Articles with "network inference" as a keyword



Statistical Network Inference for Time-Varying Molecular Data with Dynamic Bayesian Networks.

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Published in 2019 at "Methods in molecular biology"

DOI: 10.1007/978-1-4939-8882-2_2

Abstract: In this chapter, we review the problem of network inference from time-course data, focusing on a class of graphical models known as dynamic Bayesian networks (DBNs). We discuss the relationship of DBNs to models based… read more here.

Keywords: network; time varying; time; network inference ... See more keywords
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SIES: A Novel Implementation of Spiking Convolutional Neural Network Inference Engine on Field-Programmable Gate Array

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Published in 2020 at "Journal of Computer Science and Technology"

DOI: 10.1007/s11390-020-9686-z

Abstract: Neuromorphic computing is considered to be the future of machine learning, and it provides a new way of cognitive computing. Inspired by the excellent performance of spiking neural networks (SNNs) on the fields of low-power… read more here.

Keywords: network; convolutional neural; network inference; neural network ... See more keywords

Bayesian Network inference for probabilistic strength estimation of aging pipeline systems

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Published in 2018 at "International Journal of Pressure Vessels and Piping"

DOI: 10.1016/j.ijpvp.2018.01.004

Abstract: Abstract A novel approach for reliability assessment of aging gas pipeline systems based on a Bayesian network methodology is proposed in this paper with a focus on the improvement of the pipeline strength prediction. A… read more here.

Keywords: network inference; strength; pipeline systems; bayesian network ... See more keywords

Experimental noise cutoff boosts inferability of transcriptional networks in large-scale gene-deletion studies

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Published in 2017 at "Nature Communications"

DOI: 10.1038/s41467-017-02489-x

Abstract: Generating a comprehensive map of molecular interactions in living cells is difficult and great efforts are undertaken to infer molecular interactions from large-scale perturbation experiments. Here, we develop the analytical and numerical tools to quantify… read more here.

Keywords: large scale; network; transcriptional networks; network inference ... See more keywords

Network inference from short, noisy, low time-resolution, partial measurements: Application to C. elegans neuronal calcium dynamics.

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Published in 2023 at "Proceedings of the National Academy of Sciences of the United States of America"

DOI: 10.1073/pnas.2216030120

Abstract: Network link inference from measured time series data of the behavior of dynamically interacting network nodes is an important problem with wide-ranging applications, e.g., estimating synaptic connectivity among neurons from measurements of their calcium fluorescence.… read more here.

Keywords: network; calcium; time; network inference ... See more keywords

Network Inference With the Lasso

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Published in 2024 at "Multivariate Behavioral Research"

DOI: 10.1080/00273171.2024.2317928

Abstract: Abstract Calculating confidence intervals and p-values of edges in networks is useful to decide their presence or absence and it is a natural way to quantify uncertainty. Since lasso estimation is often used to obtain… read more here.

Keywords: lasso; confidence intervals; network inference; network ... See more keywords

Interaction-based transcriptome analysis via differential network inference

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Published in 2022 at "Briefings in Bioinformatics"

DOI: 10.1093/bib/bbac466

Abstract: Abstract Gene-based transcriptome analysis, such as differential expression analysis, can identify the key factors causing disease production, cell differentiation and other biological processes. However, this is not enough because basic life activities are mainly driven… read more here.

Keywords: network; differential network; network inference; interaction based ... See more keywords

MANIEA: A Microbial Association Network Inference Method Based on Improved Eclat Association Rule Mining Algorithm.

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Published in 2021 at "Bioinformatics"

DOI: 10.1093/bioinformatics/btab241

Abstract: MOTIVATION Modelling microbiome systems as complex networks is known as the problem of network inference. Microbial association network inference is of great significance in applications on clinical diagnosis, disease treatment, pathological analysis, etc. However, most… read more here.

Keywords: network; association; microbial association; network inference ... See more keywords

Importance-Penalized Joint Graphical Lasso (IPJGL): differential network inference via GGMs.

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Published in 2021 at "Bioinformatics"

DOI: 10.1093/bioinformatics/btab751

Abstract: MOTIVATION Differential network inference is a fundamental and challenging problem to reveal gene interactions and regulation relationships under different conditions. Many algorithms have been developed for this problem; however, they do not consider the differences… read more here.

Keywords: network inference; importance penalized; differential network;

Multiple hot‐deck imputation for network inference from RNA sequencing data

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Published in 2018 at "Bioinformatics"

DOI: 10.1093/bioinformatics/btx819

Abstract: Motivation: Network inference provides a global view of the relations existing between gene expression in a given transcriptomic experiment (often only for a restricted list of chosen genes). However, it is still a challenging problem:… read more here.

Keywords: imputation; network; inference rna; network inference ... See more keywords

OneNet—One network to rule them all: Consensus network inference from microbiome data

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Published in 2024 at "PLOS Computational Biology"

DOI: 10.1101/2023.05.05.539529

Abstract: Modeling microbial interactions as sparse and reproducible networks is a major challenge in microbial ecology. Direct interactions between the microbial species of a biome can help to understand the mechanisms through which microbial communities influence… read more here.

Keywords: microbiome data; inference; consensus network; network inference ... See more keywords