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58
datasets available to search
ShareScore release 0.9.0
Dataset results
58 results for “residual analysis”
Gene expression analysis of R1 mESCs stably expressing WT ESRRB and Ser 25A (the O-GlcNAc residue mutant) ESRRB
GEO Series GSE131246. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
Single Cell Minimal Residual Disease Analysis in Multiply Relapsed AML Patient
GEO Series GSE271629. Homo sapiens. 2 samples. Type: Genome variation profiling by high throughput sequencing; Other.
Single-cell RNAseq analysis (10X Genomics Chromium) of residual bronchoalveolar lavage fluids in healthy, fumer and COPD patients
GEO Series GSE183974. Homo sapiens. 9 samples. Type: Expression profiling by high throughput sequencing.
Evolution of CT Findings and Lung Residue in Patients with COVID-19 Pneumonia: Quantitative Analysis of the Disease with a Computer Automatic Tool
<p>We uploaded the database of the patients entrolled in the manuscript: Grassi, Roberto, Salvatore Cappabianca, Fabrizio Urraro, Vincenza Granata, Giuliana Giacobbe, Simona Magliocchetti, Diletta Cozzi, Roberta Fusco, Roberta Galdiero, Carmine Picone, Maria P. Belfiore, Alfonso Reginelli, Umberto Atripaldi, Ornella Picascia, Michele Coppola, Elio Bignardi, Roberta Grassi, and Vittorio Miele. 2021. "Evolution of CT Findings and Lung Residue in Patients with COVID-19 Pneumonia: Quantitative Analysis of the Disease with a Computer Automatic Tool" <em>Journal of Personalized Medicine</em> 11, no. 7: 641. https://doi.org/10.3390/jpm11070641</p>
Diagnosis of Multiple Cancer and Monitoring of Minimal Residual Tumors After Treatment Using Blood and High-Sensitivity Genetic Analysis Techniques
ClinicalTrials.gov study NCT07035587. IPD Sharing: YES. Countries: 1. Publications: 0.
T-cell Minimal Residual Disease (MRD) Evaluation Using Flow Cytometric Analysis
ClinicalTrials.gov study NCT01078337. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Analysis of Blood and Bone Marrow to Detect Residual Disease in Patients With Previously Treated Hairy Cell Leukemia
ClinicalTrials.gov study NCT00005619. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Residual Disease Evaluation of Resected NSCLC by cirDNA Analysis
ClinicalTrials.gov study NCT05165160. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Global Navigation Satellite System (GNSS) IGS Residuals Between Daily Analysis Center (AC) and Combined Final Station Position Solution Product from NASA CDDIS
This derived product set consists of Global Navigation Satellite System Final Combined Station Positions/Velocities Product Residuals available from the Crustal Dynamics Data Information System (CDDIS). GNSS provide autonomous geo-spatial positioning with global coverage. GNSS data sets from ground receivers at the CDDIS consist primarily of the data from the U.S. Global Positioning System (GPS) and the Russian GLObal NAvigation Satellite System (GLONASS). Since 2011, the CDDIS GNSS archive includes data from other GNSS (Europe’s Galileo, China’s Beidou, Japan’s Quasi-Zenith Satellite System/QZSS, the Indian Regional Navigation Satellite System/IRNSS, and worldwide Satellite Based Augmentation Systems/SBASs), which are similar to the U.S. GPS in terms of the satellite constellation, orbits, and signal structure. Analysis Centers (ACs) of the International GNSS Service (IGS) retrieve GNSS data on regular schedules to produce precise orbits identifying the position and velocity of the GNSS satellites as well as precise station positions and velocities for the network of GNSS receivers. The IGS Reference Frame Coordinator uses these individual AC solutions to generate the official IGS station position/velocity product. The final products are considered the most consistent and highest quality IGS solutions and consists of daily and weekly station position and velocity files in SINEX format, generated on a daily/weekly basis by combining solutions from individual IGS ACs, approximately 11-17 days after the end of the solution week. The final station position/velocities residual product consists of the residuals between the AC solutions and combined reference frame solution.
Global Navigation Satellite System (GNSS) IGS Final Station Position Residuals Between the Analysis Center (AC) Solutions and the Cumulative Combined Solution Product from NASA CDDIS
This derived product set consists of Global Navigation Satellite System Final Combined Station Positions/Velocities Product Residuals available from the Crustal Dynamics Data Information System (CDDIS). GNSS provide autonomous geo-spatial positioning with global coverage. GNSS data sets from ground receivers at the CDDIS consist primarily of the data from the U.S. Global Positioning System (GPS) and the Russian GLObal NAvigation Satellite System (GLONASS). Since 2011, the CDDIS GNSS archive includes data from other GNSS (Europe’s Galileo, China’s Beidou, Japan’s Quasi-Zenith Satellite System/QZSS, the Indian Regional Navigation Satellite System/IRNSS, and worldwide Satellite Based Augmentation Systems/SBASs), which are similar to the U.S. GPS in terms of the satellite constellation, orbits, and signal structure. Analysis Centers (ACs) of the International GNSS Service (IGS) retrieve GNSS data on regular schedules to produce precise orbits identifying the position and velocity of the GNSS satellites as well as precise station positions and velocities for the network of GNSS receivers. The IGS Reference Frame Coordinator uses these individual AC solutions to generate the official IGS station position/velocity product. The final products are considered the most consistent and highest quality IGS solutions and consists of daily and weekly station position and velocity files in SINEX format, generated on a weekly basis by combining solutions from individual IGS ACs, approximately 11-17 days after the end of the solution week. The final station position/velocities residual product consists of the residuals between the AC solutions and cumulative reference frame solution.
Global Navigation Satellite System (GNSS) IGS Final Station Positions Residuals (Between the Analysis Center Solutions and Reference Frame Solution) Product from NASA CDDIS
This derived product set consists of Global Navigation Satellite System Final Combined Station Positions/Velocities Product Residuals, between daily Analysis Center solutions and the current reference frame, available from the Crustal Dynamics Data Information System (CDDIS). GNSS provide autonomous geo-spatial positioning with global coverage. GNSS data sets from ground receivers at the CDDIS consist primarily of the data from the U.S. Global Positioning System (GPS) and the Russian GLObal NAvigation Satellite System (GLONASS). Since 2011, the CDDIS GNSS archive includes data from other GNSS (Europe’s Galileo, China’s Beidou, Japan’s Quasi-Zenith Satellite System/QZSS, the Indian Regional Navigation Satellite System/IRNSS, and worldwide Satellite Based Augmentation Systems/SBASs), which are similar to the U.S. GPS in terms of the satellite constellation, orbits, and signal structure. Analysis Centers (ACs) of the International GNSS Service (IGS) retrieve GNSS data on regular schedules to produce precise orbits identifying the position and velocity of the GNSS satellites as well as precise station positions and velocities for the network of GNSS receivers. The IGS Reference Frame Coordinator uses these individual AC solutions to generate the official IGS station position/velocity product. The final products are considered the most consistent and highest quality IGS solutions and consists of daily and weekly station position and velocity files in SINEX format, generated on a daily/weekly basis by combining solutions from individual IGS ACs, approximately 11-17 days after the end of the solution week. The final station position/velocities residual product consists of the residuals between the AC solutions and combined reference frame solution.
DNA binding analysis of rare variants in homeodomains reveals homeodomain specificity-determining residues
GEO Series GSE233827. Homo sapiens; synthetic construct. 122 samples. Type: Genome binding/occupancy profiling by array.
Phenotypic and genomic analysis of multiple myeloma minimal residual disease clonal plasma cells: a new model to understand chemoresistance [HuGene-1_0 Expression]
GEO Series GSE70398. Homo sapiens. 14 samples. Type: Expression profiling by array.
Genetic analysis of residual feed intake and its molecular pathways in coloured broiler chicken [duodenum]
GEO Series GSE116940. Gallus gallus. 4 samples. Type: Expression profiling by array.
Single-cell transcriptome analysis reveals effector CD8+ T cells may play an important role in residual chronic immune activation and inflammation in HIV-1 infected patients
GEO Series GSE254301. Homo sapiens. 2 samples. Type: Expression profiling by high throughput sequencing.
RNA-seq analysis in residual pancreatic β-cells of Bmal1KO/DTA mice following massive ablation
GEO Series GSE151338. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.
Genetic analysis of residual feed intake and its molecular pathways in coloured broiler chicken
GEO Series GSE116945. Gallus gallus. 8 samples. Type: Expression profiling by array.
Genetic analysis of residual feed intake and its molecular pathways in coloured broiler chicken [liver]
GEO Series GSE116932. Gallus gallus. 4 samples. Type: Expression profiling by array.
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.