Fichas
Bioinfo: ML+prot prediction
Fichas del conjunto (5)
- 1Describe Accuracy metric(Nbr of correct predictions/tot nbr of predictions)*100
- 2Describe 1) precision and 2) recall metric1) precision: TP/(TP+FP)
2) recall = sensitivity: TP/(TP+FN) - 3What is F1 score?metric to evaluate a classification NN
2*precision*recall/(precision+recall) - 4Describe specificity metricTN/TN+FP
- 5Homology modelling vs ab initioHM:
- rely on templates and alignment
- need for homologs and known struct
Ab initio:
- prediction is not restricted to known struct
- inacurate because of physics
- fold with min energy not always valid
Información
- Descripción
- 1. Jahr (Bioinformatics) MTLS 1st year Fichas sobre Bioinfo: ML+prot prediction, creado por eliott bosshard el 07/02/2022.
- Creado por
- eliott bosshard
- Visitas
- 3
- Valoración