Results 31 to 40 of about 175,878 (142)

The Challenges of Chromosome Y Analysis and the Implications for Chronic Kidney Disease

Frontiers in Genetics, 2019
The role of chromosome Y in chronic kidney disease (CKD) remains unknown, as chromosome Y is typically excluded from genetic analysis in CKD. The complex, sex-specific presentation of CKD could be influenced by chromosome Y genetic variation, but there ...
Kerry Anderson, Marisa Cañadas-Garre, Robyn Chambers, Alexander Peter Maxwell, Alexander Peter Maxwell, Amy Jayne McKnight   +5 more
doaj   +1 more source

Decoding the diversity of killer immunoglobulin-like receptors by deep sequencing and a high-resolution imputation method

Cell Genomics, 2022
Summary: The killer cell immunoglobulin-like receptor (KIR) recognizes human leukocyte antigen (HLA) class I molecules and modulates the function of natural killer cells.
Saori Sakaue, Kazuyoshi Hosomichi, Jun Hirata, Hirofumi Nakaoka, Keiko Yamazaki, Makoto Yawata, Nobuyo Yawata, Tatsuhiko Naito, Junji Umeno, Takaaki Kawaguchi, Toshiyuki Matsui, Satoshi Motoya, Yasuo Suzuki, Hidetoshi Inoko, Atsushi Tajima, Takayuki Morisaki, Koichi Matsuda, Yoichiro Kamatani, Kazuhiko Yamamoto, Ituro Inoue, Yukinori Okada   +20 more
doaj   +1 more source

Imputation of missing genotypes: an empirical evaluation of IMPUTE [PDF]

BMC Genetics, 2008
Abstract Background Imputation of missing genotypes is becoming a very popular solution for synchronizing genotype data collected with different microarray platforms but the effect of ethnic background, subject ascertainment, and amount of missing data on the accuracy of imputation are not well understood.
Zhao, Zhenming, Timofeev, Nadia, Hartley, Stephen W., Chui, David H.K., Fucharoen, Supan, Perls, Thomas T., Steinberg, Martin H., Baldwin, Clinton T., Sebastiani, Paola   +8 more
openaire   +4 more sources

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

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

Multimodal Imputation-Based Multimodal Autoencoder Framework for AQI Classification and Prediction of Indian Cities

IEEE Access
Rising urbanization necessitates robust air quality monitoring and prediction systems, particularly in developing nations like India, to mitigate adverse health impacts.
Routhu Srinivasa Rao, Lakshmana Rao Kalabarige, M. Raviraja Holla, Aditya Kumar Sahu   +3 more
doaj   +1 more source

Diffusion on PCA-UMAP Manifold: The Impact of Data Structure Preservation to Denoise High-Dimensional Single-Cell RNA Sequencing Data

Biology
Single-cell transcriptomics (scRNA-seq) is revolutionizing biological research, yet it faces challenges such as inefficient transcript capture and noise. To address these challenges, methods like neighbor averaging or graph diffusion are used.
Padron-Manrique Cristian, Vázquez-Jiménez Aarón, Esquivel-Hernandez Diego Armando, Martinez-Lopez Yoscelina Estrella, Neri-Rosario Daniel, Giron-Villalobos David, Mixcoha Edgar, Sánchez-Castañeda Jean Paul, Resendis-Antonio Osbaldo   +8 more
doaj   +1 more source

A Comprehensive Bibliometric Analysis of Missing Value Imputation

IEEE Access
Data quality plays a crucial role in tasks, such as enhancing the accuracy of data analytics and avoiding the accumulation of redundant data. One of the significant challenges in data quality is dealing with missing data, which has been extensively ...
Heru Nugroho, Kridanto Surendro
doaj   +1 more source