open source datasets Search Results


90
KAUST Core Labs kaust-hs open-source dataset
Kaust Hs Open Source Dataset, supplied by KAUST Core Labs, 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/result/kaust-hs open-source dataset/product/KAUST Core Labs
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kaust-hs open-source dataset - by Bioz Stars, 2026-06
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90
IQVIA Inc open source longitudinal prescription claims and medical claims datasets
Open Source Longitudinal Prescription Claims And Medical Claims Datasets, supplied by IQVIA Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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open source longitudinal prescription claims and medical claims datasets - by Bioz Stars, 2026-06
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90
EyePACS LLC open sourced dataset
Open Sourced Dataset, supplied by EyePACS LLC, 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/result/open sourced dataset/product/EyePACS LLC
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open sourced dataset - by Bioz Stars, 2026-06
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90
Horien International Co Ltd a hitchhiker’s guide to working with large, open-source neuroimaging datasets
A Hitchhiker’s Guide To Working With Large, Open Source Neuroimaging Datasets, supplied by Horien International Co Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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a hitchhiker’s guide to working with large, open-source neuroimaging datasets - by Bioz Stars, 2026-06
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86
Biotechnology Information open source dataset gse4648
a ) and b ) Gene expression changes within infarcted left ventricle (‘infarct’) are marked at 24- and 48-hours post-MI, as assessed by hierarchical clustering and principal component analyses of the open-source GEO dataset <t>GSE4648</t> . Analyses carried out using Geo2R and the open-source BART bioinformatics tool. c ) Differential gene expression patterns identified in 24-hour post-MI ventricle compared with sham control. cIAP2 (Birc3) is significantly upregulated. d ) LV infarct region gene expression timecourse of cIAP2 (maroon) and related transcripts cIAP1 (blue) and Xiap (green), contrasted with measured cardiac marker tnnt2 (Cardiac Troponin T) and inflammatory marker cxcl1. e ) Compiled expression timecourse of representative myeloid-related transcripts (maroon) and lymphoid transcripts (blue) from LV infarct region post-MI. ptprc (black) = hematopoietic marker gene transcript. f ) Gene Ontogeny (GO) pathway enrichment following MI identifies multiple networks requiring cIAP2. g ) NOD1 −/− mice have reduced systolic dysfunction and cardiac inflammation following MI relative to WT control mice. Control-operated mice: N = 3; MI-operated mice: N = 5. Ejection fraction: N = 4 MI-operated per group. h ) cIAP2 is expressed at lower levels, along with inflammatory genes RIPK1, IRAK4 and TRAF6, in multiple danger signaling receptor-deficient mouse models following MI. Image is representative of two similar experiments. Error bars denote Mean +/- SD; p values were calculated using one-way ANOVA with Bonferroni’s correction ( g , upper panel) or two-sided t-test ( g , lower panel).
Open Source Dataset Gse4648, supplied by Biotechnology Information, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


a ) and b ) Gene expression changes within infarcted left ventricle (‘infarct’) are marked at 24- and 48-hours post-MI, as assessed by hierarchical clustering and principal component analyses of the open-source GEO dataset GSE4648 . Analyses carried out using Geo2R and the open-source BART bioinformatics tool. c ) Differential gene expression patterns identified in 24-hour post-MI ventricle compared with sham control. cIAP2 (Birc3) is significantly upregulated. d ) LV infarct region gene expression timecourse of cIAP2 (maroon) and related transcripts cIAP1 (blue) and Xiap (green), contrasted with measured cardiac marker tnnt2 (Cardiac Troponin T) and inflammatory marker cxcl1. e ) Compiled expression timecourse of representative myeloid-related transcripts (maroon) and lymphoid transcripts (blue) from LV infarct region post-MI. ptprc (black) = hematopoietic marker gene transcript. f ) Gene Ontogeny (GO) pathway enrichment following MI identifies multiple networks requiring cIAP2. g ) NOD1 −/− mice have reduced systolic dysfunction and cardiac inflammation following MI relative to WT control mice. Control-operated mice: N = 3; MI-operated mice: N = 5. Ejection fraction: N = 4 MI-operated per group. h ) cIAP2 is expressed at lower levels, along with inflammatory genes RIPK1, IRAK4 and TRAF6, in multiple danger signaling receptor-deficient mouse models following MI. Image is representative of two similar experiments. Error bars denote Mean +/- SD; p values were calculated using one-way ANOVA with Bonferroni’s correction ( g , upper panel) or two-sided t-test ( g , lower panel).

Journal: Nature Cardiovascular Research

Article Title: Hematopoietic expression of cIAP2 drives inflammation and heart failure after myocardial infarction

doi: 10.1038/s44161-026-00782-x

Figure Lengend Snippet: a ) and b ) Gene expression changes within infarcted left ventricle (‘infarct’) are marked at 24- and 48-hours post-MI, as assessed by hierarchical clustering and principal component analyses of the open-source GEO dataset GSE4648 . Analyses carried out using Geo2R and the open-source BART bioinformatics tool. c ) Differential gene expression patterns identified in 24-hour post-MI ventricle compared with sham control. cIAP2 (Birc3) is significantly upregulated. d ) LV infarct region gene expression timecourse of cIAP2 (maroon) and related transcripts cIAP1 (blue) and Xiap (green), contrasted with measured cardiac marker tnnt2 (Cardiac Troponin T) and inflammatory marker cxcl1. e ) Compiled expression timecourse of representative myeloid-related transcripts (maroon) and lymphoid transcripts (blue) from LV infarct region post-MI. ptprc (black) = hematopoietic marker gene transcript. f ) Gene Ontogeny (GO) pathway enrichment following MI identifies multiple networks requiring cIAP2. g ) NOD1 −/− mice have reduced systolic dysfunction and cardiac inflammation following MI relative to WT control mice. Control-operated mice: N = 3; MI-operated mice: N = 5. Ejection fraction: N = 4 MI-operated per group. h ) cIAP2 is expressed at lower levels, along with inflammatory genes RIPK1, IRAK4 and TRAF6, in multiple danger signaling receptor-deficient mouse models following MI. Image is representative of two similar experiments. Error bars denote Mean +/- SD; p values were calculated using one-way ANOVA with Bonferroni’s correction ( g , upper panel) or two-sided t-test ( g , lower panel).

Article Snippet: Left ventricular expression of gene products over a 48-hour timecourse was catalogued in the National Center for Biotechnology Information (NCBI)-curated, open-source dataset GSE4648 ( GDS2329 ) (for reference, see https://www.ncbi.nlm.nih.gov/sites/GDSbrowser?acc=GDS2329 ).

Techniques: Gene Expression, Control, Marker, Expressing