071] The methods may include selecting the scaling factors. Selecting the scaling factors may include selecting the scaling factors from a set of scaling factors. “Scaling factors” may also be referred to as “coefficients.”
[072] The scaling factor sets may include scaling factors for each of one or more antibody classes. The antibody class may include IgG, IgA, IgE, IgM and IgD. The antibody class may also include subclass; unlimited examples of subclass include IgG1, IgG2, IgG3 and IgG4. The antibody class may be IgG. The antibody class may be IgG1. The antibody class may be IgG4.
[073] The scaling factor set may include for each class (or subclass) a set of scaling factors for each of one or more solution conditions. The solution conditions may be simulated solution conditions, as may be used for MD simulations. The solution conditions may be actual, wet solution conditions.
[074] The scaling factor set may include for each class (or subclass), and for each solution condition, a scaling factor corresponding to each of the structural parameters.
[075] The scaling factor set may be stored in the machine-readable memory. The logical processing device may select the scaling factors. Selecting the scaling factors may include retrieving the scaling factors from the machine-readable memory. The logical processing device may retrieve the scaling factors from the machine-readable memory.
[076] Selecting the scaling factors may include deriving the scaling factors. The scaling factors may be derived by fitting the objective function to empirical values of the physiochemical characteristics of a set of test antibodies. The scaling factors may be coefficients or constants arrived at by regressing calculated values of structural parameters comprising an objective function against measured values of the physiochemical characteristics of a training set of antibodies (also referred to herein as "test antibodies") under each of the different solution conditions. The scaling factors may be derived by any other means of fitting the structural parameters comprising an objective function to the measured values of the physiochemical characteristics. The logical processing device may fit the structural parameters of an objective function to the measured values of the physiochemical characteristics. Once derived, the same scaling factor set may apply to prediction of viscosity or Asp isomerization or other physiochemical characteristic