Search Results - Measurement Keywords Genetic Programming

Food intake biomarkers for green leafy vegetables, bulb vegetables, and stem vegetables: a review by Brouwer-Brolsma, Elske M., Brandl, Beate, Buso, Marion E. C., Skurk, Thomas, Manach, Claudine

“… However, current methods to estimate vegetable intake are often prone to measurement errors due to self-reporting and/or insufficient detail…”
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Short-term impacts of embryonic thermal manipulation in mule duck, a kinetic study: new tools for metabolic programming by Andrieux, C., Biasutti, S., Zwick, LL, Marchand, M., Panserat, S., Houssier, M.

“…Background Temperature changes during embryogenesis, through a process called embryonic thermal programming, can modify the long-term thermotolerance of broilers or the hepatic metabolism of mule ducks…”
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MaveDB: an open-source platform to distribute and interpret data from multiplexed assays of variant effect by Esposito, Daniel, Weile, Jochen, Shendure, Jay, Starita, Lea M., Papenfuss, Anthony T., Roth, Frederick P., Fowler, Douglas M., Rubin, Alan F.

“… Here, we present MaveDB ( https://www.mavedb.org ), a public repository for large-scale measurements of sequence variant impact, designed for interoperability with applications to interpret these datasets…”
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Estimation of Distribution Algorithms with Fuzzy Sampling for Stochastic Programming Problems by Hedar, Abdel-Rahman, Allam, Amira A., Fahim, Alaa

“…Generating practical methods for simulation-based optimization has attracted a great deal of attention recently. In this paper, the estimation of distribution…”
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Applied Machine Learning

“…This reprint focuses on applications of machine learning models in a diverse range of fields and problems. It reports substantive results on a wide range of…”
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Identifying driver pathways based on a parameter-free model and a partheno-genetic algorithm by Wu, Jingli, Nie, Qinghua, Li, Gaoshi, Zhu, Kai

“…) network, is proposed. A novel measurement of mutual exclusivity is devised to exclude some gene sets with "inclusion" relationship…”
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Harnessing technology and molecular analysis to understand the development of cardiovascular diseases in Asia: a prospective cohort study (SingHEART) by Yap, Jonathan, Lim, Weng Khong, Sahlén, Anders, Chin, Calvin Woon-Loong, Chew, Kenneth Michael Yun-Chi, Davila, Sonia, Allen, John, Goh, Vera, Tan, Swee Yaw, Tan, Patrick, Lam, Carolyn S. P., Cook, Stuart Alexander, Yeo, Khung Keong

“…Background Cardiovascular disease (CVD) imposes much mortality and morbidity worldwide. The use of “deep learning”, advancements in genomics, metabolomics,…”
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Fetal growth restriction promotes physical inactivity and obesity in female mice by Baker, M S, Li, G, Kohorst, J J, Waterland, R A

“…Background: Environmental exposures during critical periods of prenatal and early postnatal life affect the development of mammalian body weight regulatory…”
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Maternal nutrient restriction in mid-to-late gestation influences fetal mRNA expression in muscle tissues in beef cattle by Paradis, Francois, Wood, Katie M., Swanson, Kendall C., Miller, Stephen P., McBride, Brian W., Fitzsimmons, Carolyn

“…Background Manipulating maternal nutrition during specific periods of gestation can result in re-programming of fetal and post-natal development…”
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Epigenetics of prenatal stress in humans: the current research landscape by Dieckmann, Linda, Czamara, Darina

“… Future studies should focus on refined measurement and definition of prenatal stress and its timing, ideally also incorporating genomic as well as longitudinal information…”
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AMEND 2.0: module identification and multi-omic data integration with multiplex-heterogeneous graphs by Boyd, Samuel S., Slawson, Chad, Thompson, Jeffrey A.

“…Background Multi-omic studies provide comprehensive insight into biological systems by evaluating cellular changes between normal and pathological conditions at multiple levels of measurement…”
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GraphKM: machine and deep learning for KM prediction of wildtype and mutant enzymes by He, Xiao, Yan, Ming

“… As overwhelming experimental measurements of K M are difficult and time-consuming, prediction of the K M values from machine and deep learning models would increase the pace of the enzymes kinetics studies…”
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stochprofML: stochastic profiling using maximum likelihood estimation in R by Amrhein, Lisa, Fuchs, Christiane

“… Conclusion Stochastic profiling outweighs the necessary demixing of mixed samples with a saving in experimental cost and effort and less measurement error…”
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CeNet Omnibus: an R/Shiny application to the construction and analysis of competing endogenous RNA network by Wen, Xiao, Gao, Lin, Song, Tuo, Jiang, Chaoqun

“… CeNet Omnibus enables users to select multiple measurements, such as Pearson correlation coefficient…”
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Maternal glycemia in pregnancy is longitudinally associated with blood DNAm variation at the FSD1L gene from birth to 5 years of age by Taschereau, Amélie, Thibeault, Kathrine, Allard, Catherine, Juvinao-Quintero, Diana, Perron, Patrice, Lutz, Sharon M., Bouchard, Luigi, Hivert, Marie-France

“…Background In utero exposure to maternal hyperglycemia has been associated with an increased risk for the development of chronic diseases in later life. These…”
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Established maternal obesity in the rat reprograms hypothalamic appetite regulators and leptin signaling at birth by Morris, M.J, Chen, H

“…Objective: Key appetite regulators and their receptors are already present in the fetal hypothalamus, and may respond to hormones such as leptin. Intrauterine…”
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Explainable machine learning methods and respiratory oscillometry for the diagnosis of respiratory abnormalities in sarcoidosis by de Lima, Allan Danilo, Lopes, Agnaldo J., do Amaral, Jorge Luis Machado, de Melo, Pedro Lopes

“… and explainability, so we used Genetic Programming since the classification is made with intelligible…”
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Data File Standard for Flow Cytometry, Version FCS 3.2 by Spidlen, Josef, Moore, Wayne, Parks, David, Goldberg, Michael, Blenman, Kim, Cavenaugh, James S., Brinkman, Ryan

“…FCS 3.2 is a revision of the flow cytometry data standard based on a decade of suggested improvements from the community as well as industry needs to capture instrument conditions and measurement features more precisely…”
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The fetal origins of metabolic health: exploring the association between newborn biological age and metabolism hormones in childhood by Jia, Zhenxian, Qiu, Feng, He, Yujie, Chen, Huan, Yang, Chenhui, Liu, Hongxiu, Zheng, Tongzhang, Xu, Shunqing, Wang, Shiqiong, Li, Yuanyuan

“…Background Telomere length (TL), mitochondrial DNA copy number (mtDNAcn), and DNA methylation age (DNAmAge) are common aging biomarkers. However, research on…”
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BayesTwin: An R Package for Bayesian Inference of Item-Level Twin Data by Schwabe, Inga

“… Simultaneously to the biometric model, an item response theory (IRT) measurement model is estimated, allowing analysis of the raw phenotypic (item-level) data…”
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