• No se han encontrado resultados

Modelling transcriptional regulation using switched dynamical latent force models

N/A
N/A
Protected

Academic year: 2020

Share "Modelling transcriptional regulation using switched dynamical latent force models"

Copied!
50
0
0

Texto completo

Loading

Referencias

Documento similar

 The expansionary monetary policy measures have had a negative impact on net interest margins both via the reduction in interest rates and –less powerfully- the flattening of the

Jointly estimate this entry game with several outcome equations (fees/rates, credit limits) for bank accounts, credit cards and lines of credit. Use simulation methods to

11 Deciphering the role of protein-protein interaction networks in the functional profiling of high-throughput experiments 81 11.1 Ppi networks in Gene Ontology

In the context of Dynamic Factor Models (DFM), we compare point and interval estimates of the underlying unobserved factors extracted using small and big-data procedures..

The evidence that in our case of the Kuramoto model [Equation (5)] the GD-RBM method allows for a more efficient control computation, in particular for large oscillator networks,

Ensembles that combine the decisions of classifiers generated by using perturbed versions of the training set where the classes of the training examples are randomly switched

(b) Scheme of an electrostatic force microscope tip and sample. The tip and sample are characterized by eight parameters: the tip sample distance D, the tip apex radius R, the

Our empirical evalu- ation shows that using domain knowledge drawn from location- based social networks improves the performance of the contextual suggestion model when compared to