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Dataset results
57 results for “co-expression analysis”
Multi-cell type gene co-expression network analysis reveals coordinated interferon response and cross cell-type correlations in systemic lupus erythematosus
GEO Series GSE149050. Homo sapiens. 288 samples. Type: Expression profiling by high throughput sequencing.
Transcriptome profiling and weighted gene co-expression network analysis of early floral development in Aquilegia coerulea
GEO Series GSE158507. Aquilegia coerulea. 32 samples. Type: Expression profiling by high throughput sequencing.
Integrated Analysis of LncRNA-mRNA Co-Expression in the Extracellular Matrix of Developing Deciduous Teeth in Miniature Pigs
GEO Series GSE122516. Sus scrofa. 9 samples. Type: Expression profiling by high throughput sequencing.
Tissue and circulating microRNA co-expression analysis reveals potential involvement of miRNAs in the pathobiology of frontal fibrosing alopecia [blood]
GEO Series GSE101618. Homo sapiens. 20 samples. Type: Expression profiling by RT-PCR.
Genome-wide analysis of TRA (tissue restricted antigen)-specific co-expression groups in mouse medullary thymic epithelial cells (mTECs)
GEO Series GSE69435. Mus musculus. 35 samples. Type: Expression profiling by array.
FBXW4 acts as a protector of FOLFOX-based Chemotherapy in Metastatic Colorectal Cancer Identified by Co-expression network analysis
GEO Series GSE138912. Homo sapiens. 11 samples. Type: Expression profiling by array.
Single-cell transcriptomic analysis identified resistant MDSCs and a stress-tolerant gene co-expression network as common MDSC features across multiple disease settings
GEO Series GSE249243. Homo sapiens. 16 samples. Type: Methylation profiling by SNP array.
Co-expression Analysis Reveals Dysregulated miRNAs and miRNA-mRNA Interactions in the Development of Contrast-induced Acute Kidney Injury [mRNA]
GEO Series GSE130795. Rattus norvegicus. 6 samples. Type: Expression profiling by high throughput sequencing.
Gene Co-Expression Network Analysis Unraveling Transcriptional Regulation of High-altitude Adaptation of Tibetan Pigs
GEO Series GSE84409. Sus scrofa. 8 samples. Type: Expression profiling by array.
Identification of Key LncRNAs and Pathways in Prediabetes and Type 2 Diabetes Mellitus for Hypertriglyceridemia Patients Based on Weighted Gene Co-Expression Network Analysis
GEO Series GSE193436. Homo sapiens. 18 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Co-expression trans-eQTL analysis data
<p><strong>Sample metadata:</strong></p> <ul> <li>sample_metadata.tsv - tab separated file with metadata for samples used in this analysis.</li> </ul> <p><strong>Gene expression matrix:</strong></p> <ul> <li>Merged_ENSG_expression.tsv - integrated gene expression matrix used in the co-expression analysis (Ensembl IDs in rows and sample IDs in columns). The matrix can be split into sub matrices using the metadata from sample_metadata.tsv for separate analysis of cell types.</li> </ul> <p><strong>Genes in the modules:</strong></p> <ul> <li>ICA_modules.tsv - data for assigning genes to modules from ICA method. Column 'loading' shows the contribution value of the gene to the module. Column 'approach' indicates if the module was detected from integrated or separate data. Column 'qtl_group' is an identifier for the cell type/condition.</li> <li>PEER_modules.tsv - data for assigning genes to modules from PEER method. Column 'loading' shows the contribution value of the gene to the module. </li> <li>PLIER_modules.tsv - data for assigning genes to modules from PLIER method. Column 'loading' shows the contribution value of the gene to the module.</li> <li>WGCNA_modules.tsv - data for assigning genes to modules from WGCNA method. Column 'loading' shows the contribution value of the gene to the module. Column 'loading' has value 1 as the method assigns genes to modules without defining their contributions. </li> <li>funcExplorer_modules.tsv - data for assigning genes to modules from funcExplorer method. Column 'loading' has value 1 as the method assigns genes to modules without defining their contributions. </li> </ul> <p><strong>Module eigenvectors used for the trans-eQTL analysis</strong></p> <ul> <li>eigenvectors_integrated.tsv - module eigenvectors for all the co-expression analysis methods applied to integrated data</li> <li>eigenvectors_separate.tsv- module eigenvectors for all the co-expression analysis methods applied to cell types separately</li> </ul> <p><strong>SuSiE fine mapping credible sets </strong></p> <ul> <li>SuSiE_credible_sets_integrated.tsv</li> <li>SuSiE_credible_sets_separate.tsv</li> </ul>
Identification of Potential Functional Modules and Diagnostic Genes for Crohn's Disease Based on Weighted Gene Co-expression Network Analysis and LASSO Algorithm
<p>Table S1 651 DEGs between CD and control samples</p> <p>Table S2 381 ME turquoise module genes</p> <p>Table S3 Coefficients of the eight module genes analyzed by LASSO regression</p>
The raw data about the research of identification of biomarkers related to systemic sclerosis with or without pulmonary hypertension via co-expression analysis
<p>This file includes some of necessary raw data and code about the research of identification of biomarkers related to systemic sclerosis with or without pulmonary hypertension via co-expression analysis.</p> <p> </p>
Dataset for "Decoding host-microbiome interactions through co-expression network analysis within the non-human primate intestine"
<p>Dataset:</p> <p>Data1. Host gene expression profile</p> <p>Data2. Microbiome gene expression profile</p>
ScRNAseq analysis of chicken embryonic pituitary reveals cell heterogeneity and a cell type co-expressing Gh and Pomc
GEO Series GSE288578. Gallus gallus. 2 samples. Type: Expression profiling by high throughput sequencing.
Co-expression Analysis Reveals Dysregulated miRNAs and miRNA-mRNA Interactions in the Development of Contrast-induced Acute Kidney Injury [miRNA]
GEO Series GSE130796. Rattus norvegicus. 6 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Gene co-expression network analysis of myostatin regulation at three different mouse developmental timepoints
GEO Series GSE63154. Mus musculus. 60 samples. Type: Expression profiling by array.
Tissue and circulating microRNA co-expression analysis reveals potential involvement of miRNAs in the pathobiology of frontal fibrosing alopecia [skin]
GEO Series GSE101619. synthetic construct; Homo sapiens. 14 samples. Type: Non-coding RNA profiling by array.
Single-cell sequencing analysis and weighted co-expression network analysis based on public databases identified that TNC is a novel biomarker for keloid
GEO Series GSE190626. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
Tissue and circulating microRNA co-expression analysis reveals potential involvement of miRNAs in the pathobiology of frontal fibrosing alopecia
GEO Series GSE101620. synthetic construct; Homo sapiens. 34 samples. Type: Non-coding RNA profiling by array; Expression profiling by RT-PCR.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.