Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Toni Verbeiren"'
Publikováno v:
F1000Research, Vol 3 (2014)
Dendrograms are graphical representations of binary tree structures resulting from agglomerative hierarchical clustering. In Life Science, a cluster heat map is a widely accepted visualization technique that utilizes the leaf order of a dendrogram to
Externí odkaz:
https://doaj.org/article/e16467140ea249699dc8bdd2aba776bc
Autor:
Gert Hulselmans, Christopher Flerin, Stein Aerts, Maxime de Waegeneer, Wouter Saelens, Dries De Maeyer, Toni Verbeiren, Yvan Saeys, Bram Van de Sande, Quentin Rouchon, Ruth Seurinck, Kristofer Davie, Sara Aibar, Joke Reumers, Robrecht Cannoodt
Publikováno v:
Nature Protocols
This protocol explains how to perform a fast SCENIC analysis alongside standard best practices steps on single-cell RNA-sequencing data using software containers and Nextflow pipelines. SCENIC reconstructed regulons (i.e., transcription factors and t
Publikováno v:
Physica A: Statistical Mechanics and its Applications. 368:311-325
The three-state Ising neural network with synchronous updating and variable dilution is discussed starting from the appropriate Hamiltonians. The thermodynamic and retrieval properties are examined using replica mean-field theory. Capacity-temperatur
Publikováno v:
Journal of Physics. A, Mathematical and General, 36, 10269-10277. IOP Publishing Ltd.
We introduce a spherical Hopfield-type neural network involving neurons and patterns that are continuous variables. We study both the thermodynamics and dynamics of this model. In order to have a retrieval phase a quartic term is added to the Hamilto
The effects of a variable amount of random dilution of the synaptic couplings in Q-Ising multi-state neural networks with Hebbian learning are examined. A fraction of the couplings is explicitly allowed to be anti-Hebbian. Random dilution represents
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b12b296050cddeb7bd81b8f00892a7f
Using the generating functional analysis an exact recursion relation is derived for the time evolution of the effective local field of the fully connected Little-Hopfield model. It is shown that, by leaving out the feedback correlations arising from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::905ef9cca0e9f8a0c6b48b4fa7b3ffd9
http://arxiv.org/abs/cond-mat/0307499
http://arxiv.org/abs/cond-mat/0307499
The parallel dynamics of the fully connected Blume-Emery-Griffiths neural network model is studied for arbitrary temperature. By employing a probabilistic signal-to-noise approach, a recursive scheme is found determining the time evolution of the dis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd4b82751036c94e19d074f50a9a16ab
Autor:
Toni Verbeiren, Désiré Bollé
The thermodynamic and retrieval properties of fully connected Blume-Emery-Griffiths networks, storing ternary patterns, are studied using replica mean-field theory. Capacity-temperature phase diagrams are derived for several values of the pattern act
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3d11070d58f3bf2f8cffef52127147e
Publikováno v:
F1000Research
Dendrograms are graphical representations of binary tree structures resulting from agglomerative hierarchical clustering. In Life Science, a cluster heat map is a widely accepted visualization technique that utilizes the leaf order of a dendrogram to
Autor:
Désiré Bollé, Toni Verbeiren
The optimal capacity of graded-response perceptrons storing biased and spatially correlated patterns with non-monotonic input-output relations is studied. It is shown that only the structure of the output patterns is important for the overall perform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a61f4f96ca4ea2dfee7fbf56ad81c86
http://arxiv.org/abs/cond-mat/9907392
http://arxiv.org/abs/cond-mat/9907392