Results 51 to 60 of about 290,361 (291)

Multiple Imputation Using Gaussian Copulas [PDF]

, 2018
Missing observations are pervasive throughout empirical research, especially in the social sciences. Despite multiple approaches to dealing adequately with missing data, many scholars still fail to address this vital issue.
Bojinov, Iavor, Hollenbach, Florian M., Metternich, Nils W., Minhas, Shahryar, Minhas, Shahryar, Volfovsky, Alexander, Ward, Michael D.   +6 more
core   +1 more source

Imputation of truncated p-values for meta-analysis methods and its genomic application

, 2014
Microarray analysis to monitor expression activities in thousands of genes simultaneously has become routine in biomedical research during the past decade.
Ding, Ying, Lariviere, William R., Mogil, Jeffrey S., Sibille, Etienne, Tang, Shaowu, Tseng, George C.   +5 more
core   +1 more source

Cell surface interactome analysis identifies TSPAN4 as a negative regulator of PD‐L1 in melanoma

Molecular Oncology, EarlyView.
Using cell surface proximity biotinylation, we identified tetraspanin TSPAN4 within the PD‐L1 interactome of melanoma cells. TSPAN4 negatively regulates PD‐L1 expression and lateral mobility by limiting its interaction with CMTM6 and promoting PD‐L1 degradation.
Guus A. Franken, Andrea Abel Gutierrez, Imke van Rossum, Cornelia G. Spruijt, Michiel Vermeulen, Guido van Mierlo, Blanca Scheijen, Annemiek B. van Spriel   +7 more
wiley   +1 more source

Biplot visualisations of the differences between multiple imputation techniques for simulated categorical data

Discover Data
Proper handling of missing data is a necessity for all data driven research. Multiple imputation is considered as a superior approach to handle missing data.
Johané Nienkemper-Swanepoel
doaj   +1 more source

Multiple imputation for estimation of an occurrence rate in cohorts with attrition and discrete follow-up time points: a simulation study

BMC Medical Research Methodology, 2010
Background In longitudinal cohort studies, subjects may be lost to follow-up at any time during the study. This leads to attrition and thus to a risk of inaccurate and biased estimations.
Soullier Noémie, de La Rochebrochard Elise, Bouyer Jean   +2 more
doaj   +1 more source

A comprehensive evaluation of factors affecting the accuracy of pig genotype imputation using a single or multi-breed reference population

Journal of Integrative Agriculture, 2022
Genotype imputation has become an indispensable part of genomic data analysis. In recent years, imputation based on a multi-breed reference population has received more attention, but the relevant studies are scarce in pigs.
Kai-li ZHANG, Xia PENG, Sai-xian ZHANG, Hui-wen ZHAN, Jia-hui LU, Sheng-song XIE, Shu-hong ZHAO, Xin-yun LI, Yun-long MA   +8 more
doaj   +1 more source

Infrared laser sampling of low volumes combined with shotgun lipidomics reveals lipid markers in palatine tonsil carcinoma

Molecular Oncology, EarlyView.
Nanosecond infrared laser (NIRL) low‐volume sampling combined with shotgun lipidomics uncovers distinct lipidome alterations in oropharyngeal squamous cell carcinoma (OPSCC) of the palatine tonsil. Several lipid species consistently differentiate tumor from healthy tissue, highlighting their potential as diagnostic markers.
Leonard Kerkhoff, Manuela Moritz, Dennis Eggert, Anna Worthmann, Joerg Heeren, Henrike Zech, Till S. Clauditz, Waldemar Wilczak, Hartmut Schlüter, Christian S. Betz, Arne Böttcher, Jan Hahn   +11 more
wiley   +1 more source

Evaluation of Odor Prediction Model Performance and Variable Importance according to Various Missing Imputation Methods

Applied Sciences, 2022
The aim of this study is to ascertain the most suitable model for predicting complex odors using odor substance data that has a small number of data and a large number of missing data.
Do-Hyun Lee, Saem-Ee Woo, Min-Woong Jung, Tae-Young Heo   +3 more
doaj   +1 more source

Identification of serum protein biomarkers for pre‐cancerous lesions associated with pancreatic ductal adenocarcinoma

Molecular Oncology, EarlyView.
This work identified serum proteins associated with pancreatic epithelial neoplasms (PanINs) and early‐stage PDAC. Proteomics screens assessed genetically engineered mice with abundant PanINs, KPC mice (Lox‐STOP‐Lox‐KrasG12D/+ Lox‐STOP‐Lox‐Trp53R172H/+ Pdx1‐Cre) before PDAC development and also early‐stage PDAC patients (n = 31), compared to benign ...
Hannah Mearns, Jaclyn S. Long, Sergio Lilla, Kelly Hodge, Marcus J. G. W. Ladds, Colin Nixon, Paula Fernández‐Palanca, Sara Zanivan, Pilar Acedo, Stephen P. Pereira, Kevin M. Ryan   +10 more
wiley   +1 more source

SICE: an improved missing data imputation technique

Journal of Big Data, 2020
In data analytics, missing data is a factor that degrades performance. Incorrect imputation of missing values could lead to a wrong prediction. In this era of big data, when a massive volume of data is generated in every second, and utilization of these ...
Shahidul Islam Khan, Abu Sayed Md Latiful Hoque   +1 more
doaj   +1 more source