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103 results for “regression modeling”

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ClinicalTrials.gov24/100

Development and Validation of the Prediction Model for Functional Mitral Regurgitation Regression in Heart Failure Patients Taking Guideline-directed Medical Therapy

ClinicalTrials.gov study NCT06278727. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

Partial Least Squares Regression Modelling for Glaucoma Detection

ClinicalTrials.gov study NCT03365245. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

Predicting Intraocular Lens Tilt Using OCT Measurements and Partial Least Squares Regression Modelling

ClinicalTrials.gov study NCT06305338. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

Antilipidemic Ezetimibe Induces Regression of Endometriotic Explants in a Rat Model of Endometriosis

ClinicalTrials.gov study NCT04844996. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

RadioPathomics Artificial Intelligence Model to Predict Tumor Regression Grading in Locally Advanced Rectal Cancer

ClinicalTrials.gov study NCT04273451. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

Predicting Lens Tilt Using Optical Coherence Tomography and Partial Least Squares Regression Modelling

ClinicalTrials.gov study NCT05915429. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

Non-Invasive Model for Fibrosis Regression in HBV Patients

ClinicalTrials.gov study NCT06874127. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

Contrast Between Traditional Regression Model and AI in Predicting Prolonged Stay Stay After Head and Neck Tumors

ClinicalTrials.gov study NCT06570486. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
geo24/100

Spontaneous tumor regression mediated by human T cells in a humanized immune system mouse model

GEO Series GSE226662. Mus musculus. 44 samples. Type: Expression profiling by high throughput sequencing; Other.

openGEO-OpenMar 2023View details →
geo24/100

Dementia subtype prediction models constructed by penalized regression methods for multiclass classification using serum microRNA expression data

GEO Series GSE167559. Homo sapiens. 84 samples. Type: Expression profiling by array.

openGEO-OpenOct 2021View details →
dryad24/100

Fitting Dynamic Regression Models to Seshat Data - Supplemental Material

Open the record for dataset details and reuse information.

publicJun 2018View details →
geo24/100

Chrom-Lasso:A lasso regression-based model to detect functional chromatin interactions using Hi-C data

GEO Series GSE158375. Mus musculus. 16 samples. Type: Expression profiling by high throughput sequencing; Other.

openGEO-OpenNov 2020View details →
geo20/100

The combination of RMC4550 (SHP2 inhibitor) and LY3214996 (ERK inhibitor) effectively impairs tumor growth and induces tumor regression in multiplein vivo models of PDAC

GEO Series GSE213706. Mus musculus; Homo sapiens. 10 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenNov 2022View details →
geo20/100

Expression data from mouse model of plaque regression

GEO Series GSE24819. Mus musculus. 22 samples. Type: Expression profiling by array.

openGEO-OpenOct 2011View details →
geo20/100

Cdk4-inhibitor induces tumor regression of Bladder cancer in vivo using a metastatic mouse model

GEO Series GSE100716. Mus musculus. 20 samples. Type: Expression profiling by array.

openGEO-OpenOct 2018View details →
geo20/100

A novel irreversible TEAD inhibitor, SWTX-143, blocks the Hippo pathway and causes tumor regression in preclinical mesothelioma models

GEO Series GSE222963. Homo sapiens. 36 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenOct 2023View details →
zenodo20/100

Synthetic Datasets from the Article titled Privacy-preserving Ground-truth Data for Evaluating Additive Feature Attribution in Regression Models with Additive CBR and CQV

<p>Synthetic datasets were generated as benchmarks capturing the intrinsic characteristics of original data to investigate the performance of additive feature attribution methods for regression tasks. The synthetic datasets were generated based on 2, 6 and 8 clusters formed with the original data. The 6-cluster dataset was used for primary analysis and the other two were used for sensitivity analysis.</p><p>The synthetic dataset was generated from the original data acquired from <a href="https://www.eurocontrol.int/dashboard/rnd-data-archive">Aviation Data for Research Repository</a>, which was collected and processed by <a href="https://www.eurocontrol.int/">EUROCONTROL</a> from the Enhanced Tactical Flow Management System (ETFMS) flight data messages containing all flights in Europe throughout the year 2019, from May to October. The original dataset consisted of fundamental details of the flights, flight status, preceding flight legs, ATFM regulations, weather conditions, calendar information, etc.&nbsp;</p><p>A brief description of the columns in the synthetic data files is presented in the file 'data_description.pdf' and a more detailed discussion on features can be found in the works of Koolen and Coliban [1] and Dalmau et al. [2].</p><p>&nbsp;</p><p><strong>References</strong><br>[1] &nbsp;H. Koolen and I. Coliban, <a href="https://www.eurocontrol.int/sites/default/files/2020-06/flight-progress-msg-update-230620.pdf">Flight Progress Messages Document</a>, EUROCONTROL, Brussels, Belgium, Tech. Rep., 2020.<br>[2] &nbsp;R. Dalmau, F. Ballerini, H. Naessens, S. Belkoura, and S. Wangnick, <a href="https://www.sciencedirect.com/science/article/pii/S0969699721000739">An Explainable Machine Learning Approach to Improve Take-off Time Predictions</a>, Journal of Air Transport Management, vol. 95, p. 102 090, Aug. 2021. doi: 10.1016/j.jairtraman.2021.102090.</p><p><br>&nbsp;</p>

restrictedcc-by-4.0Nov 2023View details →
geo16/100

STING activation promotes robust immune response and NK cell- mediated tumor regression in glioblastoma models

GEO Series GSE206604. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJun 2022View details →
geo16/100

NK cells engineered with a IL-15/IL-15Rα complex and CD19-targeted CAR show in vitro expansion and tumor regression in a murine xenograft model of B-cell leukemia in vivo

GEO Series GSE234733. Homo sapiens. 16 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenAug 2023View details →
geo16/100

Predicting HMX bioavailability using microarray gene expression data and regression modeling

GEO Series GSE42866. Eisenia fetida. 120 samples. Type: Expression profiling by array.

openGEO-OpenAug 2013View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record