Results 61 to 70 of about 1,218,748 (261)
Comparative Analysis of Imputation Methods for Enhancing Predictive Accuracy in Data Models
JOIV: International Journal on Informatics VisualizationThe presence of missing values within datasets can introduce a detrimental bias, significantly impeding the predictive algorithm's ability to discern patterns and accurately execute prediction.
Nurul Aqilah Zamri +5 more
doaj +1 more source
Denoising Autoencoder-Based Missing Value Imputation for Smart Meters
IEEE Access, 2020 Electric load data are essential for data-driven approaches (including deep learning) in smart grid, and advanced smart meter technologies provide fine-grained data with reliable communications.
Seunghyoung Ryu +2 more
doaj +1 more source
FEBS Letters, EarlyView.Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi +5 more
wiley +1 more source
Missing value imputation for epistatic MAPs
BMC Bioinformatics, 2010 Background Epistatic miniarray profiling (E-MAPs) is a high-throughput approach capable of quantifying aggravating or alleviating genetic interactions between gene pairs.
Cagney Gerard +3 more
doaj +1 more source
Organoids in pediatric cancer research
FEBS Letters, EarlyView.Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley +1 more source
Integrative missing value estimation for microarray data
BMC Bioinformatics, 2006 Background Missing value estimation is an important preprocessing step in microarray analysis. Although several methods have been developed to solve this problem, their performance is unsatisfactory for datasets with high rates of missing data, high ...
Zhou Xianghong +3 more
doaj +1 more source
Reciprocal control of viral infection and phosphoinositide dynamics
FEBS Letters, EarlyView.Phosphoinositides, although scarce, regulate key cellular processes, including membrane dynamics and signaling. Viruses exploit these lipids to support their entry, replication, assembly, and egress. The central role of phosphoinositides in infection highlights phosphoinositide metabolism as a promising antiviral target.
Marie Déborah Bancilhon, Bruno Mesmin
wiley +1 more source
Innovation and Entrepreneurship: The Necessary Conditions of Value Creation
Expert Journal of Business and Management, 2017 The necessary conditions of value creation are considered from the vantage point of innovation and entrepreneurship. Both demand side (basic needs, customer perceived value, and customer satisfaction) and supply side (science, technology, and knowledge ...
Brian Barnard, Derrick HERBST
doaj
FEBS Letters, EarlyView.Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho +3 more
wiley +1 more source
Missing Values in Factorial Experiments [PDF]
Nature, 1956 METHODS of estimating missing values have been discussed by Goulden1. Some applications to factorial experiments were presented by Cochran and Cox2, but they do not give a general formula. If there is one replication of an a × b × c × … f factorial experiment, with n factors A, B, C, … F at a, b, c, … f different levels respectively, then it may be ...
openaire +2 more sources