Review



open studio for data integration version 6.4  (Talend Inc)

 
  • Logo
  • About
  • News
  • Press Release
  • Team
  • Advisors
  • Partners
  • Contact
  • Bioz Stars
  • Bioz vStars
    • 90
      Buy from Supplier

    Structured Review

    Talend Inc open studio for data integration version 6.4
    Open Studio For Data Integration Version 6.4, supplied by Talend Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/data+integration/open+studio+for+data+integration+version+6+4/pmc06949163-234-6-2
    Average 90 stars, based on 1 article reviews
    open studio for data integration version 6.4 - by Bioz Stars, 2026-10
    90/100 stars

    Images

    Related Articles

    other:

    Article Title: Transforming French Electronic Health Records into the Observational Medical Outcome Partnership's Common Data Model: A Feasibility Study
    Article Snippet: Extract–Transform–LoadImplementation We used Talend Open Studio for Data Integration (version 6.4) to implementation the ETL process.

    Article Title: Transforming French Electronic Health Records into the Observational Medical Outcome Partnership's Common Data Model: A Feasibility Study
    Article Snippet: We used Talend Open Studio for Data Integration (version 6.4) to implementation the ETL process.

    Article Title: Brain temperature but not core temperature increases during spreading depolarizations in patients with spontaneous intracerebral hemorrhage
    Article Snippet: Anonymized datasets were merged into a standardized database (PostgreSQL 8.4- www.postgresql.org ) using Perl ( www.perl.org ) and Talend Open Studio for Data Integration 5.1 (TOS- www.talend.com ) and averaged to 5-min-means by a biomedical engineer (WH) blinded to ECoG and outcome data.

    Article Title: Brain temperature but not core temperature increases during spreading depolarizations in patients with spontaneous intracerebral hemorrhage
    Article Snippet: Anonymized datasets were merged into a standardized database (PostgreSQL 8.4-www.postgresql.org) using Perl (www.perl.org) and Talend Open Studio for Data Integration 5.1 (TOS-www.talend.com) and averaged to 5-min-means by a biomedical engineer (WH) blinded to ECoG and outcome data.

    Software:

    Article Title: Cooperative Learning Groups: A New Approach Based on Students’ Performance Prediction
    Article Snippet: .. To address this issue, we used the Talend Open Studio software to transpose the data and aggregate it with the student’s code. ..



    Similar Products

    data seg y integrated multichannel seismic profiler dataset  (Mendeley Ltd)
    86
    Mendeley Ltd data seg y integrated multichannel seismic profiler dataset
    Data Seg Y Integrated Multichannel Seismic Profiler Dataset, supplied by Mendeley Ltd, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/data+integration/data+dataset+integrated+multichannel+profiler+seg+seismic+y/pmc13200035-131-1-0
    Average 86 stars, based on 1 article reviews
    data seg y integrated multichannel seismic profiler dataset - by Bioz Stars, 2026-10
    86/100 stars
    		  Buy from Supplier
    deep learning based multi omics data integration approach  (Omics Data Automation)
    86
    Omics Data Automation deep learning based multi omics data integration approach
    Deep Learning Based Multi Omics Data Integration Approach, supplied by Omics Data Automation, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/data+integration/approach+based+data+deep+integration+learning+multi+omics/pm42168900-290-22-24
    Average 86 stars, based on 1 article reviews
    deep learning based multi omics data integration approach - by Bioz Stars, 2026-10
    86/100 stars
    		  Buy from Supplier
    multi omics data • flexible integration  (Omics Data Automation)
    86
    Omics Data Automation multi omics data • flexible integration
    Multi Omics Data • Flexible Integration, supplied by Omics Data Automation, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/data+integration/data+integration+multi+omics/pmc13174227-39-8-26
    Average 86 stars, based on 1 article reviews
    multi omics data • flexible integration - by Bioz Stars, 2026-10
    86/100 stars
    		  Buy from Supplier
    zenbu omics data integration and visualization system  (Omics Data Automation)
    86
    Omics Data Automation zenbu omics data integration and visualization system
    Zenbu Omics Data Integration And Visualization System, supplied by Omics Data Automation, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/data+integration/and+data+integration+omics+system+visualization+zenbu/pmc13125401-323-0-1
    Average 86 stars, based on 1 article reviews
    zenbu omics data integration and visualization system - by Bioz Stars, 2026-10
    86/100 stars
    		  Buy from Supplier
    multi omics data integration approaches  (Omics Data Automation)
    86
    Omics Data Automation multi omics data integration approaches
    Multi Omics Data Integration Approaches, supplied by Omics Data Automation, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/data+integration/approach+based+data+deep+integration+learning+multi+omics/pm42043678-521-4-26
    Average 86 stars, based on 1 article reviews
    multi omics data integration approaches - by Bioz Stars, 2026-10
    86/100 stars
    		  Buy from Supplier
    prototypical contrastive learning based multi omics data integration model  (Omics Data Automation)
    86
    Omics Data Automation prototypical contrastive learning based multi omics data integration model
    Prototypical Contrastive Learning Based Multi Omics Data Integration Model, supplied by Omics Data Automation, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/data+integration/data+integration+multi+omics/10__1002_slash_aidi__202500249-429-11-14
    Average 86 stars, based on 1 article reviews
    prototypical contrastive learning based multi omics data integration model - by Bioz Stars, 2026-10
    86/100 stars
    		  Buy from Supplier
    integrated single cell rna seq data  (Mendeley Ltd)
    86
    Mendeley Ltd integrated single cell rna seq data
    <t>Single-cell</t> <t>analysis</t> of HCC TME and hepatocyte metabolic reprogramming. (A) UMAP dimensionality reduction plot showing 22 initial cell clusters. (B) Annotation of 7 major cell populations based on established marker genes. (C) Expression patterns of CD274 (PD-L1) and CTLA4 in various cell types before and after immunotherapy. (D) Cellular composition across samples. Sample H68 exhibits the highest proportion of Hepatocytes. (E) UMAP plot of hepatocyte subclustering analysis based on metabolic-related gene expression profiles, identifying 5 subpopulations (clusters 0-4). Cluster 1 is significantly enriched in post-treatment samples. (F) KEGG pathway enrichment analysis reveals functional clustering of hepatocyte subpopulations (clusters 0-4). (G) Hierarchical clustering of significantly enriched pathways within these clusters. (H) Expression patterns of core genes within the Pyruvate metabolism pathway across the five hepatocyte subpopulations. Genes in this pathway exhibit significantly elevated expression in Cluster 1.
    Integrated Single Cell Rna Seq Data, supplied by Mendeley Ltd, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/data+integration/data+sequencing/pmc13111318-1-0-5
    Average 86 stars, based on 1 article reviews
    integrated single cell rna seq data - by Bioz Stars, 2026-10
    86/100 stars
    		  Buy from Supplier
    integrated clinformatics data mart  (Optum Inc)
    86
    Optum Inc integrated clinformatics data mart
    <t>Single-cell</t> <t>analysis</t> of HCC TME and hepatocyte metabolic reprogramming. (A) UMAP dimensionality reduction plot showing 22 initial cell clusters. (B) Annotation of 7 major cell populations based on established marker genes. (C) Expression patterns of CD274 (PD-L1) and CTLA4 in various cell types before and after immunotherapy. (D) Cellular composition across samples. Sample H68 exhibits the highest proportion of Hepatocytes. (E) UMAP plot of hepatocyte subclustering analysis based on metabolic-related gene expression profiles, identifying 5 subpopulations (clusters 0-4). Cluster 1 is significantly enriched in post-treatment samples. (F) KEGG pathway enrichment analysis reveals functional clustering of hepatocyte subpopulations (clusters 0-4). (G) Hierarchical clustering of significantly enriched pathways within these clusters. (H) Expression patterns of core genes within the Pyruvate metabolism pathway across the five hepatocyte subpopulations. Genes in this pathway exhibit significantly elevated expression in Cluster 1.
    Integrated Clinformatics Data Mart, supplied by Optum Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/data+integration/clinformatics+data+database+mart/pm41946549-38-15-14
    Average 86 stars, based on 1 article reviews
    integrated clinformatics data mart - by Bioz Stars, 2026-10
    86/100 stars
    		  Buy from Supplier
    multi omics data integration  (Omics Data Automation)
    86
    Omics Data Automation multi omics data integration
    <t>Single-cell</t> <t>analysis</t> of HCC TME and hepatocyte metabolic reprogramming. (A) UMAP dimensionality reduction plot showing 22 initial cell clusters. (B) Annotation of 7 major cell populations based on established marker genes. (C) Expression patterns of CD274 (PD-L1) and CTLA4 in various cell types before and after immunotherapy. (D) Cellular composition across samples. Sample H68 exhibits the highest proportion of Hepatocytes. (E) UMAP plot of hepatocyte subclustering analysis based on metabolic-related gene expression profiles, identifying 5 subpopulations (clusters 0-4). Cluster 1 is significantly enriched in post-treatment samples. (F) KEGG pathway enrichment analysis reveals functional clustering of hepatocyte subpopulations (clusters 0-4). (G) Hierarchical clustering of significantly enriched pathways within these clusters. (H) Expression patterns of core genes within the Pyruvate metabolism pathway across the five hepatocyte subpopulations. Genes in this pathway exhibit significantly elevated expression in Cluster 1.
    Multi Omics Data Integration, supplied by Omics Data Automation, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/data+integration/data+integration+multi+omics/pmc13054975-0-12-12
    Average 86 stars, based on 1 article reviews
    multi omics data integration - by Bioz Stars, 2026-10
    86/100 stars
    		  Buy from Supplier

    Image Search Results


    Single-cell analysis of HCC TME and hepatocyte metabolic reprogramming. (A) UMAP dimensionality reduction plot showing 22 initial cell clusters. (B) Annotation of 7 major cell populations based on established marker genes. (C) Expression patterns of CD274 (PD-L1) and CTLA4 in various cell types before and after immunotherapy. (D) Cellular composition across samples. Sample H68 exhibits the highest proportion of Hepatocytes. (E) UMAP plot of hepatocyte subclustering analysis based on metabolic-related gene expression profiles, identifying 5 subpopulations (clusters 0-4). Cluster 1 is significantly enriched in post-treatment samples. (F) KEGG pathway enrichment analysis reveals functional clustering of hepatocyte subpopulations (clusters 0-4). (G) Hierarchical clustering of significantly enriched pathways within these clusters. (H) Expression patterns of core genes within the Pyruvate metabolism pathway across the five hepatocyte subpopulations. Genes in this pathway exhibit significantly elevated expression in Cluster 1.

    Journal: Frontiers in Immunology

    Article Title: The inhibitory effect of hepatic cancer energy metabolism on immune checkpoint therapy: perspectives from single-cell multi-omics analysis

    doi: 10.3389/fimmu.2026.1753670

    Figure Lengend Snippet: Single-cell analysis of HCC TME and hepatocyte metabolic reprogramming. (A) UMAP dimensionality reduction plot showing 22 initial cell clusters. (B) Annotation of 7 major cell populations based on established marker genes. (C) Expression patterns of CD274 (PD-L1) and CTLA4 in various cell types before and after immunotherapy. (D) Cellular composition across samples. Sample H68 exhibits the highest proportion of Hepatocytes. (E) UMAP plot of hepatocyte subclustering analysis based on metabolic-related gene expression profiles, identifying 5 subpopulations (clusters 0-4). Cluster 1 is significantly enriched in post-treatment samples. (F) KEGG pathway enrichment analysis reveals functional clustering of hepatocyte subpopulations (clusters 0-4). (G) Hierarchical clustering of significantly enriched pathways within these clusters. (H) Expression patterns of core genes within the Pyruvate metabolism pathway across the five hepatocyte subpopulations. Genes in this pathway exhibit significantly elevated expression in Cluster 1.

    Article Snippet: Integrated single-cell RNA-seq data (GEO, Mendeley) were analyzed using Seurat, AUCell, pySCENIC, CellChat, and Monocle.

    Techniques: Single-cell Analysis, Marker, Expressing, Gene Expression, Functional Assay