CohortMeasurement

Some of our data is available as the aggregate measurements for a group of experimental animals. An example is shown below. The implicit assumption is that the measurements are normally distributed TODO decide if the EMS should commit to the assumption of Normality.

"strainmeans": [
    {
      "cv": 0.1963,
      "maxval": 3119.0,
      "mean": 2502.0,
      "measnum": 89013,
      "minval": 1782.0,
      "nmice": 8,
      "sd": 491.1,
      "sem": 173.6,
      "sex": "f",
      "strain": "CC002/UncJ",
      "strainid": 1502,
      "varname": "distance_total_OF",
      "zscore": -0.36
    },
    {
      "cv": 0.1071,
      "maxval": 4936.0,
      "mean": 4195.0,
      "measnum": 89013,
      "minval": 3821.0,
      "nmice": 5,
      "sd": 449.1,
      "sem": 200.8,
      "sex": "f",
      "strain": "CC003/UncJ",
      "strainid": 1503,
      "varname": "distance_total_OF",
      "zscore": 0.62
    },

Initial mapping

message CohortMeasurement {
  string id = 1;
  int32 number_of_animals = 2;
  OntologyClass strain = 3;
  OntologyClass assay = 4;
  Sex sex = 5;
  double mean = 6;
  double minimum_value = 7;
  double maximum_value = 8;
  double standard_deviation = 9;
  double standard_error_of_mean = 10;
  double zscore = 11;
}