Results 61 to 70 of about 1,095,657 (311)
Multivariate Tests with Incomplete Data
The Annals of Statistics, 1983 In the context of a normal model, testing problems with missing data are considered. Tests on means are treated when independent extra data on the first $p_1$ variates of $p$ variates is available in addition to complete data. For testing that the mean of the first $p_1$ variates is zero, the LRT is UMP invariant, but for testing that the whole mean is
Eaton, Morris, Kariya, Takeaki
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FEBS Letters, EarlyView.Plasma membranes contain dynamic nanoscale domains that organize lipids and receptors. Because viruses operate at similar scales, this architecture shapes early infection steps, including attachment, receptor engagement, and entry. Using influenza A virus and HIV‐1 as examples, we highlight how receptor nanoclusters, multivalent glycan interactions ...
Jan Schlegel, Christian Sieben
wiley +1 more source
Regression SVM for Incomplete Data
Schedae Informaticae, 2017 The use of machine learning methods in the case of incomplete data is an important task in many scientific fields, like medicine, biology, or face recognition. Typically, missing values are substituted with artificial values that are estimated from the known samples, and the classical machine learning algorithms are applied.
Struski, Łukasz +3 more
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Data for: Comparative Feedbacks under Incomplete Information
, 2018 Data for the paper "comparative feedbacks under incomplete information"THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE.
Astier, N (via Mendeley Data)
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FEBS Letters, EarlyView.Embryo‐like structures (stembryos) are an innovative tool, but they are hindered by experimental variability and limited developmental potential. DNA methylation is crucial for mammalian development, but its status in stembryo models is poorly characterized.
Sara Canil +4 more
wiley +1 more source
A Deep Similarity Metric Method Based on Incomplete Data for Traffic Anomaly Detection in IoT
Applied Sciences, 2019 In recent years, with the development of the Internet of Things (IoT) technology, a large amount of data can be captured from sensors for real-time analysis.
Xu Kang, Bin Song, Fengyao Sun
doaj +1 more source
Methods to Handle Incomplete Data
MAMC Journal of Medical Sciences, 2020 Context: The major question for data analysis is determining the appropriate analytic approach in the presence of incomplete observations. The most common solution to handle missing data in a data set is imputation, where missing values are estimated and
Vinny Johny +2 more
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FEBS Letters, EarlyView.Ascidian Ciona larvae initially show strong clockwise tail twisting, which is largely corrected during development. However, a small residual twist remains. This study shows that organized helical myofibrils in tail muscles mechanically stabilize this residual asymmetry, preventing complete restoration of bilateral symmetry and revealing how embryos ...
Yuki S. Kogure +3 more
wiley +1 more source
Handling Incomplete Data Classification Using Imputed Feature Selected Bagging (IFBAG) Method
, 2021 Alquhayz, Hani/0000-0001-8445-7742; Raza, Basit/0000-0001-6711-2363; Khan, Ahmad/0000-0002-6955-8876; Phd, Muhammad Faheem,/0000-0003-4628-4486;Almost all real-world datasets contain missing values.
Khan, Ahmad Jaffar +5 more
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The human gut microbiome across the life course
FEBS Letters, EarlyView.Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero +4 more
wiley +1 more source