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Veronica Vinciotti

Showing results (1-10 of 20) with videos related to

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Methods in Molecular Biology (Clifton, N.J.)|February 23, 2017
Modelling ChIP-seq Data Using HMMsVeronica Vinciotti
Statistical Applications in Genetics and Molecular Biology|October 6, 2009
M-quantile regression analysis of temporal gene expression dataVeronica Vinciotti, Keming Yu
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|March 13, 2008
Computational modeling of post-transcriptional gene regulation by microRNAsRaya Khanin, Veronica Vinciotti
Biostatistics (Oxford, England)|September 12, 2018
ℓ 1-Penalized censored Gaussian graphical modelLuigi Augugliaro, Antonino Abbruzzo, Veronica Vinciotti
Entropy (Basel, Switzerland)|December 3, 2020
A Simple and Adaptive Dispersion Regression Model for Count DataHadeel S Klakattawi, Veronica Vinciotti, Keming Yu
BMC Bioinformatics|September 7, 2016
NEAT: an efficient network enrichment analysis testMirko Signorelli, Veronica Vinciotti, Ernst C Wit
Applied Bioinformatics|March 17, 2006
Robust Selection of Predictive Genes via a Simple ClassifierVeronica Vinciotti, Allan Tucker, Paul Kellam, et al.
Statistical Applications in Genetics and Molecular Biology|March 30, 2016
Model selection for factorial Gaussian graphical models with an application to dynamic regulatory networksVeronica Vinciotti, Luigi Augugliaro, Antonino Abbruzzo, et al.
Artificial Intelligence in Medicine|May 17, 2005
A spatio-temporal Bayesian network classifier for understanding visual field deteriorationAllan Tucker, Veronica Vinciotti, Xiaohui Liu, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|August 1, 2009
An extended Kalman filtering approach to modeling nonlinear dynamic gene regulatory networks via short gene expression time seriesZidong Wang, Xiaohui Liu, Yurong Liu, et al.
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
Methods in Molecular Biology (Clifton, N.J.)|February 23, 2017
Modelling ChIP-seq Data Using HMMsVeronica Vinciotti
Statistical Applications in Genetics and Molecular Biology|October 6, 2009
M-quantile regression analysis of temporal gene expression dataVeronica Vinciotti, Keming Yu
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|March 13, 2008
Computational modeling of post-transcriptional gene regulation by microRNAsRaya Khanin, Veronica Vinciotti
Biostatistics (Oxford, England)|September 12, 2018
ℓ 1-Penalized censored Gaussian graphical modelLuigi Augugliaro, Antonino Abbruzzo, Veronica Vinciotti
Entropy (Basel, Switzerland)|December 3, 2020
A Simple and Adaptive Dispersion Regression Model for Count DataHadeel S Klakattawi, Veronica Vinciotti, Keming Yu
BMC Bioinformatics|September 7, 2016
NEAT: an efficient network enrichment analysis testMirko Signorelli, Veronica Vinciotti, Ernst C Wit
Applied Bioinformatics|March 17, 2006
Robust Selection of Predictive Genes via a Simple ClassifierVeronica Vinciotti, Allan Tucker, Paul Kellam, et al.
Statistical Applications in Genetics and Molecular Biology|March 30, 2016
Model selection for factorial Gaussian graphical models with an application to dynamic regulatory networksVeronica Vinciotti, Luigi Augugliaro, Antonino Abbruzzo, et al.
Artificial Intelligence in Medicine|May 17, 2005
A spatio-temporal Bayesian network classifier for understanding visual field deteriorationAllan Tucker, Veronica Vinciotti, Xiaohui Liu, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|August 1, 2009
An extended Kalman filtering approach to modeling nonlinear dynamic gene regulatory networks via short gene expression time seriesZidong Wang, Xiaohui Liu, Yurong Liu, et al.
Pageof 2