Results 31 to 40 of about 411,688 (293)
Hybridation of Bayesian networks and evolutionary algorithms for multi-objective optimization in an integrated product design and project management context [PDF]
, 2010 A better integration of preliminary product design and project management processes at early steps of system design is nowadays a key industrial issue.
Baron, Claude +3 more
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BMC Bioinformatics, 2023 Cancer prediction in the early stage is a topic of major interest in medicine since it allows accurate and efficient actions for successful medical treatments of cancer.
Rajul Mahto +7 more
doaj +1 more source
An efficient randomised sphere cover classifier [PDF]
, 2012 This paper describes an efficient randomised sphere cover classifier(aRSC), that reduces the training data set size without loss of accuracy when compared to nearest neighbour classifiers.
Bagnall, A, Younsi, R
core +1 more source
Computation of significance scores of unweighted Gene Set Enrichment Analyses
BMC Bioinformatics, 2007 Background Gene Set Enrichment Analysis (GSEA) is a computational method for the statistical evaluation of sorted lists of genes or proteins. Originally GSEA was developed for interpreting microarray gene expression data, but it can be applied to any ...
Lenhof Hans-Peter +2 more
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BMC Medical Informatics and Decision Making, 2021 Background Gene expression data play an important role in bioinformatics applications. Although there may be a large number of features in such data, they mainly tend to contain only a few samples.
Saeid Azadifar, Ali Ahmadi
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Evolving concurrent Petri net models of epistasis [PDF]
, 2010 A genetic algorithm is used to learn a non-deterministic Petri netbased model of non-linear gene interactions, or statistical epistasis. Petri nets are computational models of concurrent processes.
Beretta, Lorenzo, Mayo, Michael
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A novel hybrid algorithm based on Harris Hawks for tumor feature gene selection [PDF]
PeerJ Computer Science, 2023 Background Gene expression data are often used to classify cancer genes. In such high-dimensional datasets, however, only a few feature genes are closely related to tumors.
Junjian Liu +6 more
doaj +2 more sources
A Method for the Perceptual Optimization of Complex Visualizations [PDF]
, 2002 A common problem in visualization applications is the display of one surface overlying another. Unfortunately, it is extremely difficult to do this clearly and effectively.
House, Donald H, Ware, Colin
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BMC Bioinformatics, 2008 Background The previous studies of genome-wide expression patterns show that a certain percentage of genes are cell cycle regulated. The expression data has been analyzed in a number of different ways to identify cell cycle dependent genes. In this study,
Tcha Hong, Bae Cheol, Kim Chang
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BMC Cancer, 2022 Background In this study, we performed a molecular evaluation of primary pancreatic adenocarcinoma (PAAD) based on the comprehensive analysis of energy metabolism-related gene (EMRG) expression profiles.
Cong Tan +10 more
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