Results 1 to 10 of about 375,599 (291)

Improved Imputation of Common and Uncommon Single Nucleotide Polymorphisms (SNPs) with a New Reference Set [PDF]

, 2011
Statistical imputation of genotype data is an important technique for analysis of genome-wide association studies (GWAS). We have built a reference dataset to improve imputation accuracy for studies of individuals of primarily European descent using ...
Amy Hutchinson, Ann W. Hsing, Brian E. Henderson, Charles C. Chung, Christopher M. Haiman, Daniel Stram, Demetrius Albanes, Jarmo Virtamo, Jennifer L. Stone, Joshua Sampson, Kevin Jacobs, Lauren R. Teras, Margaret Tucker, Mark P. Purdue, Meredith Yeager, Michael A. Eberle, Nilanjan Chatterjee, Phil Taylor, Sonja I. Berndt, Stephen Chanock, Susan M. Gabstur, W. Ryan Diver, Xiang Deng, Zhaoming Wang   +23 more
core   +2 more sources

MissForest - nonparametric missing value imputation for mixed-type data

, 2011
Modern data acquisition based on high-throughput technology is often facing the problem of missing data. Algorithms commonly used in the analysis of such large-scale data often depend on a complete set.
D. J. Stekhoven, Harley, Kurgan, Latal, LITTLE, Oba, P. Buhlmann, Smit, Troyanskaya, van Buuren, Wille, Wu   +11 more
core   +1 more source

Odyssey: a semi-automated pipeline for phasing, imputation, and analysis of genome-wide genetic data [PDF]

, 2019
BACKGROUND: Genome imputation, admixture resolution and genome-wide association analyses are timely and computationally intensive processes with many composite and requisite steps.
Eller, Ryan J., Janga, Sarath C., Walsh, Susan   +2 more
core   +1 more source

Learning-Based Adaptive Imputation Methodwith kNN Algorithm for Missing Power Data

Energies, 2017
This paper proposes a learning-based adaptive imputation method (LAI) for imputing missing power data in an energy system. This method estimates the missing power data by using the pattern that appears in the collected data. Here, in order to capture the
Minkyung Kim, Sangdon Park, Joohyung Lee, Yongjae Joo, Jun Kyun Choi   +4 more
doaj   +1 more source

Data‐Driven Estimation of Groundwater Level Time‐Series at Unmonitored Sites Using Comparative Regional Analysis

Water Resources Research, 2023
A new method is presented to efficiently estimate daily groundwater level time series at unmonitored sites by linking groundwater dynamics to local hydrogeological system controls.
E. Haaf, M. Giese, T. Reimann, R. Barthel   +3 more
doaj   +1 more source

Integration of survey data and big observational data for finite population inference using mass imputation [PDF]

, 2018
Multiple data sources are becoming increasingly available for statistical analyses in the era of big data. As an important example in finite-population inference, we consider an imputation approach to combining a probability sample with big observational
Kim, Jae Kwang, Kim, Jae Kwang, Yang, Shu   +2 more
core   +3 more sources

A Survey on Multivariate Time Series Imputation Using Adversarial Learning

IEEE Access
Multivariate time series (MTS) are captured in a great variety of real-world applications. However, analysing and modeling the data for classification and forecasting purposes can become very challenging if values are missing in the data set.
Anna Richter, Jyotirmaya Ijaradar, Ulf Wetzker, Vineeta Jain, Andreas Frotzscher   +4 more
doaj   +1 more source

Imputation-Based Whole-Genome Sequence Association Study Reveals Constant and Novel Loci for Hematological Traits in a Large-Scale Swine F2 Resource Population

Frontiers in Genetics, 2018
The whole-genome sequences of progenies with low-density single-nucleotide polymorphism (SNP) genotypes can be imputed with high accuracy based on the deep-coverage sequences of key ancestors.
Guorong Yan, Tianfu Guo, Shijun Xiao, Feng Zhang, Wenshui Xin, Tao Huang, Wenwu Xu, Yiping Li, Zhiyan Zhang, Lusheng Huang   +9 more
doaj   +1 more source

Nearest neighbours in least-squares data imputation algorithms with different missing patterns [PDF]

, 2006
Methods for imputation of missing data in the so-called least-squares approximation approach, a non-parametric computationally efficient multidimensional technique, are experimentally compared.
Atkeson, Berry, Boris Mirkin, Davies, Dempster, Everrit, Gabriel, Golub, Grung, Heiser, Holter, Holzinger, Hunt, Ito Wasito, Jollife, Kamakashi, Kenney, Kiers, Krzanowski, Laaksonen, Little, Mirkin, Myrtveit, Roweis, Rubin, Rubin, Schafer, Shum, Tipping, Troyanskaya, Wold   +30 more
core   +1 more source

THE IMPUTABLE DEED / THE IMPUTABLE ACTION

Agora International Journal of Juridical Sciences, 2013
The criminal standards, meant to the protection of the social values, establish theobjectives and subjective conditions that must be fulfilled as a behavior to be illicit.Therefore, finding the illicit/the unlawful character of the behavior does not means that thiscan be already considered infringement of law, for the existence of the offense needful ...
openaire   +2 more sources