Results 1 to 10 of about 248,303 (301)

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

Unveiling the Significance of HLA and KIR Diversity in Underrepresented Populations

Biomedicines
Human leukocyte antigen (HLA) molecules and their relationships with natural killer (NK) cells, specifically through their interaction with killer-cell immunoglobulin-like receptors (KIRs), exhibit robust associations with the outcomes of diverse ...
Lucía Santiago-Lamelas, Patricia Castro-Santos, Ángel Carracedo, Jordi Olloquequi, Roberto Díaz-Peña   +4 more
doaj   +1 more source

Using Window Regression to Gap-Fill Landsat ETM+ Post SLC-Off Data

Remote Sensing, 2018
The continued development of algorithms using multitemporal Landsat data creates opportunities to develop and adapt imputation algorithms to improve the quality of that data as part of preprocessing.
Evan B. Brooks, Randolph H. Wynne, Valerie A. Thomas   +2 more
doaj   +1 more source

Using Visible Spectral Information to Predict Long-Wave Infrared Spectral Emissivity: A Case Study over the Sokolov Area of the Czech Republic with an Airborne Hyperspectral Scanner Sensor

Remote Sensing, 2013
Remote-sensing platforms are often comprised of a cluster of different spectral range detectors or sensors to benefit from the spectral identification capabilities of each range. Missing data from these platforms, caused by problematic weather conditions,
Gila Notesco, Eyal Ben-Dor, Simon Adar, Yoel Shkolnisky   +3 more
doaj   +1 more source

A new hybrid method for data analysis when a significant percentage of data is missing [PDF]

Journal of Hyperstructures
This article aims to compare the efficiency of different imputation methods with missing data. In this way we use mean, median, Expected-Maximization (EM), regression imputation(RI) and multiple imputations (MI) to replace missing data.In fact, we employ
Behrouz Fathi-Vajargah, Ahmad Nouraldin
doaj   +1 more source

SECONDGRAM: Self-conditioned diffusion with gradient manipulation for longitudinal MRI imputation

Patterns
Summary: While individual MRI snapshots provide valuable insights, the longitudinal progression in repeated MRIs often holds more significant diagnostic and prognostic value.
Brandon Theodorou, Anant Dadu, Mike Nalls, Faraz Faghri, Jimeng Sun   +4 more
doaj   +1 more source

Detection of Economic Crises With Language Models and Comparative Analysis of Simple Time Series Analysis Models and Machine Learning Algorithms on the Stock Market

IEEE Access
This study investigates the use of natural language processing language representation models as an early warning system for economic crises, and compares the performance of time series analysis and machine learning models in financial markets before and
Kurban Kotan, Bayram Kotan, Serdar Kirisoglu   +2 more
doaj   +1 more source