Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Gene expression-based, individualized diagnostic GC/ABC prediction for relapse/refractory diffuse large B cell lymphoma (DLBCL)

ABSTRACT: Individualized diagnosis prediction classifiers were successfully constructed through expression profiling of a total of 8,644 genes in 49 patients with relapse/refractory diffuse large B cell lymphoma, prospectively treated in a randomized trial. keyword(s): Diagnosis prediction

ORGANISM(S): Homo sapiens

PROVIDER: GSE26812 | GEO | 2011/09/29

SECONDARY ACCESSION(S): PRJNA135899

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Gene expression-based, individualized diagnostic GC/ABC prediction for relapse/refractory diffuse large B cell lymphoma (DLBCL)

Project description:Individualized diagnosis prediction classifiers were successfully constructed through expression profiling of a total of 8,644 genes in 49 patients with relapse/refractory diffuse large B cell lymphoma, prospectively treated in a randomized trial. keyword(s): Diagnosis prediction All lymphoma cases were predicted as belonging either to germical center B-cell like DLBCL or activated B cell like DLBCL based on the expression of a set of 54 genes (140 probes).

2011-09-28 | E-GEOD-26812 | biostudies-arrayexpress

ncRNA expression-based, individualized outcome prediction for CRC patients

Project description:Individualized outcome prediction classifiers were successfully constructed through expression profiling of ncRNAs in 165 CRC cases.

2016-12-28 | GSE92928 | GEO

Gene expression-based, individualized cancer progression outcome prediction for S61 stable transfectants

Project description:Individualized outcome prediction classifiers were successfully constructed through expression profiling in stable transfectants

2016-04-26 | GSE80641 | GEO

Gene silenced-based, individualized cancer progression outcome prediction for shATMIN stable transfectants

Project description:Individualized outcome prediction classifiers were successfully constructed through expression profiling in stable transfectants

2019-05-25 | GSE81866 | GEO

Gene expression-based, individualized outcome prediction for RUNX1T1 Knock-down treated ECFCs

Project description:Individualized outcome prediction classifiers were successfully constructed through expression profiling of RUNX1T1 mediated.

2017-08-17 | GSE86594 | GEO

Gene expression-based, individualized outcome prediction for autism

Project description:Individualized outcome prediction classifiers were successfully constructed through expression profiling of 91 up-regulated and 67 down-regulated miRNAs in 5 autism spectrum disorder (ASD) cases and 5 controls.

2015-04-17 | GSE67979 | GEO

MiRNA-expression based, individualized outcome prediction for the cardiovascular disease patients

2014-05-04 | GSE53675 | GEO

Gene expression-based, individualized outcome prediction for surgically treated pancreatic cancer patients

Project description:Individualized outcome prediction classifiers were successfully constructed through expression profiling of a total of 8,644 genes in 20 pancreatic cancer cases, which had been consecutively operated.

2024-11-02 | GSE246880 | GEO

miRNA expression-based, individualized outcome prediction for SDT treatment in melanoma

Project description:Individualized outcome prediction classifiers were successfully constructed through expression profiling of a total of 3100 capture probes, covering all human, mouse and rat microRNAs annotated in miRBase 18.0, in 8 melanoma samples divided into 4 groups (Control, ALA, US, and SDT group).

2015-01-29 | GSE65390 | GEO

MiRNA-expression based, individualized outcome prediction for the cardiovascular disease patients

Project description:Individualized outcome prediction classifiers were successfully constructed through expression profiling of a total of 2,500 miRNAs in 13 cardiovascular disease patients and 5 healthy controls In the study presented here, a well-defined cohort of 13 cardiovascular disease cases and 5 healthy controls was used to acquire expression profiles of a total of 2,500 unique genes.

2014-05-04 | E-GEOD-53675 | biostudies-arrayexpress

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