Results 41 to 50 of about 152,362 (267)

Intent Inference of Ship Collision Avoidance Behavior Under Maritime Traffic Rules

open access: yesIEEE Access, 2021
This paper proposes an algorithm to infer the maneuver intention of an obstacle ship and to check its compliance with the maritime traffic rules to avoid ship collision and ensure maritime traffic safety. A probabilistic graphical model is constructed to
Yonghoon Cho, Jonghwi Kim, Jinwhan Kim
doaj   +1 more source

Diversified probabilistic graphical models [PDF]

open access: yes, 2016
University of Technology Sydney. Faculty of Engineering and Information Technology.Probabilistic graphical models (PGMs) as diverse as Bayesian networks and Markov random fields have provided a fundamental framework to learn and reason using limited and ...
Qiao, Maoying
core  

COMP–PMEPA1 axis promotes epithelial‐to‐mesenchymal transition in breast cancer cells

open access: yesMolecular Oncology, EarlyView.
This study reveals that cartilage oligomeric matrix protein (COMP) promotes epithelial‐to‐mesenchymal transition (EMT) in breast cancer. We identify PMEPA1 (protein TMEPAI) as a novel COMP‐binding partner that mediates EMT via binding to the TSP domains of COMP, establishing the COMP–PMEPA1 axis as a key EMT driver in breast cancer.
Konstantinos S. Papadakos   +6 more
wiley   +1 more source

Accurate determination of node and arc multiplicities in de bruijn graphs using conditional random fields

open access: yesBMC Bioinformatics, 2020
Background De Bruijn graphs are key data structures for the analysis of next-generation sequencing data. They efficiently represent the overlap between reads and hence, also the underlying genome sequence.
Aranka Steyaert   +2 more
doaj   +1 more source

Differential expression of cancer‐related genes supports prediction of poor response to first‐line treatments in T‐ALL pediatric patients with high minimal residual disease

open access: yesMolecular Oncology, EarlyView.
In the present work, we have identified a transcriptional signature based on the differential expression of six genes (BCL2&MAST4, HSH2D&LAT2, METRN&PITPNM2) that would facilitate the early detection of T‐cell acute lymphoblastic leukemia (T‐ALL) patients prone to a poor treatment response and could be implemented at diagnosis, along with other risk ...
Antonio Lahera   +11 more
wiley   +1 more source

Interaction of HS1BP3 with cortactin modulates TKS5 localisation, cell secretion and cancer malignancy

open access: yesMolecular Oncology, EarlyView.
Here, we demonstrate that HS1BP3 interacts with Cortactin through a proline‐rich region (PRR3.1) and show that this interaction, and HS1BP3 itself, promote cancer cell proliferation and invasion. Inhibition of this interaction leads to build‐up of TKS5 in multivesicular endosomes and altered secretion of CD63 and CD9, providing an explanation for the ...
Arja Arnesen Løchen   +9 more
wiley   +1 more source

Metastasis on pause: How dormant tumor cells stay hidden within the tumor microenvironment and evade immune surveillance

open access: yesMolecular Oncology, EarlyView.
Dormant cancer cells can hide in distant organs for years, evading treatment and the immune system. This review highlights how signals from the surrounding tissue and immune environment keep these cells inactive or trigger their reawakening. Understanding these mechanisms may help develop therapies to eliminate or control dormant cells and prevent ...
Kanishka Tiwary   +1 more
wiley   +1 more source

Underwater Network Time Synchronization Method Based on Probabilistic Graphical Models

open access: yesJournal of Marine Science and Engineering
In underwater clustering and benchmark networks, nodes need to reduce the rate and energy consumption of acoustic communication while ensuring synchronization accuracy.
Yujie Ouyang   +3 more
doaj   +1 more source

Yes we care!-Certification for machine learning methods through the care label framework

open access: yesFrontiers in Artificial Intelligence, 2022
Machine learning applications have become ubiquitous. Their applications range from embedded control in production machines over process optimization in diverse areas (e.g., traffic, finance, sciences) to direct user interactions like advertising and ...
Katharina J. Morik   +8 more
doaj   +1 more source

Interference Effects in Quantum Belief Networks

open access: yes, 2014
Probabilistic graphical models such as Bayesian Networks are one of the most powerful structures known by the Computer Science community for deriving probabilistic inferences.
Moreira, Catarina, Wichert, Andreas
core   +1 more source

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