Results 31 to 40 of about 131,123 (260)

Missing Categorical Data Imputation and Individual Observation Level Imputation

Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2014
Traditional missing data techniques of imputation schemes focus on prediction of the missing value based on other observed values. In the case of continuous missing data the imputation of missing values often focuses on regression models.
Pavel Zimmermann, Petr Mazouch, Klára Hulíková Tesárková   +2 more
doaj   +1 more source

CBRG: A Novel Algorithm for Handling Missing Data Using Bayesian Ridge Regression and Feature Selection Based on Gain Ratio

IEEE Access, 2020
Existing imputation methods may lead to biased predictions and decrease or increase the statistical influence which leads to improper estimations. Several missing value imputation approaches performance depends on the size of the dataset and the number ...
Samih M. Mostafa, Abdelrahman S. Eladimy, Safwat Hamad, Hirofumi Amano   +3 more
doaj   +1 more source

Imputation of missing data in time series by different computation methods in various data set applications [PDF]

ITM Web of Conferences, 2020
In a modern technology generation, big volumes of data are evolved under numerous operations compared to an earlier era. However, collection of data without missing single value, is a great challenge ahead. In practice, there are many solutions suggested
Magare Dhiraj, Labde Sushil, Gofane Manoj, Vyawahare Vishwesh   +3 more
doaj   +1 more source

Optimizing imputation strategies for mass spectrometry-based proteomics considering intensity and missing value rates

Computational and Structural Biotechnology Journal
Missing values (MVs) in omic datasets affect the power, accuracy, and consistency of statistical and functional analyses. In mass spectrometry (MS)-based proteomics, MVs can arise due to several reasons: peptides could be below instrumental detection ...
Yuming Shi, Huan Zhong, Jason C. Rogalski, Leonard J. Foster   +3 more
doaj   +1 more source

Missing Value Imputation for RNA-Sequencing Data Using Statistical Models: A Comparative Study [PDF]

Journal of Statistical Theory and Applications (JSTA), 2016
RNA-seq technology has been widely used as an alternative approach to traditional microarrays in transcript analysis. Sometimes gene expression by sequencing, which generates RNA-seq data set, may have missing read counts.
Taban Baghfalaki, Mojtaba Ganjali, Damon Berridge   +2 more
doaj   +1 more source

Psychosocial Functioning After Pediatric Bone Sarcoma: Generic and Survivor‐Specific Outcomes in Adolescent and Young Adult Patients

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Pediatric bone sarcoma patients and survivors may experience psychosocial challenges related to childhood cancer after their intensive, body‐altering treatment. This cross‐sectional study aimed to evaluate generic and survivor‐specific psychosocial outcomes in a national cohort of pediatric bone sarcoma patients and survivors, and ...
Hinke van der Hoek, Heleen Maurice‐Stam, Laura R. Beek, Jennifer van Dijk, Marjolein E. M. Langemeijer, Relinde W. Slooff‐Lentink, Alied M. van der Aa‐van Delden, Anne Westerweel, Marloes van Gorp, Hendrik W. B. Schreuder, Lianne M. Haveman, W. Peter Bekkering, Leonie G. Tigelaar, Johannes H. M. Merks, Martha A. Grootenhuis   +14 more
wiley   +1 more source

One-sample missing DNA-methylation value imputation

BMC Bioinformatics
Background Currently, the most popular methods for missing DNA-methylation value imputation rely on exploiting methylation patterns across multiple samples from the same population.
Christelle Kemda Ngueda, Julia Palm, Flavia Remo, André Scherag, Lutz Leistritz   +4 more
doaj   +1 more source

Association Between Dinutuximab Beta Exposure and Post‐End‐of‐Treatment Survival in Neuroblastoma: A Weighted Patient‐Level Analysis of Three Clinical Studies

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objectives The association between exposure to dinutuximab beta (DB) and event‐free survival (EFS) or overall survival (OS) of neuroblastoma patients was assessed using data collected during three clinical trials (five cohorts). Methods A systematic review (March 2026) was conducted to identify relevant studies (prospective; registered DB ...
Przemysław Holko, Holger N. Lode, Alberto Garaventa, Carla Manzitti, Roberto Luksch, Dominique Valteau‐Couanet, Marion Gambart, John Anderson, Juliet Gray, Adela Canete, Lucas Moreno, Aleksandra Wieczorek, Cormac Owens, Shifra Ash, Isaac Yaniv, Genevieve Laureys, Hans Loibner, Katarzyna Śladowska, Ruth Ladenstein, Paweł Kawalec   +19 more
wiley   +1 more source

A custom build multidimensional medical combined imputation application for a transplantation dataset

Computer Methods and Programs in Biomedicine Update, 2022
Background and Objectives: Data science methods have grown to solve complex medical problems. Data records utilized are often incomplete. Within this study we developed and validated a novel multidimensional medical combined imputation (MMCI) application
Nikolaus Börner, Markus B. Schoenberg, Philipp Pöschke, Benedikt Pöllmann, Dominik Koch, Moritz Drefs, Dionysios Koliogiannis, Christian Böhm, Jens Werner, Markus Guba   +9 more
doaj   +1 more source

Admixture Mapping Reveals Candidate Regions for Methotrexate Neurotoxicity Susceptibility: A Reducing Disparities in Acute Leukemia Consortium Report

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Neurotoxicity is a rare, often dose‐limiting adverse effect of methotrexate (MTX) therapy that disproportionally affects Latino children. Factors contributing to the observed disparity are not well understood. This study leveraged admixture mapping to identify genetic regions associated with MTX‐related neurotoxicity susceptibility ...
Rachel D. Harris, Priya B. Shetty, Olga A. Taylor, Elizabeth G. Atkinson, Melissa A. Richard, M. Monica Gramatges, Mark Zobeck, Sandi Pruitt, Amy Hughes, M. Brooke Bernhardt, Ashley Chavana, Van Huynh, Kathleen Ludwig, Laura Klesse, Kenneth Heym, Timothy Griffin, Rodrigo Erana, Juan Carlos Bernini, Han Chen, Bing Yu, Philip J. Lupo, Karen R. Rabin, Michael E. Scheurer, Austin L. Brown, The REDIAL Consortium   +24 more
wiley   +1 more source