A Causal Network Analysis of Neuromodulation in the Mood Processing Network
Sign Up to like & getrecommendations! Published in 2020 at "Neuron"
DOI: 10.1016/j.neuron.2020.06.012
Abstract: Neural decoding and neuromodulation technologies hold great promise for treating mood and other brain disorders in next-generation therapies that manipulate functional brain networks. Here we perform a novel causal network analysis to decode multiregional communication… read more here.
Keywords: causal network; network; communication; mood ... See more keywords
Novel Causal Network Modeling Method Integrating Process Knowledge with Modified Transfer Entropy: A Case Study of Complex Chemical Processes
Sign Up to like & getrecommendations! Published in 2017 at "Industrial & Engineering Chemistry Research"
DOI: 10.1021/acs.iecr.7b02700
Abstract: With the increasing development of modern industries, ensuring the safety and reliability of production processes becomes a more and more urgent task. Alarm root cause analysis plays a very significant role in preventing faults of… read more here.
Keywords: causal network; method; transfer entropy; process knowledge ... See more keywords
Satellite Telemetry Data Anomaly Detection Using Causal Network and Feature-Attention-Based LSTM
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3151930
Abstract: Most of the data-driven satellite telemetry data anomaly detection methods suffer from high false positive rate (FPR) and poor interpretability. To solve the above problems, we propose an anomaly detection framework using causal network and… read more here.
Keywords: telemetry data; telemetry; anomaly detection; causal network ... See more keywords
Differential gene regulatory pattern in the human brain from schizophrenia using transcriptomic-causal network
Sign Up to like & getrecommendations! Published in 2020 at "BMC Bioinformatics"
DOI: 10.1186/s12859-020-03753-6
Abstract: Background Common and complex traits are the consequence of the interaction and regulation of multiple genes simultaneously, therefore characterizing the interconnectivity of genes is essential to unravel the underlying biological networks. However, the focus of… read more here.
Keywords: causal network; network; differential gene; regulatory pattern ... See more keywords
Voting-based integration algorithm improves causal network learning from interventional and observational data: An application to cell signaling network inference.
Sign Up to like & getrecommendations! Published in 2021 at "PloS one"
DOI: 10.1371/journal.pone.0245776
Abstract: In order to increase statistical power for learning a causal network, data are often pooled from multiple observational and interventional experiments. However, if the direct effects of interventions are uncertain, multi-experiment data pooling can result… read more here.
Keywords: causal network; voting based; network; network inference ... See more keywords