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ShareScore release 0.9.0
Dataset results
307 results for “Model combination”
Combining Large Language Models with Static Analyzers for Code Review Generation
Open the record for dataset details and reuse information.
Development and Prospective Validation of a Heterogeneous Treatment Effect-Based Decision Model for Transarterial Chemoembolization Combined With or Without Atezolizumab Plus Bevacizumab in Unresectab
ClinicalTrials.gov study NCT07109336. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Radiomics Combined With Frozen Section Prediction Model for Spread Through Air Space in Lung Adenocarcinoma
ClinicalTrials.gov study NCT05400304. IPD Sharing: Not stated. Countries: 0. Publications: 0.
ComBO: A combined human bone and lympho-myeloid bone marrow organoid for pre-clinical modelling of haematopoietic disorders
GEO Series GSE287648. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.
Dual AAV gene therapy in combination with rapamycin rescues muscle and liver impairment in a mouse model of GSDIII.
GEO Series GSE232166. Mus musculus. 36 samples. Type: Expression profiling by high throughput sequencing.
Modeling the next-generation of rhabdomyosarcoma organoids to predict effective drug combinations [methylation]
GEO Series GSE248182. Homo sapiens. 25 samples. Type: Methylation profiling by array.
Unexpected consequences of combined glucocerebrosidase and acid sphingomyelinase deficiency in a model of Parkinson’s disease
GEO Series GSE229995. Danio rerio. 16 samples. Type: Expression profiling by high throughput sequencing.
Combined PI3K/mTOR and MEK Inhibition Provides Broad Anti-Tumor Activity in Faithful Murine Cancer Models
GEO Series GSE35722. Mus musculus. 16 samples. Type: Expression profiling by array.
Combining Model-Based and Feature-Driven Diagnosis Approaches – A Case Study on Electromechanical Actuators
Model-based diagnosis typically uses analytical redundancy to compare predictions from a model against observations from the system being diagnosed. However this approach does not work very well when it is not feasible to create analytic relations describing all the observed data, e.g., for vibration data which is usually sampled at very high rates and requires very detailed finite element models to describe its behavior. In such cases, features (in time and frequency domains) that contain diagnostic information are extracted from the data. Since this is a computationally intensive process, it is not efficient to extract all the features all the time. In this paper we present an approach that combines the analytic model-based and feature-driven diagnosis approaches. The analytic approach is used to reduce the set of possible faults and then features are chosen to best distinguish among the remaining faults. We describe an implementation of this approach on the Flyable Electro-mechanical Actuator (FLEA) test bed.
A Combined Model-Based and Data-Driven Prognostic Approach for Aircraft System Life Management
Failure prognosis - as a natural extension to the fault detection and isolation (FDI) problem - has become a key issue in a world where the economic impact of system reliability and cost-effective operation of critical assets is steadily increasing. Failure prognostic algorithms aim to characterize the evolution of incipient fault conditions in complex dynamic processes, thus allowing to estimate of the remaining useful life (RUL) of subsystems and components. Several examples can be used here to illustrate the range of possible applications for these algorithms: electro-mechanical systems, continuous-time manufacturing processes, structural damage analysis, and even fault tolerant software architectures. Most of them have in common the fact that they are highly complex, nonlinear, and affected by large-grain uncertainty. We introduce in this chapter an integrated failure prognosis architecture that is applicable to a variety of aircraft systems and industrial processes. We are targeting a specific rotorcraft system as a prototypical testbed for proof-of-concept. The overall architecture consists of an on-board and an off-board module for eventual on-platformimplementation purposes.
Silmitasertib in combination with cabozantinib impairs liver cancer cell cycle progression, induces apoptosis and delays tumor growth in a preclinical model
GEO Series GSE277328. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
Combined immunotherapy potentiates CD8+ cytotoxic T-cell infiltration in a spontaneous mouse model of immune-excluded gastric cancer
GEO Series GSE164807. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing.
CITE-seq analysis of murine subcutaneos PDAC tumor models under pan-KRAS inhibitor and/or anti-PD1 treatment combinations
GEO Series GSE304231. Mus musculus. 9 samples. Type: Expression profiling by high throughput sequencing; Other.
Long‐term combination therapy with metformin and oxymetholone in a Fanconi anemia mouse model
GEO Series GSE266448. Mus musculus. 20 samples. Type: Expression profiling by high throughput sequencing.
A combined human gastruloid model of cardiogenesis and neurogenesis
GEO Series GSE194356. Homo sapiens. 2 samples. Type: Expression profiling by high throughput sequencing.
Caloric restriction combined with immobilization as translational model for sarcopenia expressing key-pathways of human pathology
GEO Series GSE213148. Mus musculus. 72 samples. Type: Expression profiling by high throughput sequencing.
Data set related to the article "An in vitro model for cardiac organoid production: the combined role of geometrical confinement and substrate stiffness"
<p>This record contains raw data related to the article "An in vitro model for cardiac organoid production: the combined role of geometrical confinement and substrate stiffness"</p>
Therapeutic benefit of rapamycin combined with clorgyline or rasagiline in an immunodeficient LAM model
GEO Series GSE129399. Rattus norvegicus. 8 samples. Type: Expression profiling by high throughput sequencing.
Effect of anti-mouse TNF and IL-6 antibodies as well as their combination in a collagen-induced arthritis mouse model
GEO Series GSE200292. Mus musculus. 56 samples. Type: Expression profiling by high throughput sequencing.
Effect of Combination Therapy with Anti-PD-1 Antibody and dasatinib on Liver Metastases in an Experimental Mouse Model
GEO Series GSE218603. Mus musculus. 5 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.