Results 21 to 30 of about 1,485 (251)

Reverse engineering of modified genes by Bayesian network analysis defines molecular determinants critical to the development of glioblastoma. [PDF]

open access: yesPLoS ONE, 2013
In this study we have identified key genes that are critical in development of astrocytic tumors. Meta-analysis of microarray studies which compared normal tissue to astrocytoma revealed a set of 646 differentially expressed genes in the majority of ...
Brian W Kunkle   +2 more
doaj   +1 more source

Some Interesting Observations on the Free Energy Principle

open access: yesEntropy, 2021
Biehl et al. (2021) present some interesting observations on an early formulation of the free energy principle. We use these observations to scaffold a discussion of the technical arguments that underwrite the free energy principle.
Karl J. Friston   +2 more
doaj   +1 more source

Joint Markov Blankets in Feature Sets Extracted from Wavelet Packet Decompositions

open access: yesEntropy, 2011
Since two decades, wavelet packet decompositions have been shown effective as a generic approach to feature extraction from time series and images for the prediction of a target variable.
Gert Van Dijck, Marc M. Van Hulle
doaj   +1 more source

Causal surgery under a Markov blanket

open access: yesBehavioral and Brain Sciences, 2022
Bruineberg et al provide compelling clarity on the roles Markov blankets could (and perhaps should) play in the study of life and mind. However, here we draw attention to a further role blankets might play: as a hypothesis about cognition itself. People and other animals may use blanket-like representations to model the boundary between themselves ...
Daniel Yon, Philip Robert Corlett
openaire   +3 more sources

Identifying risk factors of developing type 2 diabetes from an adult population with initial prediabetes using a Bayesian network

open access: yesFrontiers in Public Health, 2023
BackgroundIt is known that people with prediabetes increase their risk of developing type 2 diabetes (T2D), which constitutes a global public health concern, and it is associated with other diseases such as cardiovascular disease.MethodsThis study aimed ...
Pilar Fuster-Parra   +11 more
doaj   +1 more source

Directed acyclic graphs and causal thinking in clinical risk prediction modeling

open access: yesBMC Medical Research Methodology, 2020
Background In epidemiology, causal inference and prediction modeling methodologies have been historically distinct. Directed Acyclic Graphs (DAGs) are used to model a priori causal assumptions and inform variable selection strategies for causal questions.
Marco Piccininni   +3 more
doaj   +1 more source

Online Feature Selection for Streaming Features Using Self-Adaption Sliding-Window Sampling

open access: yesIEEE Access, 2019
In recent years, online feature selection has been a research topic on streaming feature mining, as it can reduce the dimensionality of the streaming features by removing the irrelevant and redundant features in real time.
Dianlong You   +6 more
doaj   +1 more source

A Technical Critique of Some Parts of the Free Energy Principle

open access: yesEntropy, 2021
We summarize the original formulation of the free energy principle and highlight some technical issues. We discuss how these issues affect related results involving generalised coordinates and, where appropriate, mention consequences for and reveal, up ...
Martin Biehl   +2 more
doaj   +1 more source

Two generalizations of Markov blankets

open access: yesCoRR, 2019
In a probabilistic graphical model on a set of variables $V$, the Markov blanket of a random vector $B$ is the minimal set of variables conditioned to which $B$ is independent from the remaining of the variables $V \backslash B$. We generalize Markov blankets to study how a set $C$ of variables of interest depends on~$B$.
Victor Cohen, Axel Parmentier
openaire   +2 more sources

Single Nucleotide Polymorphisms’ Causal Structure Robustness within Coronary Artery Disease Patients

open access: yesBiology, 2023
An ever-growing amount of accumulated data has materialized in several scientific fields, due to recent technological progress. New challenges emerge in exploiting these data and utilizing the valuable available information.
Maria Ganopoulou   +8 more
doaj   +1 more source

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