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An integrative imputation method based on multi-omics datasets.
Lin D, Zhang J, Li J, Xu C, Deng HW, Wang YP. Lin D, et al. BMC Bioinformatics. 2016 Jun 21;17:247. doi: 10.1186/s12859-016-1122-6. BMC Bioinformatics. 2016. PMID: 27329642 Free PMC article.
These missing values severely hinder integrative analysis of multi-omics data. Current imputation methods mainly focus on using single omics data while ignoring biological interconnections and information imbedded in multi-omics …
These missing values severely hinder integrative analysis of multi-omics data. Current imputation methods …
Multi-View Variational Autoencoder for Missing Value Imputation in Untargeted Metabolomics.
Zhao C, Su KJ, Wu C, Cao X, Sha Q, Li W, Luo Z, Qin T, Qiu C, Zhao LJ, Liu A, Jiang L, Zhang X, Shen H, Zhou W, Deng HW. Zhao C, et al. ArXiv [Preprint]. 2024 Mar 12:arXiv:2310.07990v2. ArXiv. 2024. PMID: 37873011 Free PMC article. Preprint.
By learning the latent representations of both omics data, our method can effectively impute missing metabolomics values based on genomic information. RESULTS: We evaluate the performance of our method on empirical metabolomics datasets w …
By learning the latent representations of both omics data, our method can effectively impute missing metabolomics value …
Reprogramming of lipid metabolism in hepatocellular carcinoma resulting in downregulation of phosphatidylcholines used as potential markers for diagnosis and prediction.
Li K, Shi W, Song Y, Qin L, Zang C, Mei T, Li A, Song Q, Zhang Y. Li K, et al. Expert Rev Mol Diagn. 2023 Jul-Dec;23(11):1015-1026. doi: 10.1080/14737159.2023.2254884. Epub 2023 Sep 6. Expert Rev Mol Diagn. 2023. PMID: 37672012
BACKGROUND: Aberrant methylation and metabolic perturbations may deepen our understanding of hepatocarcinogenesis and help identify novel biomarkers for diagnosing hepatocellular carcinoma (HCC). We aimed to develop an HCC model based on a multi-omics. RESEAR …
BACKGROUND: Aberrant methylation and metabolic perturbations may deepen our understanding of hepatocarcinogenesis and help identify novel bi …
InClust+: the deep generative framework with mask modules for multimodal data integration, imputation, and cross-modal generation.
Wang L, Nie R, Miao X, Cai Y, Wang A, Zhang H, Zhang J, Cai J. Wang L, et al. BMC Bioinformatics. 2024 Jan 24;25(1):41. doi: 10.1186/s12859-024-05656-2. BMC Bioinformatics. 2024. PMID: 38267858 Free PMC article.
BACKGROUND: With the development of single-cell technology, many cell traits can be measured. Furthermore, the multi-omics profiling technology could jointly measure two or more traits in a single cell simultaneously. In order to process the various data accumulated …
BACKGROUND: With the development of single-cell technology, many cell traits can be measured. Furthermore, the multi-omics pro …