Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
1,943
datasets available to search
ShareScore release 0.9.0
Dataset results
1,943 results for “machine learning”
Deep and accurate detection of m6A RNA modifications in human and mouse cells using miCLIP2 and m6Aboost machine learning [b]
GEO Series GSE163492. Homo sapiens. 4 samples. Type: Other.
SenPred: A single-cell RNA sequencing-based machine learning pipeline to classify deeply senescent dermal fibroblast cells for the detection of an in vivo senescent cell burden
GEO Series GSE282425. Homo sapiens. 4 samples. Type: Expression profiling by high throughput sequencing.
A Multi-Omics Interpretable Machine Learning Model Reveals Modes of Action of Small Molecules
GEO Series GSE129144. Mus musculus. 54 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Analysis of the Drosophila and Human DPR Elements Reveals a Distinct Human Variant Whose Specificity Can Be Enhanced by Machine Learning
GEO Series GSE225570. Drosophila melanogaster. 2 samples. Type: Expression profiling by high throughput sequencing.
Chromatin Interaction Neural Network (ChINN): A machine learning-based method for predicting chromatin interactions from DNA sequences
GEO Series GSE163896. Homo sapiens. 18 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing; Other.
Signatures of GVHD and Relapse after Post-Transplant Cyclophosphamide Revealed by Immune Profiling and Machine Learning [15065R]
GEO Series GSE182610. Homo sapiens. 37 samples. Type: Expression profiling by high throughput sequencing.
Revealing the Grammar of Small RNA Secretion Using Interpretable Machine Learning III
GEO Series GSE230010. Homo sapiens. 3 samples. Type: Other.
Predicting gene level sensitivity to JAK-STAT signaling perturbation using a mechanistic-to-machine learning framework I
GEO Series GSE231343. Mus musculus. 40 samples. Type: Expression profiling by high throughput sequencing.
Machine learning identifies activation of RUNX/AP-1 as drivers of mesenchymal and fibrotic regulatory programs in gastric cancer
GEO Series GSE264550. Homo sapiens. 25 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Subgrouping Germinal Center-Derived B-Cell Lymphomas based on Machine Learning-deduced DNA Methylation Modules
GEO Series GSE276853. Homo sapiens. 177 samples. Type: Methylation profiling by genome tiling array.
Machine Learning Classification of Peripheral Blood Gene Expression Identifies at Baseline Subsets of Patients with Systemic Sclerosis Most Likely to Show Clinical Improvement in Response to Autologou
GEO Series GSE134310. Homo sapiens. 229 samples. Type: Expression profiling by array.
Identification of immune-related genes and small-molecule drugs in hypertension-induced left ventricular hypertrophy based on machine learning algorithms and molecular docking
GEO Series GSE261273. Mus musculus. 24 samples. Type: Expression profiling by high throughput sequencing.
A Machine Learning Classifier for Assigning Individual Patients with Systemic Sclerosis to Intrinsic Molecular Subsets
GEO Series GSE125362. Homo sapiens. 12 samples. Type: Expression profiling by array.
Machine learning-optimized targeted detection of alternative splicing
GEO Series GSE246294. Homo sapiens. 21 samples. Type: Other.
Revealing the Grammar of Small RNA Secretion Using Interpretable Machine Learning I
GEO Series GSE230006. Homo sapiens. 16 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Radiogenomics of glioblastoma: Machine-learning based classification of molecular characteristics using multiparametric and multiregional MRI features
GEO Series GSE85539. Homo sapiens. 152 samples. Type: Methylation profiling by array.
Model-to-crop conserved NUE Regulons enhance machine learning predictions of nitrogen use efficiency
GEO Series GSE280343. Zea mays. 2 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Global transcriptional profiles of hiPSC-derived hypothalamus-pituitary organoids predicted to fail or succeed by machine learning model
GEO Series GSE301692. Homo sapiens. 16 samples. Type: Expression profiling by high throughput sequencing.
Prediction of Breast Cancer Estrogen Receptor Status using Machine Learning
GEO Series GSE29210. Homo sapiens. 199 samples. Type: Expression profiling by array.
Interpretable machine learning uncovers epithelial transcriptional rewiring and a role for Gelsolin in COPD
GEO Series GSE277533. Mus musculus. 8 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.