Zobrazeno 1 - 10
of 292
pro vyhledávání: '"Frey Brendan J"'
Autor:
Beaulieu Chandree L, Samuels Mark E, Ekins Sean, McMaster Christopher R, Edwards Aled M, Krainer Adrian R, Hicks Geoffrey G, Frey Brendan J, Boycott Kym M, MacKenzie Alex E
Publikováno v:
Orphanet Journal of Rare Diseases, Vol 7, Iss 1, p 39 (2012)
Abstract With the advent of next-generation DNA sequencing, the pace of inherited orphan disease gene identification has increased dramatically, a situation that will continue for at least the next several years. At present, the numbers of such ident
Externí odkaz:
https://doaj.org/article/2528416a32214db7a73f1442198df527
Autor:
Zhang Wen, Morris Quaid D, Chang Richard, Shai Ofer, Bakowski Malina A, Mitsakakis Nicholas, Mohammad Naveed, Robinson Mark D, Zirngibl Ralph, Somogyi Eszter, Laurin Nancy, Eftekharpour Eftekhar, Sat Eric, Grigull Jörg, Pan Qun, Peng Wen-Tao, Krogan Nevan, Greenblatt Jack, Fehlings Michael, van der Kooy Derek, Aubin Jane, Bruneau Benoit G, Rossant Janet, Blencowe Benjamin J, Frey Brendan J, Hughes Timothy R
Publikováno v:
Journal of Biology, Vol 3, Iss 5, p 21 (2004)
Abstract Background Large-scale quantitative analysis of transcriptional co-expression has been used to dissect regulatory networks and to predict the functions of new genes discovered by genome sequencing in model organisms such as yeast. Although t
Externí odkaz:
https://doaj.org/article/52f28627bc7c4a66bbeebc36ec071bc2
We propose generative neural network methods to generate DNA sequences and tune them to have desired properties. We present three approaches: creating synthetic DNA sequences using a generative adversarial network; a DNA-based variant of the activati
Externí odkaz:
http://arxiv.org/abs/1712.06148
Many real-valued stochastic time-series are locally linear (Gassian), but globally non-linear. For example, the trajectory of a human hand gesture can be viewed as a linear dynamic system driven by a nonlinear dynamic system that represents muscle ac
Externí odkaz:
http://arxiv.org/abs/1301.6731
Autor:
Frey, Brendan J., Jojic, Nebojsa
Mixtures of Gaussians, factor analyzers (probabilistic PCA) and hidden Markov models are staples of static and dynamic data modeling and image and video modeling in particular. We show how topographic transformations in the input, such as translation
Externí odkaz:
http://arxiv.org/abs/1301.3854
Some types of medical and topographic imaging device produce images in which the pixel values are "phase-wrapped", i.e. measured modulus a known scalar. Phase unwrapping can be viewed as the problem of inferring the number of shifts between each and
Externí odkaz:
http://arxiv.org/abs/1301.2252
Autor:
Rosales, Romer, Frey, Brendan J.
We describe a probabilistic (generative) view of affinity matrices along with inference algorithms for a subclass of problems associated with data clustering. This probabilistic view is helpful in understanding different models and algorithms that ar
Externí odkaz:
http://arxiv.org/abs/1212.2494
Autor:
Frey, Brendan J.
The two most popular types of graphical model are directed models (Bayesian networks) and undirected models (Markov random fields, or MRFs). Directed and undirected models offer complementary properties in model construction, expressing conditional i
Externí odkaz:
http://arxiv.org/abs/1212.2486
Cardinality potentials are a generally useful class of high order potential that affect probabilities based on how many of D binary variables are active. Maximum a posteriori (MAP) inference for cardinality potential models is well-understood, with e
Externí odkaz:
http://arxiv.org/abs/1210.4899
Based on a recent development in the area of error control coding, we introduce the notion of convolutional factor graphs (CFGs) as a new class of probabilistic graphical models. In this context, the conventional factor graphs are referred to as mult
Externí odkaz:
http://arxiv.org/abs/1207.4136