Browse
Submit Data
Databases
API
Help

Dataset Information

25 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

A clinical trial to verify the safety and effectiveness of the lower gastrointestinal endoscopic imaging-assisted diagnosis software

ABSTRACT: Interventions: Gold Standard:Expert polyp recognition results;Index test:Experimental group: lower gastrointestinal endoscopy imaging-assisted diagnosis software; Control group: doctor identification. Primary outcome(s): sensitivity;Specificity Study Design: Parallel

DISEASE(S): Colorectal Cancer

PROVIDER: 2702167 | ecrin-mdr-crc |

REPOSITORIES: ECRIN MDR

ACCESS DATA

Json Xml

Similar Datasets

Human 13 gene mutation analysis software complements clinical trials

Project description:Interventions: Gold Standard:Comparison methods : 1. comparison of similar kits; 2. Sequencing method.;Index test:Product name: Human 13 gene mutation analysis software; Manufacturer: Guangzhou Flancite Medical Laboratory Co., LTD. Model: BRTMAS - 1 Primary outcome(s): Lung and gastrointestinal tumor genes;Positive coincidence rate, negative coincidence rate and total coincidence rate;consistency Study Design: Factorial

| 2696279 | ecrin-mdr-crc

16S Sequencing in woman subjected to Assisted Reproductive Technologies

Project description:We performed a 16S sequencing analysis on Cervical Swab of women undergoing Assisted Reproductive Technologies

2023-11-17 | E-MTAB-11151 | biostudies-arrayexpress

Study for genome-assisted Magnaporthe genetics

Project description:Study for genome-assisted Magnaporthe genetics

| PRJEB53625 | ENA

Identifying METTL5-bound RNA by crosslinking-assisted immunoprecipitation

Project description:To identify the substrates of METTL5, we used crosslinking-assisted immunoprecipitation of overexpressed, FLAG-METTL5 followed by high throughput sequencing.

2021-05-14 | GSE174435 | GEO

ENCoRE: a lightweight software for CRISPR screens identifies new players in apoptosis

Project description:As CRISPR/Cas9 mediated screens with pooled sgRNA libraries in somatic cells become increasingly established, an unmet need for rapid and accurate companion informatics tools has emerged. We have developed a lightweight standalone software to easily manipulate raw large next generation sequencing (NGS) datasets derived from such screens into informative relational context with graphical support. We demonstrate the capabilities of the software to interrogate meaningful results from an in vitro viability screen using Tumor Necrosis Factor-alpha (TNFa). The results not only identified stereotypical players in extrinsic apoptotic signaling but two as yet uncharacterized members of the apoptotic cascade, Smg7 and Ces2a. We further characterized cell lines containing mutations in these genes against a panel of cell death stimuli. In summary, this software enables bench scientists without access to informatic cores to rapidly access and interpret results from large scale experiments resulting from CRISPR/Cas9 library screens.

2017-10-19 | GSE89994 | GEO

The g3mclass is a practical software for multiclass classification on biomarkers

Project description:The analytes qualified as biomarkers are potent tools to diagnose various diseases, monitor therapy responses, and design therapeutic interventions. The early assessment of the diverseness of human disease is essential for the speedy and cost-efficient implementation of personalized medicine. We developed g3mclass, the Gaussian mixture modeling software for molecular assay data classification. This software automates the validated multiclass classifier applicable to single analyte tests and multiplexing assays. The g3mclass achieves automation using the original semi-constrained expectation-maximization (EM) algorithm that allows inference from the test, control, and query data that human experts cannot interpret. In this study, we used real-world clinical data and gene expression datasets (ERBB2, ESR1, PGR) to provide examples of how g3mclass may help overcome the problems of over-/underdiagnosis and equivocal results in diagnostic tests for breast cancer. We showed the g3mclass output’s accuracy, robustness, scalability, and interpretability. The user-friendly interface and free dissemination of this multi-platform software aim to ease its use by research laboratories, biomedical pharma, companion diagnostic developers, and healthcare regulators. Furthermore, the g3mclass automatic extracting information through probabilistic modeling is adaptable for blending with machine learning and artificial intelligence.

2022-11-09 | GSE214540 | GEO

Raw microarray derived data for evaluation of a feature and template-assisted assembler for the analysis of foot-and-mouth disease virus by sequence assembly

Project description:Here we describe a custom FMDV microarray and a companion feature and template-assisted assembler software (FAT-assembler) capable of resolving virus genome sequence using a moderate number of conserved microarray features. The results demonstrate that this approach may be used to rapidly characterize naturally occurring FMDV as well as an engineered chimeric strain of FMDV. The FAT-assembler, while applied to resolving FMDV genomes, represents a new bioinformatics approach that should be broadly applicable to interpreting microarray genotyping data for other viruses or target organisms

2016-11-10 | GSE89283 | GEO

DREAM-seq, an endonucleases-assisted mapping of R-loops: MCF-7

Project description:DREAM-seq, an endonucleases-assisted mapping of R-loops: MCF-7

2021-02-09 | GSE110477 | GEO

Exonuclease-assisted identification of pseudouridine sites in single-stranded RNA

Project description:Pseudouridine is considered as the most abundant modified nucleotides in RNA, playing an indispensable role in various life processes. The identification of pseudouridine sites provides the basis for the study of their function. Here, we proposed a new method for the identification of pseudouridine sites with a higher signal-to-noise ratio, combining CMC-specific labeling of pseudouridine sites and exonuclease-assisted strategy. We called this method exonuclease-assisted identification of pseudouridine sites (EAIPS).

2024-11-06 | GSE229317 | GEO

Different Training methods on Accuracy of Predicting Conlorectal Lesions and Selection of Interventions by trainees: multicenter, randomized, controlled trial

Project description:Interventions: Gold Standard:Pathological examination; Senior endoscope doctor;Index test:Primary endoscope doctor by different training methods Primary outcome(s): NPV Study Design: Parallel

| 2692245 | ecrin-mdr-crc

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data