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 outcome prediction for SAbR treated patients with primary RCC

ABSTRACT: Transcriptomic GSEA of the pre- and at 1-year post-radiation tumor cells shows changes in the apoptosis and cell senescence pathways

ORGANISM(S): Homo sapiens

PROVIDER: GSE214477 | GEO | 2022/10/04

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 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. In the study presented here, a well-defined cohort of 5 autism spectrum disorder cases and 5 controls was used to acquire expression profiles of 91 up-regulated and 67 down-regulated miRNAs, leading to the first global miRNA expression profile of ASD in China.

2015-04-17 | E-GEOD-67979 | biostudies-arrayexpress

Gene expression-based, individualized outcome prediction for autism

2015-04-17 | GSE67979 | GEO

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

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

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). In the study presented here, a consecutively operated, well-defined cohort of 8 melanoma cases was used to acquire miRNA expression profiles with Exiqon arrays based on miRBase 18.0.

2015-01-29 | E-GEOD-65390 | biostudies-arrayexpress

Gene expression-based, individualized outcome prediction for osteoporosis with vertebral fracture

Project description:This study aims to identify specific miRNAs profiles in osteoporotic patients with and without vertebral fractures. MiRNAs array analysis was performed on the plasma samples including a pool of 6 miRNA samples from osteoporotic patients with vertebral fractures, a pool of 6 miRNA samples from osteoporotic patients without fracture and another pool of 6 miRNA samples from nonosteoporotic patients to identify regulated miRNAs in the plasma.

2020-01-12 | GSE93883 | GEO

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

2015-01-29 | GSE65390 | GEO

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

2014-05-04 | GSE53675 | GEO

Gene expression-based, individualized outcome prediction for exposure of rat ovarian tissue

Project description:Hierarchical clustering of the dysregulated genes from ovary of SD rat in different groups were successfully constructed through expression profiling，which suggested large sets of differentially regulated genes in rat ovaries in response to TBT or BPA exposure, and the combined group had more regulated genes. Though these differential expression genes, we can see the differentiation of agents of TBT and BPA. And according to these genes, we could farther study these related pathways to the PCOS. Using the selection criteria (FC ≥ 2, p ≤ 0.05), 86 up-regulated genes and 71 down-regulated genes were identified in the TBT100 group. In the BPA50 group, 45 up-regulated genes and 95 down-regulated genes were identified using the same criteria. The TBT+BPA group had 258 up-regulated genes and 234 down-regulated genes.

2019-12-25 | GSE108499 | 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

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