Results 81 to 90 of about 8,428,042 (339)
Molecular Oncology, EarlyView.In molecular cancer diagnostics, comprehensive genomic profiling (CGP) is going to replace the small NGS panels since it provides all clinically relevant somatic variants as well as genomic biomarkers with clinical value. Here, we compared two CGP assays and demonstrate that the choice for diagnostic implementation will depend on the specific ...
Guy Froyen +17 more
wiley +1 more source
Variations of Genetic Algorithms [PDF]
arXiv, 2019 The goal of this project is to develop the Genetic Algorithms (GA) for solving the Schaffer F6 function in fewer than 4000 function evaluations on a total of 30 runs. Four types of Genetic Algorithms (GA) are presented - Generational GA (GGA), Steady-State (mu+1)-GA (SSGA), Steady-Generational (mu,mu)-GA (SGGA), and (mu+mu)-GA.
arxiv
When Hillclimbers Beat Genetic Algorithms in Multimodal Optimization
, 2015 It has been shown in the past that a multistart hillclimbing strategy compares favourably to a standard genetic algorithm with respect to solving instances of the multimodal problem generator.
Bazargani, Mosab, Lobo, Fernando G.
core +1 more source
Molecular and functional profiling unravels targetable vulnerabilities in colorectal cancer
Molecular Oncology, EarlyView.We used whole exome and RNA‐sequencing to profile divergent genomic and transcriptomic landscapes of microsatellite stable (MSS) and microsatellite instable (MSI) colorectal cancer. Alterations were classified using a computational score for integrative cancer variant annotation and prioritization.
Efstathios‐Iason Vlachavas +15 more
wiley +1 more source
Jurnal Teknik Industri, 2007 This paper discusses the application of Robust Hybrid Genetic Algorithm to solve a flow-shop scheduling problem. The proposed algorithm attempted to reach minimum makespan. PT.
Johan Soewanda +2 more
doaj
GemTools: A fast and efficient approach to estimating genetic ancestry [PDF]
arXiv, 2011 To uncover the genetic basis of complex disease, individuals are often measured at a large number of genetic variants (usually SNPs) across the genome. GemTools provides computationally efficient tools for modeling genetic ancestry based on SNP genotypes.
arxiv
Optimal Portfolio Using a Genetic Algorithm [PDF]
, 2016 Distributing the amount of money to invest in each stock of a portfolio, while maximizing profit and minimizing risk is key. This project applied the method of a genetic algorithm in order to select an optimal portfolio.
Reyes, Hector
core +1 more source
Scaling accurate genetic variant discovery to tens of thousands of samples
bioRxiv, 2017 Comprehensive disease gene discovery in both common and rare diseases will require the efficient and accurate detection of all classes of genetic variation across tens to hundreds of thousands of human samples.
R. Poplin +19 more
semanticscholar +1 more source
Molecular Oncology, EarlyView.Cancer stem cells are associated with aggressive disease, but a deep characterization of such markers is lacking in endometrial cancer. This study uses imaging mass cytometry to explore putative cancer stem cell markers in endometrial tumors and corresponding organoid models.
Hilde E. Lien +7 more
wiley +1 more source
Analysis of usage of genetic and tabu search algorithms in shop scheduling
Lietuvos Matematikos Rinkinys, 2008 A wide area of scheduling problem is industrial so-called shop scheduling (Job Shop, Flow Shop and Open Shop) which has important applications in real world industrial problems.
Edgaras Šakurovas +1 more
doaj +1 more source