For the calculation of prevalences of multimorbidity patterns we assigned individual patients to a pattern if they had diagnoses in at least three groups with a factor loading of 0.25 on the corresponding pattern.
Because these genes showed distinct expression patterns, we assigned them to different clusters for further analysis and discussion.
For the calculation of prevalences of multimorbidity patterns we assigned individual patients to a pattern if they had diagnoses in at least three groups with a factor loading of 0.25 or more on the corresponding pattern.
We assigned XRD pattern according to the data of JCPDS for detection of the actual phases and we added the label for all phases in the XRD pattern.
Thus, we use first part of the MB type header for the pattern mode using '001' code and then assign variable length codes for pattern modes, 8 × 8, 8 × 4, 4 × 8, and 4 × 4. Using the frequency of MB type, we assigned the pattern modes, 8 × 8, 8 × 4, 4 × 8, and 4 × 4 as '10, '111, '1100, '1100', and '1101', respectively.
Thus, the patterns and the descriptive names we assigned them are new in this literature.
Instead, we assigned patients to a pattern if they had a diagnosis in at least three pattern-specific groups (cf. section statistical analyses).
To accurately extend the interpretation of this pattern, we need to assign these structural variations to individuals in a population context.
For each voxel, thus, we assign a pattern of all fluorophores that are "supra-threshold" there.
We assign methylation pattern x i to rate category m ^ = argmax m P (x i | r ^ m, ϑ ^ ) P (m ) / P (x i | ϑ ^ ), where P (m ) = β ^ for m = 0 and P (m ) = (1 − β ^ ) / M for 1 ≤ m ≤ M. Our model of DNA methylation dynamics can reconstruct missing or unobserved methylation states in a cell type.
