Missing Value Monitoring to Address Missing Values in Quantitative Proteomics.
Sign Up to like & getrecommendations! Published in 2021 at "Methods in molecular biology"
DOI: 10.1007/978-1-0716-1024-4_27
Abstract: Many classes of key functional proteins such as transcription factors or cell cycle proteins are present in the proteome at a very low concentration. These low-abundance proteins are almost entirely invisible to systematic quantitative analysis… read more here.
Keywords: missing values; value monitoring; monitoring address; missing value ... See more keywords
A data-driven missing value imputation approach for longitudinal datasets
Sign Up to like & getrecommendations! Published in 2021 at "Artificial Intelligence Review"
DOI: 10.1007/s10462-021-09963-5
Abstract: Longitudinal datasets of human ageing studies usually have a high volume of missing data, and one way to handle missing values in a dataset is to replace them with estimations. However, there are many methods… read more here.
Keywords: imputation; driven missing; missing value; data driven ... See more keywords
Missing value imputation for short to mid-term horizontal solar irradiance data
Sign Up to like & getrecommendations! Published in 2018 at "Applied Energy"
DOI: 10.1016/j.apenergy.2018.05.054
Abstract: Improving the accuracy of solar irradiance forecasting has become crucial since the use of solar energy power has become more accessible due to increased efficiency and decreased costs associated with its production. Data quality and… read more here.
Keywords: irradiance; imputation; missing value; solar irradiance ... See more keywords
NAguideR: performing and prioritizing missing value imputations for consistent bottom-up proteomic analyses
Sign Up to like & getrecommendations! Published in 2020 at "Nucleic Acids Research"
DOI: 10.1093/nar/gkaa498
Abstract: Abstract Mass spectrometry (MS)-based quantitative proteomics experiments frequently generate data with missing values, which may profoundly affect downstream analyses. A wide variety of imputation methods have been established to deal with the missing-value issue. To… read more here.
Keywords: imputation; naguider performing; performing prioritizing; missing value ... See more keywords
Missing Value Imputation Designs and Methods of Nature-Inspired Metaheuristic Techniques: A Systematic Review
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3172319
Abstract: Missing values are highly undesirable in real-world datasets. The missing values should be estimated and treated during the preprocessing stage. With the expansion of nature-inspired metaheuristic techniques, interest in missing value imputation (MVI) has increased.… read more here.
Keywords: nature inspired; inspired metaheuristic; review; missing value ... See more keywords
Missing Value Imputation Methods for Electronic Health Records
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3251919
Abstract: Electronic health records (EHR) are patient-level information, e.g., laboratory tests and questionnaires, stored in electronic format. Compared to physical records, the EHR alternative allows patients to access their data easily and helps staff with management… read more here.
Keywords: health records; missing value; value imputation; electronic health ... See more keywords
An Iterative Locally Auto-Weighted Least Squares Method for Microarray Missing Value Estimation
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on NanoBioscience"
DOI: 10.1109/tnb.2016.2636243
Abstract: Microarray data often contain missing values which significantly affect subsequent analysis. Existing LLSimpute-based imputation methods for dealing with missing data have been shown to be generally efficient. However, all of the LLSimpute-based methods do not… read more here.
Keywords: estimation; missing value; lsimpute; value estimation ... See more keywords
Smartic: A smart tool for Big Data analytics and IoT
Sign Up to like & getrecommendations! Published in 2022 at "F1000Research"
DOI: 10.12688/f1000research.73613.1
Abstract: The Internet of Things (IoT) is leading the physical and digital world of technology to converge. Real-time and massive scale connections produce a large amount of versatile data, where Big Data comes into the picture.… read more here.
Keywords: smartic smart; big data; missing value; data analytics ... See more keywords
GSimp: A Gibbs sampler based left-censored missing value imputation approach for metabolomics studies
Sign Up to like & getrecommendations! Published in 2018 at "PLoS Computational Biology"
DOI: 10.1371/journal.pcbi.1005973
Abstract: Left-censored missing values commonly exist in targeted metabolomics datasets and can be considered as missing not at random (MNAR). Improper data processing procedures for missing values will cause adverse impacts on subsequent statistical analyses. However,… read more here.
Keywords: censored missing; left censored; value imputation; missing value ... See more keywords
Missing value prediction for qualitative information systems
Sign Up to like & getrecommendations! Published in 2020 at "Filomat"
DOI: 10.2298/fil2001175m
Abstract: Most information systems usually have some missing values due to unavailable data. Missing values have a negative impact on the quality of classification rules generated by data mining systems. They make it difficult to obtain… read more here.
Keywords: missing values; information; missing value; information systems ... See more keywords
An Improved Bi-LSTM-Based Missing Value Imputation Approach for Pregnancy Examination Data
Sign Up to like & getrecommendations! Published in 2022 at "Algorithms"
DOI: 10.3390/a16010012
Abstract: In recent years, the development of computer technology has promoted the informatization and intelligentization of hospital management systems and thus produced a large amount of medical data. These medical data are valuable resources for research.… read more here.
Keywords: examination data; missing value; value imputation; pregnancy ... See more keywords