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DNA/RNA sequences, gene expression, protein structures, metagenomics, single-cell sequencing
23,625 datasets
A 9.5 KB Excel file presents results from a multi-omics study investigating low-density lipoprotein receptor-related protein 1 (LRP1) as a diagnostic and immunomodulatory target in endometriosis. The data was generated by author Chengmao Xie, integrating three GEO datasets (GSE7305, GSE11691, GSE25628) and single-cell RNA sequencing analyses, and was last updated in April 2026. It includes findings on 1,404 differentially expressed genes, 30 hub genes identified by machine learning, and immune correlation statistics.
1,404 differentially expressed genes were identified from three merged GEO datasets (GSE7305, GSE11691, GSE25628) to study endometriosis pathogenesis. The dataset, authored by Chengmao Xie and last updated in April 2026, presents findings on the role of low-density lipoprotein receptor-related protein 1 (LRP1) as a diagnostic and immunomodulatory target. It includes results from machine learning, immune profiling, Mendelian randomization, and single-cell RNA sequencing analyses.
A multi-omics analysis dataset supporting a diagnostic model for endometriosis, focusing on the biomarker LRP1. The data was generated by Chengmao Xie and last updated on April 15, 2026. It integrates results from three GEO datasets, identifying 1,404 differentially expressed genes and 30 hub genes through machine learning.
Chengmao Xie published a dataset on figshare in April 2026 supporting research on low-density lipoprotein receptor-related protein 1 (LRP1) as a diagnostic and immunomodulatory target in endometriosis. The 11.8 KB XLSX file contains results from integrated multi-omics analyses of three GEO datasets, identifying 1,404 differentially expressed genes and 30 hub genes. Findings include a causal relationship between LRP1 and M2 macrophage infiltration and validation of LRP1 expression in ectopic lesions.
A study by Chengmao Xie, uploaded in April 2026, investigates the role of the LRP1 gene in endometriosis. The dataset likely contains results from integrated multi-omics analyses of three GEO datasets, identifying differentially expressed genes and immune correlations. It includes findings from machine learning, Mendelian randomization, and single-cell RNA sequencing to support LRP1 as a diagnostic and immunomodulatory target.
1,404 differentially expressed genes were identified from three merged GEO datasets (GSE7305, GSE11691, GSE25628) to study endometriosis pathogenesis. The dataset contains results from a machine learning algorithm that identified 30 hub genes, with LRP1 showing the highest diagnostic performance, supported by immune profiling and Mendelian randomization analysis. It was authored by Chengmao Xie and last updated on April 15, 2026.
Chengmao Xie's dataset from figshare, last updated April 15, 2026, presents findings on low-density lipoprotein receptor-related protein 1 (LRP1) as a diagnostic and immunomodulatory target for endometriosis. The 93.5 KB XLSX file contains results from integrated multi-omics analyses of three GEO datasets, identifying 1,404 differentially expressed genes and 30 hub genes. The study includes evidence from machine learning, Mendelian randomization, and single-cell RNA sequencing, validated at mRNA and protein levels.
A study by Chengmao Xie, last updated April 2026, identifies low-density lipoprotein receptor-related protein 1 (LRP1) as a diagnostic biomarker for endometriosis. The dataset includes results from integrated multi-omics analyses of three GEO datasets (GSE7305, GSE11691, GSE25628), identifying 1,404 differentially expressed genes and 30 hub genes. Single-cell RNA sequencing data shows LRP1 expression in fibroblasts and monocytes, with experimental validation confirming elevated levels in ectopic lesions.
A study by Chengmao Xie, last updated April 2026, identifies low-density lipoprotein receptor-related protein 1 (LRP1) as a diagnostic biomarker for endometriosis. The dataset includes results from integrated multi-omics analyses of three GEO datasets (GSE7305, GSE11691, GSE25628), identifying 1,404 differentially expressed genes and 30 hub genes. Single-cell RNA sequencing data shows LRP1 expression in fibroblasts and monocytes, with experimental validation confirming elevated levels in ectopic lesions.
A 2026 study by Chengmao Xie identifies low-density lipoprotein receptor-related protein 1 (LRP1) as a potential diagnostic and immunomodulatory target for endometriosis. The dataset likely contains results from integrated multi-omics analyses, including 1,404 differentially expressed genes and 30 hub genes identified via machine learning from three merged GEO datasets. Experimental validation confirmed elevated LRP1 expression in ectopic lesions.
Table 8_LRP1 as a potential diagnostic and immunomodulatory target in endometriosis presents results from a multi-omics study. The dataset includes findings from integrated analyses of three GEO datasets, identifying 1,404 differentially expressed genes and 30 hub genes, with LRP1 showing the highest diagnostic performance. The dataset was authored by Chengmao Xie and last updated on 2026-04 15.
An external, independent evaluation analyzes progress and lessons from an international assistance program financed by the Government of Canada. The report focuses on support for displaced Venezuelan refugees and migrants and their host countries and communities. Global Affairs Canada published the evaluation on 2026-05-28.
A novel dataset of International Monetary Fund loan conditions from 1980 to 2019, built with machine-learning tools. It distinguishes direct anti-corruption conditions from indirect ones aimed at accountability and transparency. The data was created by Merih Angin and is hosted by Harvard Dataverse.
Five main input sources of data were collected for the research of Safari and Shamsfard. The dataset is a 5.5 KB Excel file authored by Pegah Safari and last updated on May 11, 2026. It is shared under a CC-BY-4.0 license on the figshare platform.
Instituciones Educativas y Sedes del Municipio de Puerto Boyacá lists schools and their campuses in the Puerto Boyacá municipality. The dataset includes addresses, institution names, student counts by education level, and geographic coordinates. It is hosted on the Colombian open data portal www.datos.gov.co and was last updated on 2026-05-18.
Project-level budget execution and physical progress for public investments in the municipality of Fusagasugá, Colombia. The data is tracked by the Office of Projects and International Cooperation of the Mayor's Office and registered in the Project Bank (BPIN). It includes initial appropriations, obligations, commitments, and payments, separated by funding source.
Senior Executive Expenses 2021-22 Q2 is a quarterly dataset from the Government of New Brunswick detailing reimbursed travel and other expenses for senior executives. Reported expense categories include transportation, allowances, lodging and meals, and other business-related costs. The data is published to ensure government transparency and accountability, excluding constituency office expenses.
Quarterly data from 2020-21 Q4 details reimbursed travel and other expenses for senior executives in the New Brunswick government. Reported expense categories include transportation, allowances, lodging and meals, and other business-related costs. The dataset excludes constituency office expenses and is published to support government transparency and accountability.
New Brunswick's government provides quarterly data on senior executive travel and other reimbursed expenses to ensure transparency and accountability. The dataset includes expense categories such as transportation, allowances, lodging and meals, and other business-related costs. Expenses are reported by the department where the individual was assigned during the quarter and exclude constituency office expenses.
New Brunswick's government provides quarterly expense data for senior executives to ensure transparency. The data likely contains categorized expenses for transportation, allowances, lodging, meals, and other business costs from the second quarter of 2025-2026. It is published by the Government of New Brunswick and was last updated on April 17, 2026.