Search Results - subject:"Gene Expression"

Feature selection approach for evolving reactive scheduling policies for dynamic job shop scheduling problem using gene expression programming

Shady, Salama; Kaihara, Toshiya; Fujii, Nobutada; … - In: International journal of production research 61 (2023) 15, pp. 5029-5052

Persistent link: https://www.econbiz.de/10014381859

Causal discovery of gene regulation with incomplete data

Foraita, Ronja; Friemel, Juliane; Günther, Kathrin; … - In: Journal of the Royal Statistical Society: Series A … 183 (2020) 4, pp. 1747-1775

Causal discovery algorithms aim to identify causal relations from observational data and have become a popular tool for analysing genetic regulatory systems. In this work, we applied causal discovery to obtain novel insights into the genetic regulation underlying head-and-neck squamous cell...

Persistent link: https://www.econbiz.de/10012428705

Cancer data classification by quantum-inspired immune clone optimization-based optimal feature selection using gene expression data: deep learning approach

Eluri, Nageswara Rao; Kancharla, Gangadhara Rao; Dara, … - In: Data Technologies and Applications 56 (2021) 2, pp. 247-282

problems of cancer diagnosis are solved by the utilization of gene expression data. The researchers have been introducing many … extraction, (2) Optimal Feature Selection and (3) Classification”. Initially, five benchmark gene expression datasets are … collected. From the collected gene expression data, the feature extraction is performed. To diminish the length of the feature …

Persistent link: https://www.econbiz.de/10014712680

Bayesian Learning in Sparse Graphical Factor Models via Variational Mean-Field Annealing

West, Mike - 2010

and cancer gene expression data. …

Persistent link: https://www.econbiz.de/10009475411

Generating decision rules for flexible capacity expansion problem through gene expression programming

Hu, Junfei; Guo, Peng; Poh, K. L. - In: Computers & operations research : and their … 122 (2020), pp. 1-12

Persistent link: https://www.econbiz.de/10012271960

Visualisation and modelling of high-dimensional cancerous gene expression dataset

Bhola, Abhishek; Singh, Shailendra - In: Journal of information & knowledge management : JIKM 18 (2019) 1, pp. 1950001-1-1950001-22

Persistent link: https://www.econbiz.de/10012027113

Extracting priority rules for dynamic multi-objective flexible job shop scheduling problems using gene expression programming

Ozturk, Gurkan; Bahadir, Ozan; Teymourifar, Aydin - In: International journal of production research 57 (2019) 10, pp. 3121-3137

Persistent link: https://www.econbiz.de/10012193245

Forecasting volatility returns of oil price using gene expression programming approach

Amo Baffour, Alexander; Jingchun, Feng; Fan, Liwei; … - In: Journal of time series econometrics 11 (2019) 2, pp. 1-16

Persistent link: https://www.econbiz.de/10012022879

Regularized Regression Incorporating Network Information: Simultaneous Estimation of Covariate Coefficients and Connection Signs

Weber, Matthias; Schumacher, Martin; Binder, Harald - 2014

We develop an algorithm that incorporates network information into regression settings. It simultaneously estimates the covariate coefficients and the signs of the network connections (i.e. whether the connections are of an activating or of a repressing type). For the coefficient estimation...

Persistent link: https://www.econbiz.de/10010491316

Regularized Regression Incorporating Network Information: Simultaneous Estimation of Covariate Coefficients and Connection Signs

Weber, Matthias; Schumacher, Martin; Binder, Harald - Tinbergen Instituut - 2014

Persistent link: https://www.econbiz.de/10011257605