Results 61 to 70 of about 6,017,267 (341)
Decrypting cancer's spatial code: from single cells to tissue niches
Molecular Oncology, EarlyView.Spatial transcriptomics maps gene activity across tissues, offering powerful insights into how cancer cells are organised, switch states and interact with their surroundings. This review outlines emerging computational, artificial intelligence (AI) and geospatial approaches to define cell states, uncover tumour niches and integrate spatial data with ...
Cenk Celik +4 more
wiley +1 more source
Applied Sciences, 2018 The friction interference in the pneumatic rotary actuator is the primary factor affecting the position accuracy of a pneumatic rotary actuator servo system.
Ke Li +3 more
doaj +1 more source
Classification Based on Brain Storm Optimization With Feature Selection
IEEE Access, 2021 Classification is one of the most classic problems in machine learning. Due to the global optimization ability, evolutionary computation (EC) techniques have been successfully applied to solve many problems and the evolutionary classification model is ...
Yu Xue, Yan Zhao, Adam Slowik
doaj +1 more source
Aggressive prostate cancer is associated with pericyte dysfunction
Molecular Oncology, EarlyView.Tumor‐produced TGF‐β drives pericyte dysfunction in prostate cancer. This dysfunction is characterized by downregulation of some canonical pericyte markers (i.e., DES, CSPG4, and ACTA2) while maintaining the expression of others (i.e., PDGFRB, NOTCH3, and RGS5).
Anabel Martinez‐Romero +11 more
wiley +1 more source
An efficient memetic, permutation-based evolutionary algorithm for real-world train timetabling [PDF]
, 2005 Train timetabling is a difficult and very tightly constrained combinatorial problem that deals with the construction of train schedules. We focus on the particular problem of local reconstruction of the schedule following a small perturbation, seeking ...
Schoenauer, Marc, Semet, Yann
core +2 more sources
Molecular Oncology, EarlyView.Detection of extrachromosomal circular DNA (eccDNA) in plasma samples from EGFR‐mutated non‐small cell lung cancer patients. Plasma was collected before and during treatment with the EGFR‐tyrosine kinase inhibitor osimertinib. Plasma eccDNA was detected in all cancer samples, and the presence of the EGFR gene on eccDNA serves as a potential biomarker ...
Simone Stensgaard +5 more
wiley +1 more source
MEAMVC: A Membrane Evolutionary Algorithm for Solving Minimum Vertex Cover Problem
IEEE Access, 2019 Since the membrane algorithm was proposed, it has been used for many optimization problems such as, traveling salesman problem, the knapsack problem, and so on. In membrane algorithms, the membranes have two functions: container and comparator.
Ping Guo, Changsheng Quan, Haizhu Chen
doaj +1 more source
Image Noise Elimination Using Evolutionary Algorithm [PDF]
Engineering and Technology Journal, 2005 Evolutionary algorithms like Genetic Algorithms ( GA ) and Genetic programming ( GP ) are domain - independent problem solving approaches in which computer programs are evolved to solve , or approximately solve , problems .
Matheel Abdulmunim
doaj +1 more source
Complex System Modeling and Simulation, 2023 Portfolio optimization is a classical and important problem in the field of asset management, which aims to achieve a trade-off between profit and risk.
Feng Wang, Zilu Huang, Shuwen Wang
doaj +1 more source
Molecular Oncology, EarlyView.HDAC4 is degraded by the E3 ligase FBXW7. In colorectal cancer, FBXW7 mutations prevent HDAC4 degradation, leading to oxaliplatin resistance. Forced degradation of HDAC4 using a PROTAC compound restores drug sensitivity by resetting the super‐enhancer landscape, reprogramming the epigenetic state of FBXW7‐mutated cells to resemble oxaliplatin ...
Vanessa Tolotto +13 more
wiley +1 more source