Loading...
Loading...
DNA/RNA sequences, gene expression, protein structures, metagenomics, single-cell sequencing
22,737 datasets
5.5 KB Excel file containing a hyperparameter grid for a unified deep learning framework evaluated on three clinical datasets. The framework, proposed by Vijay U. Rathod, integrates MLP, CNN, FT-Transformer, and autoencoder architectures and was last updated on 2026-05-08. It was tested on the UCI Heart Disease (303 samples), PIMA Diabetes (768 samples), and Parkinson's voice (195 samples) datasets.
A scoping review synthesizing evidence on the genetic architecture of treatment-resistant schizophrenia (TRS). The review includes 102 studies identified via a systematic PubMed search up to March 2025, following PRISMA-ScR guidelines. It was authored by Urmi Das and last updated in May 2026.
55.7 MB of genomic and phenotypic data from two generations of Atlantic salmon (Salmo salar) for a genome-wide association study (GWAS). The dataset supports research on bacterial kidney disease (BKD) resistance and haplotype characterization. It was authored by Angela Astudillo and last updated on June 2, 2026.
Eriс Khananshvilli published an exploratory study on figshare in 2026 demonstrating RNA targeting in the nematode Caenorhabditis elegans. The dataset likely contains results from experiments where cholesterol-conjugated DNAzymes were delivered by feeding to reduce target gene expression in intestinal cells. The data is available under a CC-BY-4.0 license.
Gene expression data from the Gene Expression Omnibus (GEO) used to develop an osteoporosis diagnostic model. The dataset includes results from bioinformatics analyses identifying 299 disulfidoptosis-related differentially expressed genes and a model built on three hub genes (SOAT2, FOLR3, TUBA8). The data was authored by Ping Yang and last updated on 2026-05-28.
Gene Expression Omnibus (GEO) microarray datasets underpin this osteoporosis research. The dataset contains results from an integrative bioinformatics analysis identifying 299 disulfidoptosis-related differentially expressed genes and a diagnostic model built using three hub genes. Authored by Ping Yang and last updated on 2026-05-28, the work includes experimental validation in an osteoclast model.
A prognostic risk model based on five m6A- and autophagy-related long non-coding RNAs (LINC00847, UBL7-AS1, LINC01554, LINC00601, FAM222A-AS1) for esophageal squamous cell carcinoma (ESCC). The model was developed using transcriptomic data from The Cancer Genome Atlas (TCGA) and validated with independent data from the Gene Expression Omnibus (GEO). It was created by Mingyi Yang and last updated in May 2026.
A prognostic risk model based on five m6A- and autophagy-related long non-coding RNAs (LINC00847, UBL7-AS1, LINC01554, LINC00601, FAM222A-AS1) for predicting survival in esophageal squamous cell carcinoma. The dataset was created by Mingyi Yang and published on figshare under a CC-BY-4.0 license, with a last update timestamp of 2026-05-28. It integrates transcriptomic data from The Cancer Genome Atlas and Gene Expression Omnibus.
Transcriptomic data from The Cancer Genome Atlas and Gene Expression Omnibus were used to develop a prognostic model for esophageal squamous cell carcinoma. The model is based on five m6A- and autophagy-related long non-coding RNAs and includes analyses of survival, immune cell infiltration, and drug sensitivity. Author Mingyi Yang published the dataset under a CC-BY-4.0 license on figshare in May 2026.
Yu Wang's dataset on figshare, last updated 2026-05-28, contains transcriptomic and cellular assay data from an in vitro study of TP53-deficient B-cell acute lymphoblastic leukemia. The 1.8 MB DOCX file likely contains results from RNA-sequencing and co-culture assays comparing TP53-wildtype and TP53-knockout NALM-6 B-ALL cell models. The data explores the link between p53 loss, a low-adhesion gene signature, and accelerated CAR-T cell exhaustion.
Yu Wang's dataset contains transcriptomic data from an in vitro study of TP53-deficient B-ALL cells. The data likely includes RNA-seq profiles showing a low-adhesion signature and correlates with accelerated CAR-T cell exhaustion. The dataset was last updated on 2026-05-28 and is licensed under CC-BY-4.0.
A research data sheet from figshare, authored by Yuqiang Sun and last updated on 2026-05-28, describes findings on the dual role of the N4BP1 gene in periodontitis. The 16.9 KB document integrates single-cell RNA sequencing and Mendelian randomization analysis to identify a specific neutrophil subset and its interactions with epithelial cells. Key findings were validated using a murine ligature-induced periodontitis model and targeted modulation in human cells.
Plasma samples from 55 patients, comprising 35 with viral pneumonia and 20 with viral-associated pulmonary aspergillosis, were analyzed using proteomics and metabolomics. The integrated multi-omics analysis identified 1,930 proteins and 1,532 metabolites. The dataset was published by Xue Li on figshare under a CC-BY-4.0 license in May 2026.
35 patients with viral pneumonia and 20 with viral-associated pulmonary aspergillosis were profiled using proteomics and metabolomics. Xue Li published this dataset on figshare in 2026, identifying 1,930 proteins and 1,532 metabolites. The data reveals systemic inflammatory, immune, and metabolic alterations associated with the severe coinfection.
Ziad Alkouz's meta-analysis integrates eight public single-cell RNA sequencing studies on human keloid skin. The dataset comprises 487,293 cells from 147 samples across 112 donors, processed using scVI/scANVI and analyzed for differential abundance and gene expression. It was last updated on 2026-05-18.
An international consortium study presents the first qualitative exploration of cultural trauma scripts in Georgia. The dataset includes analysis from six focus groups with 18 total participants, including trauma experts and survivors, leading to the development of a 68-item Georgian Cultural Scripts of Trauma Inventory (GCSTI). The data was last updated on 2026-05-26 and is shared under a CC-BY-4.0 license.
A 15.6 KB DOCX file contains a research article describing the antitumor mechanism of niraparib in BRCA wild-type ovarian cancer. The study, authored by Po-Wu Liu and published on figshare under CC-BY-4.0, investigates how niraparib promotes ferroptosis by inhibiting TM4SF1 expression via ALKBH1-mediated 6mA DNA modification. The document was last updated on June 1, 2026.
46.1 KB of experimental results on the antitumor mechanism of niraparib in BRCA wild-type ovarian cancer models. The data, authored by Po-Wu Liu and last updated June 1, 2026, likely contains measurements of gene expression, 6mA modification levels, and ferroptosis markers from in vitro and in vivo assays.
A research dataset from a study investigating the antitumor mechanism of niraparib in BRCA wild-type ovarian cancer. The data likely contains results from assays measuring 6mA modification levels, TM4SF1 expression, and ferroptosis markers like Fe2+ and lipid ROS. The dataset was authored by Po-Wu Liu and last updated on June 1, 2026.
Data Sheet 1_Niraparib promotes ferroptosis by inhibiting TM4SF1 expression through ALKBH1-mediated 6mA modification in BRCA wild-type ovarian cancer.docx is a 936.1 KB document published on figshare under a CC-BY-4.0 license. The document, authored by Po-Wu Liu, details a study investigating the antitumor mechanisms of niraparib in BRCA wild-type ovarian cancer models, focusing on epigenetic regulation and ferroptosis. It was last updated on June 1, 2026.