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Single-cell RNA sequencing data imputation using bi-level feature propagation. [PDF]
Brief BioinformLee J +5 more
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Missing Data Imputation Method Combining Random Forest and Generative Adversarial Imputation Network. [PDF]
Sensors (Basel)Ou H, Yao Y, He Y.
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International Journal of Decision Support System Technology, 2022
Many real world datasets may contain missing values for various reasons. These incomplete datasets can pose severe issues to the underlying machine learning algorithms and decision support systems. It may result in high computational cost, skewed output and invalid deductions. Various solutions exist to mitigate this issue; the most popular strategy is
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Many real world datasets may contain missing values for various reasons. These incomplete datasets can pose severe issues to the underlying machine learning algorithms and decision support systems. It may result in high computational cost, skewed output and invalid deductions. Various solutions exist to mitigate this issue; the most popular strategy is
openaire +1 more source
Computational Biology and Chemistry, 2009
Single imputation methods have been wide-discussed topics among researchers in the field of bioinformatics. One major shortcoming of methods proposed until now is the lack of robustness considerations. Like all data, gene expression data can possess outlying values.
vanden Branden, Karlien +1 more
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Single imputation methods have been wide-discussed topics among researchers in the field of bioinformatics. One major shortcoming of methods proposed until now is the lack of robustness considerations. Like all data, gene expression data can possess outlying values.
vanden Branden, Karlien +1 more
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An Ensemble Method for Data Imputation
2019 IEEE International Conference on Healthcare Informatics (ICHI), 2019Healthcare analytics is transforming the healthcare industry, finding novel and useful patterns in patient data such as electronic health records (EHRs), to provide patients with improved care and service. Researchers train machine learning (ML) algorithms to discover new knowledge by mining patients’ clinical data to provide better care such as ...
Yichen Ding +3 more
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Privacy-Preserving Data Imputation
Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06), 2006In this paper, we investigate privacy-preserving data imputation on distributed databases. We present a privacy-preserving protocol for filling in missing values using a lazy decision tree imputation algorithm for data that is horizontally partitioned between two parties.
Geetha Jagannathan, Rebecca N. Wright
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