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528
datasets available to search
ShareScore release 0.9.0
Dataset results
528 results for “gene prediction”
Next Generation Sequencing of Transcriptomes of human cells expressing the human gene LY6S which is the TransMap and phylogeneticlly predicted homolog to murine Ly6a also known as T-cell Activating Pr
GEO Series GSE149845. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
Alzheimer disease diagnostic prediction using peripheral BMC gene expression
GEO Series GSE4229. Homo sapiens. 40 samples. Type: Expression profiling by array.
DeepWheat: Predicting the Effects of Genomic Variants on Gene Expression and Regulatory Activities Across Tissues and Varieties in Wheat Using Deep Learning [ATAC-seq]
GEO Series GSE287695. Triticum aestivum. 9 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Machine learning-based prediction of the activity and specificity of Cas9 variants in gene editing
GEO Series GSE231840. Homo sapiens. 64 samples. Type: Other.
Gene expression signature predicting post-relapse survival of myeloma patients identified by co-culture of myeloma cells with osteoclasts and osteoblast progenitors
GEO Series GSE31162. Homo sapiens. 1096 samples. Type: Expression profiling by array.
Expression of marker genes in the lymph nodes predicts the recurrence of squamous cell vulvar carcinoma.
GEO Series GSE28442. Homo sapiens. 8 samples. Type: Expression profiling by array.
An epithelial-mesenchymal transition (EMT) gene signature predicts resistance to erlotinib and PI3K pathway inhibitors and identifies Axl as a novel EMT marker in non-small cell lung cancer.
GEO Series GSE33072. Homo sapiens. 131 samples. Type: Expression profiling by array.
A TFAP2C Gene Signature is Predictive of Outcome in HER2 Breast Cancer (ChIP-Seq)
GEO Series GSE126897. Homo sapiens. 2 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
A Gene Expression Signature Predicts Survival of Patients with Stage I Non-Small Cell Lung Cancer
GEO Series GSE6253. Homo sapiens. 72 samples. Type: Expression profiling by array.
A dysfunctional T cell gene signature for predicting non-response to PD-1 blockade in non-small cell lung cancer that is suitable for routine clinical diagnostics
<p>Since PD-1 blockade is only effective in a minority of patients with advanced stage NSCLC, biomarkers are needed to guide treatment decisions. Tumor infiltration by PD-1T TILs, a dysfunctional tumor-infiltrating lymphocyte (TIL) pool with tumor-reactive capacity, can be detected by digital quantitative IHC and has been established as a novel predictive biomarker in NSCLC. To facilitate translation of this biomarker to the clinic, we here aimed to develop a robust RNA signature reflecting a tumor's PD-1T TIL status.,mRNA expression analysis using Nanostring was performed in baseline tumor samples from 41 advanced stage NSCLC patients treated with nivolumab that were selected based on PD-1T TIL infiltration by IHC. Samples were included as training cohort (n=41) to develop a predictive gene signature. This signature was independently validated in a second cohort (n=42). Primary outcome was disease control at 12 months (DC 12m) and secondary outcome was progression-free and overall survival. ,Regularized regression analysis yielded a signature using 12 out of 56 differentially expressed genes between PD-1T IHC high tumors from patients with DC 12m and PD-1T IHC low tumors from patients with progressive disease (PD). In the validation cohort 6/6 (100%) patients with DC 12m and 23/36 (64%) with PD were correctly classified with an NPV of 100% and a PPV of 32%.,The PD-1T mRNA signature showed a similar high sensitivity and high NPV as the digital IHC quantification of PD-1T TILs. This provides a straightforward approach allowing for easy implementation in a routine diagnostic clinical setting.</p>
Telomere-related gene risk model for prognosis and drug sen-sitivity prediction in colorectal cancer
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A Riskscore Model for Predicting Survival, Tumor Microenvironment, Immunotherapy and drug sensitivity of Lung Squamous Cell Carcinoma Based on PI3K/AKT/MTOR Pathway-Related Genes
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The subtype identification of colorectal cancer and construction of the risk model based on cholesterol synthesis-related genes to predict prognosis and guide immunotherapy
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Gene Expression in Predicting Outcome in Samples From Patients With High-Risk Neuroblastoma
ClinicalTrials.gov study NCT01520233. IPD Sharing: Not stated. Countries: 0. Publications: 0.
AI-Based DeepGEM Tool for Predicting Gene Mutations in NSCLC Patients: A Randomized Controlled Study
ClinicalTrials.gov study NCT07110259. IPD Sharing: NO. Countries: 0. Publications: 0.
Gene Expression in Predicting Response to Paclitaxel in Patients With Breast Cancer
ClinicalTrials.gov study NCT00898690. IPD Sharing: Not stated. Countries: 0. Publications: 0.
A Study to Predict Gefitinib' s Efficacy for Lung Cancer by Plasma Free Nucleic Acids EGFR Gene Mutation Test
ClinicalTrials.gov study NCT02738684. IPD Sharing: YES. Countries: 0. Publications: 0.
Gene Expression Profiles in Predicting Survival of Patients With Head and Neck Cancer
ClinicalTrials.gov study NCT00897052. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Genes in Predicting Outcome in Patients With Esophageal Cancer Treated With Cisplatin, Radiation Therapy, and Surgery
ClinicalTrials.gov study NCT00898495. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Intratumoral heterogeneity and longitudinal changes in gene expression predict differential drug sensitivity in newly diagnosed and recurrent glioblastoma
GEO Series GSE139533. Homo sapiens. 155 samples. Type: Expression profiling by high throughput sequencing.
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.