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470
datasets available to search
ShareScore release 0.9.0
Dataset results
470 results for “prediction of disease”
State-transition Modeling of Blood Transcriptome Predicts Disease Evolution and Treatment Response in Chronic Myeloid Leukemia (CML)
GEO Series GSE244990. Mus musculus. 298 samples. Type: Expression profiling by high throughput sequencing.
Epigenomic Tensor Predicts Disease Subtypes and Reveals Constrained Tumor Evolution [RNA-seq_HOXA13 KD]
GEO Series GSE142331. Homo sapiens. 4 samples. Type: Expression profiling by high throughput sequencing.
Gene expression profiling identifies a gene signature that predicts progression to active tuberculosis several years before disease onset
GEO Series GSE112104. Homo sapiens. 51 samples. Type: Expression profiling by high throughput sequencing.
Predicting severity in COVID-19 disease using sepsis blood gene expression signatures
GEO Series GSE221234. Homo sapiens. 124 samples. Type: Expression profiling by high throughput sequencing.
Multipopulational transcriptome analysis of beef cattle at arrival to identify and further validate candidate biomarkers for predicting clinical bovine respiratory disease
GEO Series GSE161396. Bos taurus. 48 samples. Type: Expression profiling by high throughput sequencing.
Human midbrain dopaminergic neuronal differentiation markers predict cell therapy outcome in a Parkinson's disease model
GEO Series GSE204796. Homo sapiens. 9 samples. Type: Expression profiling by high throughput sequencing.
Protein sets define disease states and predict in vivo effects of drug treatment [heart]
GEO Series GSE38852. Mus musculus. 10 samples. Type: Expression profiling by array.
Predicting the evolution of metastatic disease in breast cancer: results from 50 years of autopsies
GEO Series GSE46826. Homo sapiens. 27 samples. Type: Genome variation profiling by genome tiling array.
A Th1-like CD4+ T-cell Cluster that Predicts Disease-free Survival in Early-Stage Lung Cancer
GEO Series GSE215219. Homo sapiens. 36 samples. Type: Expression profiling by high throughput sequencing.
Altered DNA Methylation and Gene expression predict Disease Severity in Patients with Aicardi-Goutières Syndrome
GEO Series GSE221644. Homo sapiens. 17 samples. Type: Methylation profiling by array.
microRNA Profile in Stage I Clear Cell Renal Cell Carcinoma Predicts Progression to Metastatic Disease [screen]
GEO Series GSE131959. Homo sapiens; synthetic construct. 20 samples. Type: Expression profiling by RT-PCR.
Gene expression predicts histological severity and reveals distinct molecular profiles of nonalcoholic fatty liver disease
GEO Series GSE130970. Homo sapiens. 78 samples. Type: Expression profiling by high throughput sequencing.
Whole blood transcriptomic analysis of beef cattle at arrival identifies potential predictive molecules and mechanisms that indicate animals that naturally resist bovine respiratory disease
GEO Series GSE136176. Bos taurus. 12 samples. Type: Expression profiling by high throughput sequencing.
Expression of CD94 and CD96 on CD8+ T cells early after allogeneic stem cell transplantation is predictive of subsequent disease relapse and survival
GEO Series GSE185498. Mus musculus; Homo sapiens; blank sample. 576 samples. Type: Expression profiling by high throughput sequencing.
Aberrant miR-29 is a predictive feature of severe phenotypes in pediatric Crohn’s disease
GEO Series GSE221261. Mus musculus; Homo sapiens. 21 samples. Type: Non-coding RNA profiling by high throughput sequencing; Expression profiling by high throughput sequencing.
Single-cell profiling of cutaneous T-cell lymphoma reveals underlying heterogeneity predicting with disease progression.
GEO Series GSE122703. Homo sapiens. 2 samples. Type: Expression profiling by high throughput sequencing.
The Peripheral Blood Transcriptome Predicts the Presence and Extent of Disease in Idiopathic Pulmonary Fibrosis
GEO Series GSE33566. Homo sapiens. 123 samples. Type: Expression profiling by array.
Epigenomic Tensor Predicts Disease Subtypes and Reveals Constrained Tumor Evolution [RNA-seq]
GEO Series GSE142329. Homo sapiens. 40 samples. Type: Expression profiling by high throughput sequencing.
A functional genomics predictive network model identifies regulators of inflammatory bowel disease: Ribo-zero RNAseq mouse distal colon DSS Colitis model of genetically engineered mice
GEO Series GSE83550. Mus musculus. 194 samples. Type: Expression profiling by high throughput sequencing.
Data from: Video-fluoroscopic swallowing study scale for predicting aspiration pneumonia in Parkinson's disease
Introduction A number of video-fluoroscopic swallowing study (VFSS) abnormalities have been reported in patients with Parkinson's disease (PD). However, the most crucial finding of subsequent aspiration pneumonia has not been validated fully. We conducted a retrospective and case-control study to determine the clinically significant VFSS findings in this population, and to propose a practical scale for predicting aspiration pneumonia in patients with PD. Methods We enrolled 184 PD patients who underwent VFSS because of suspected dysphagia. The patients who developed aspiration pneumonia within six months of the VFSS were assigned as cases and the patients without aspiration pneumonia at six months were designated as controls. Logistic regression analysis was performed to determine the prognostic VFSS features based on the data of swallowing 3 mL of jelly, which were used to make a PD VFSS scale (PDVFS). The validity of the new PDVFS was evaluated by ROC analysis. Additionally, we used the survival time analysis to compare time to death between groups, stratified by the PDVFS score. Results Twenty-five patients developed aspiration pneumonia. Among the previously-proposed VFSS features, mastication, lingual motility prior to transfer, aspiration, and total swallow time were identified as significant prognostic factors. We combined these factors to form the PDVFS. The PDVFS score ranges from 0 to 12, with 12 being the worst. ROC analysis revealed 92% sensitivity and 82% specificity at a cutoff point of 3. The higher PDVFS group showed shorter time-to-death than the lower PDVFS group (log rank P = 0.001). Conclusion Our newly developed VFSS severity scale (based on jelly swallowing) for patients with PD was easy to rate and could predict subsequent aspiration pneumonia and poor prognosis in patients with PD.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.