11 research outputs found
Uncovering Gene Regulatory Networks from Time-Series Microarray Data with Variational Bayesian Structural Expectation Maximization
We investigate in this paper reverse engineering of gene regulatory networks from time-series microarray data. We apply dynamic Bayesian networks (DBNs) for modeling cell cycle regulations. In developing a network inference algorithm, we focus on soft solutions that can provide a posteriori probability (APP) of network topology. In particular, we propose a variational Bayesian structural expectation maximization algorithm that can learn the posterior distribution of the network model parameters and topology jointly. We also show how the obtained APPs of the network topology can be used in a Bayesian data integration strategy to integrate two different microarray data sets. The proposed VBSEM algorithm has been tested on yeast cell cycle data sets. To evaluate the confidence of the inferred networks, we apply a moving block bootstrap method. The inferred network is validated by comparing it to the KEGG pathway map
Spatial Dependence of the Phonon-Limited Mobility in Arbitrarily Oriented Si-Nanowires
The study of the transport properties of Si-Nanowires (NWs) is a research field of high interest. The spatial dependence of the low-field mobility and, in particular, the role of the corners is still not clear. Only
recently, Lee et al. have considered their impact on the mobility through the development of a Spatial Dependent Mobility (SDM) expression. In this work, we extend their approach to study the phonon-limited
mobility (ÎŒph ) of arbitrarily oriented square NWs.Work supported by the projects P09-TIC-4873, FIS-2008-05805 and FIS-2011-26005. E. GonzĂĄlez MarĂn also acknowledges the FPU program
Back-Gate Biasing Influence on the Electron Mobility and the Threshold Voltage of Ultra Thin Box Multigate MOSFETs
This work studies the influence of the back-gate bias on the
threshold voltage (V T ) and the electron mobility of silicon
trigate devices over ultra-thin-box. The analysis allows us to
confirm the possibility of achieving body factors higher than
Îł=0.1 as long as the width is increased and the height is
reduced as much as possible. Also, we have demonstrated the
impact of the back-gate biasing on the electron mobility using
state-of-the-art scattering models for 2D confined devices.This work was supported by the Spanish Government under Project FIS2011-26005 and the FPU program, the Junta de AndalucĂa under Project P09-TIC4873, and the CEI-BioTIC GENIL program under the start-up project PYR-2012-5
Hole mobility of cylindrical GaSb nanowires
The hole mobility of GaSb field-effect
transistor nanowires is analyzed as a function of the device
orientation and gate bias. To this purpose, a self-consistent
Poisson-Schrödinger solver with an 88 k·p Hamiltonian is
employed to study the electrostatics, and the hole mobility
is calculated under the momentum relaxation time solution
of the Boltzmann transport equation including the main
high-field scattering mechanisms.The authors acknowledge the support by the Spanish Government under the Project TEC2014-59730-R
Técnicas bayesianas aplicadas al procesado de señal en comunicaciones y genómica
Tesis Univ. Granada. Departamento de FĂsica Aplicada. LeĂda el 11 de julio de 200
Adaptive Blind Multiuser Detection over Flat Fast Fading Channels Using Particle Filtering
We propose a method for blind multiuser detection (MUD) in synchronous systems over flat and fast Rayleigh fading channels. We adopt an autoregressive-moving-average (ARMA) process to model the temporal correlation of the channels. Based on the ARMA process, we propose a novel time-observation state-space model (TOSSM) that describes the dynamics of the addressed multiuser system. The TOSSM allows an MUD with natural blending of low-complexity particle filtering (PF) and mixture Kalman filtering (for channel estimation). We further propose to use a more efficient PF algorithm known as the stochastic -algorithm (SMA), which, although having lower complexity than the generic PF implementation, maintains comparable performance
Study of the Gate Capacitance of GaAs, InAs and InGaAs Nanowires
In this work, a simulation-based study of the gate capacitance of III-V nanowires is performed by using a 2D Schrödinger-Poisson solver. The effective mass approximation, including non-parabolic corrections, is
used to model the semiconductor conduction band. Also,wave-function penetration into the gate dielectric is considered. We assess the impact of parameters such as the gate-insulator effective mass and the satellite conduction band valleys energy offsets.Work supported by the projects P09-TIC-4873, FIS-2008-05805 and FIS-2011-26005. E. GonzĂĄlez MarĂn
also acknowledges the FPU program
Back-Gate Biasing Influence on the Electron Mobility and the Threshold Voltage of Ultra Thin Box Multigate MOSFETs
This work studies the influence of the back-gate bias on the
threshold voltage (V T ) and the electron mobility of silicon
trigate devices over ultra-thin-box. The analysis allows us to
confirm the possibility of achieving body factors higher than
Îł=0.1 as long as the width is increased and the height is
reduced as much as possible. Also, we have demonstrated the
impact of the back-gate biasing on the electron mobility using
state-of-the-art scattering models for 2D confined devices.This work was supported by the Spanish Government under Project FIS2011-26005 and the FPU program, the Junta de AndalucĂa under Project P09-TIC4873, and the CEI-BioTIC GENIL program under the start-up project PYR-2012-5