In supervised learning, each example is a pair consisting of an input object (typically a vector) and a desired output value (also called the supervisory signal). A supervised learning algorithm analyzes the training data and produces an inferred function, which can be used for mapping new examp...
This was performed using iRegulon algorithm29 version 1.3 with the following parameters: 20 kb upstream of the transcription start site; 10 K (9713 PWMs) motif collection; 0.03 ROC threshold for area under the curve; 0.001 FDR. Nuclear import/export sequences and protein–protein interaction...