Results 31 to 40 of about 62,130 (264)

PAK1 activation drives divergent resistance mechanisms to aromatase inhibition and tamoxifen in a luminal: A breast cancer model

Molecular Oncology, EarlyView.
Breast cancer remains a major cause of cancer death in women, frequently developing endocrine therapy resistance. This study demonstrates that upregulated p21‐activated kinase 1 (PAK1) activity drives resistance to tamoxifen and long‐term estrogen deprivation in ER+ breast cancer models.
Luisa Schwarzmüller, Janina Müller, Efstathios‐Iason Vlachavas, Lukas Beumers, Lena Fleischhacker, Sara Burmester, Angelika Wörner, Sabine Karolus, Dominic Helm, Cindy Körner, Stefan Wiemann   +10 more
wiley   +1 more source

A Topical Review of Quantum and Classical Machine Learning Approaches to Disaster Escape Routing Problems

IEEE Access
The pathfinding problem in a graph has been solved using several classical algorithms, notably Dijkstra’s and A* algorithms. However, most classical algorithms are most effective on static graphs. They either cannot be adapted to dynamic graphs or
A. Vinil, Parameswaran Iyer, Jetain Chetan, Aniket Bembale, Nagendra Singh   +4 more
doaj   +1 more source

Application of dynamic multi-manifold projections algorithmin statistical process monitoring

Journal of Hebei University of Science and Technology, 2022
To solve the problem of serial correlation of industrial data and the changes of global and local structure of data in some abnormal states,the [BF]"[BFQ]time lag migration" method was used to incorporate dynamic behavior into the multi-manifold ...
Jinyu GUO, Xia WANG
doaj  

Reinforcement Learning Based Stochastic Shortest Path Finding in Wireless Sensor Networks

IEEE Access, 2019
Many factors influence the connection states between nodes of wireless sensor networks, such as physical distance, and the network load, making the network’s edge length dynamic in abundant scenarios.
Wenwen Xia, Chong Di, Haonan Guo, Shenghong Li   +3 more
doaj   +1 more source

Single‐cell DNA methylation profiling: Technologies, computation, and applications in precision oncology

Molecular Oncology, EarlyView.
Single‐cell DNA methylation (scDNAme) profiling maps epimutational clonal evolution, revealing mechanisms of malignancy and therapeutic resistance across diverse cancer types. By providing a high‐resolution landscape of intratumoral heterogeneity, these technologies empower precise patient stratification, guide the development of enhanced ...
Ik Soo Kim
wiley   +1 more source

Hybrid Path Planning Algorithm for Autonomous Mobile Robots: A Comprehensive Review

Journal of Sensor and Actuator Networks
Path planning is a complex task in robotics, requiring an efficient and adaptive algorithm to find the shortest path in a dynamic environment. The traditional path planning methods, such as graph-based algorithms, sampling-based algorithms, reaction ...
Mithun Shanmugaraja, Mohanraj Thangamuthu, Sivasankar Ganesan   +2 more
doaj   +1 more source

Node embeddings in dynamic graphs

Applied Network Science, 2019
In this paper, we present algorithms that learn and update temporal node embeddings on the fly for tracking and measuring node similarity over time in graph streams. Recently, several representation learning methods have been proposed that are capable of
Ferenc Béres, Domokos M. Kelen, Róbert Pálovics, András A. Benczúr   +3 more
doaj   +1 more source

Recent Advances in Positive-Instance Driven Graph Searching

Algorithms, 2022
Research on the similarity of a graph to being a tree—called the treewidth of the graph—has seen an enormous rise within the last decade, but a practically fast algorithm for this task has been discovered only recently by Tamaki (ESA 2017).
Max Bannach, Sebastian Berndt
doaj   +1 more source

Single‐molecule DNA flow‐stretch assays for high‐throughput DNA–protein interaction studies

FEBS Open Bio, EarlyView.
We describe an optimised single‐molecule DNA flow‐stretch assay that visualises DNA–protein interactions in real time. Linear DNA fragments are tethered to a surface and stretched by buffer flow for fluorescence imaging. Using λ and φX174 DNA, this protocol enhances reproducibility and accessibility, providing a versatile approach for studying diverse ...
Ayush Kumar Ganguli, Mohammad Nour Alsamsam, Ugnė Bagdonaitė, Van Truc Vu, Chun‐Jen Huang, Polina Kuzhir, Mindaugas Zaremba, Aurimas Kopūstas, Marijonas Tutkus   +8 more
wiley   +1 more source

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

FEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill, Yelyzaveta Pulnova, Elke De Zitter, Helen M. Ginn, Briony A. Yorke   +4 more
wiley   +1 more source