Results 111 to 120 of about 911,029 (350)
Evolving artificial cell signaling networks using molecular classifier systems [PDF]
, 2006 Nature is a source of inspiration for computational techniques which have been successfully applied to a wide variety of complex application domains. In keeping with this we examine Cell Signaling Networks (CSN) which are chemical networks responsible ...
Decraene, James +2 more
core +1 more source
Molecular Oncology, EarlyView.Circulating tumor DNA (ctDNA) offers a possibility for different applications in early and late stage breast cancer management. In early breast cancer tumor informed approaches are increasingly used for detecting molecular residual disease (MRD) and early recurrence. In advanced stage, ctDNA provides a possibility for monitoring disease progression and
Eva Valentina Klocker +14 more
wiley +1 more source
Jixie chuandong, 2005 The method of rigid-body guidance synthesis of adjustable mechanisms for multiple alternation tasks based on evolutionary computation is proposed.The mechanism optimization model of multi-tasks is established,and the global optimization solution will be ...
杨志刚 +3 more
doaj
Interactive Evolutionary Computation for Analyzing Human Awareness Mechanisms
Applied Computational Intelligence and Soft Computing, 2012 We discuss the importance of establishing awareness science and show the idea of using interactive evolutionary computation (IEC) as a tool for analyzing awareness mechanism and making awareness models.
Hideyuki Takagi
doaj +1 more source
The Evolutionary Process of Image Transition in Conjunction with Box and Strip Mutation [PDF]
arXiv, 2016 Evolutionary algorithms have been used in many ways to generate digital art. We study how evolutionary processes are used for evolutionary art and present a new approach to the transition of images. Our main idea is to define evolutionary processes for digital image transition, combining different variants of mutation and evolutionary mechanisms.
arxiv
On the Approximation of Computing Evolutionary Trees [PDF]
, 2005 Given a set of leaf-labelled trees with identical leaf sets, the well-known MAST problem consists of finding a subtree homeomorphi- cally included in all input trees and with the largest number of leaves. MAST and its variant called MCT are of particular interest in computa- tional biology.
Berry, Vincent +3 more
openaire +3 more sources
Molecular Oncology, EarlyView.We quantified and cultured circulating tumor cells (CTCs) of 62 patients with various cancer types and generated CTC‐derived tumoroid models from two salivary gland cancer patients. Cellular liquid biopsy‐derived information enabled molecular genetic assessment of systemic disease heterogeneity and functional testing for therapy selection in both ...
Nataša Stojanović Gužvić +31 more
wiley +1 more source
Evolutionary Multi-Objective Membrane Algorithm
IEEE Access, 2020 Recent advances in evolutionary algorithms based on membrane computing have shown that the mechanism of membrane computing is an effective way to solve optimization problems. In this work, we propose a new evolutionary multi-objective algorithm that uses
Chuang Liu +3 more
doaj +1 more source
Evolutionary Image Transition Based on Theoretical Insights of Random Processes [PDF]
arXiv, 2016 Evolutionary algorithms have been widely studied from a theoretical perspective. In particular, the area of runtime analysis has contributed significantly to a theoretical understanding and provided insights into the working behaviour of these algorithms. We study how these insights into evolutionary processes can be used for evolutionary art.
arxiv
Molecular Oncology, EarlyView.The authors applied joint/mixed models that predict mortality of trifluridine/tipiracil‐treated metastatic colorectal cancer patients based on circulating tumor DNA (ctDNA) trajectories. Patients at high risk of death could be spared aggressive therapy with the prospect of a higher quality of life in their remaining lifetime, whereas patients with a ...
Matthias Unseld +7 more
wiley +1 more source