Deep Learning Methods for Omics Data Imputation

Deep Learning Methods for Omics Data Imputation

One common problem in omics data analysis is missing values, which can arise due to various reasons, such as poor tissue quality and insufficient sample volumes. Instead of discarding missing values and related data, imputation approaches offer an alternative means of handling missing data. However,...

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Bibliographic Details
Main Authors: Lei Huang, Meng Song, Hui Shen, Huixiao Hong, Ping Gong, Hong-Wen Deng, Chaoyang Zhang
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Biology
Subjects:
omics imputation
deep learning
multi-omics imputation
Online Access:https://www.mdpi.com/2079-7737/12/10/1313

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