Mixture modeling is a major paradigm for clustering in statistics. In this article, we develop a new block-wise variable selection method for clustering by exploiting the latent states of the hidden Markov model on variable blocks or the Gaussian mixture model. The variable blocks are formed by depth-first-search on a dendrogram created based on the mutual information between any pair of variables. It is demonstrated that the latent states of the variable blocks together with...

Mixture modeling is a major paradigm for clustering in statistics. In this article, we develop a new block-wise variable selection method for clustering by exploiting the latent states of the hidden Markov model on variable blocks or the Gaussian mixture model. The variable blocks are formed by depth-first-search on a dendrogram created based on the mutual information between any pair of variables. It is demonstrated that the latent states of the variable blocks together with...

The severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) can target cardiomyocytes (CMs) to directly invade the heart resulting in high mortality. This study aims to explore the biological characteristics of SARS-CoV-2 infected myocardium based on omics by collecting transcriptome data and analyzing them with a series of bioinformatics tools. Totally, 86 differentially expressed genes (DEGs) were discovered in SARS-CoV-2 infected CMs, and 15 miRNAs were discovered to target 60 genes. Functional enrichment analysis indicated that these...

The severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) can target cardiomyocytes (CMs) to directly invade the heart resulting in high mortality. This study aims to explore the biological characteristics of SARS-CoV-2 infected myocardium based on omics by collecting transcriptome data and analyzing them with a series of bioinformatics tools. Totally, 86 differentially expressed genes (DEGs) were discovered in SARS-CoV-2 infected CMs, and 15 miRNAs were discovered to target 60 genes. Functional enrichment analysis indicated that these...

Mir-10b has been reported as a key regulator of metastasis in many human tumours. Moreover, it has also been regarded as a prognostic marker and therapeutic target of colorectal cancer (CRC). Whether miR-10b could affect the metastasis and proliferation of CRC is unclear. MiR-10b expression was detected by qPCR in human CRC tissues and cell line, Luciferase activity was employed for miR-10b binding to the 3`UTR of KLF4, Genes expression were examined by western blot,...

Mir-10b has been reported as a key regulator of metastasis in many human tumours. Moreover, it has also been regarded as a prognostic marker and therapeutic target of colorectal cancer (CRC). Whether miR-10b could affect the metastasis and proliferation of CRC is unclear. MiR-10b expression was detected by qPCR in human CRC tissues and cell line, Luciferase activity was employed for miR-10b binding to the 3`UTR of KLF4, Genes expression were examined by western blot,...

Background: Statin alone or nonstatins as add-ons have been introduced to intensive low-density lipoprotein cholesterol (LDL-C) lowering therapy in patients at high cardiovascular disease (CVD) risk. The purpose of this study was to evaluate the effectiveness and safety of different statin-based regimens for patients at high risk. Methods: Three hundred patients at high CVD risk were randomly assigned to the statin group (Rosuvastatin 20mg/d), statin_EZ group (Rosuvastatin 10mg/d + ezetimibe 10mg/d), statin_pcsk group (Rosuvastatin 10mg/d...

Additional file 2: Table S2. Association results for the multi-ancestry index SNPs with the gene prioritization.

Additional file 4: Table S3. Text mining results for the PoPS+ prioritized genes.

Additional file 2.

Additional file 2. RNA-seq reads of SH-SY5Y cells from control group and EIF5A2-OE group.

Additional file 3. The correlation matrix of three biological replicates of the EIF5A2-OE group and the control group.

Additional file 4. The downregulated DEGs of EIF5A2-OE group vs Control group.

Additional file 5. The upregulated DEGs of EIF5A2-OE group vs Control group.

Additional file 8. Differentially expressed TFs in EIF5A2-OE group.

Additional file 9. Analysis of the potential target genes regulated by BHLHE40, RHOXF1, and TBX20.

Additional file 10. Correlation analysis between differentially expressed TFs and the validated UPR-related genes.

Additional file 9. Table S5. The parameters and evaluation of PCA and OPLS-DA models.

Additional file 5. Table S1. The abundance and taxonomy of OTUs.

Additional file 4: Table S3. Text mining results for the PoPS+ prioritized genes.

Additional file 4: Table S3. The layer-specific markers found from our human postmortem Visium SRT dataset and the previously known layer markers.

Additional file 6: Table S5. The deconvolution analyses result using the snRNA-Seq dataset from the human MTG (Hodge et al., 2019) and the cell type proportion correlation result by comparing cell type proportion from our Visium SRT dataset with pciSeq dataset (Langseth et al., 2021).

Additional file 6: Table S5. The deconvolution analyses result using the snRNA-Seq dataset from the human MTG (Hodge et al., 2019) and the cell type proportion correlation result by comparing cell type proportion from our Visium SRT dataset with pciSeq dataset (Langseth et al., 2021).

Additional file 8: Table S6. Association of lipid index variants with CAD, T2D and NAFLD.

Additional file 10: Table S7. DESE phenotype-tissue association results using both GTEx gene-level and transcript-level selective expression.