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Screening relies on looking for clinical situations that lead to an increase in the risk of malnutrition, assessment of appetite, and measurement of nutritional markers (weight, body mass index [BMI]).
Tumors from other origins were generally difficult to palpate, so other fitness markers (weight loss, skin condition, motility, and so on) were used to decide when to sacrifice an animal.
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Genome-wide association analyses were used to derive marker weights for creating weighted genomic relationship matrices.
However, the marker effect estimation step might be not necessary as marker weights could be provided by existing genome-wide association studies (GWAS) or known candidate-gene effects.
This sample set generated comparable tumour marker weights to the metastatic patients.
The methods used to estimate marker weights were single-marker regression (markers are included if the F-test is significant), Bayesian Ridge Regression and Bayesian LASSO.
When the individual markers are rescaled to have a standard deviation of one (denoted by underlining), the aggregate marker weights give an estimate of the marker importance.
In the initial state, for each anchor marker a weight of 1 was taken.
Molecular weight markers are Rainbow pre-stained molecular weight markers (Amersham Life Science, Buckinghamshire, UK).
MW: molecular weight markers.
MW = Molecular weight markers (kDa).
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