Data files

154 Data files visible to you, out of a total of 158
No description specified

Creator: René Hänsel

Contributor: René Hänsel

Data file type: Clinical Data

No description specified

Creator: René Hänsel

Contributor: René Hänsel

Data file type: Clinical Data

No description specified

Creator: René Hänsel

Contributor: René Hänsel

Data file type: Clinical Data

No description specified

Creator: René Hänsel

Contributor: René Hänsel

Data file type: Clinical Data

No description specified

Creator: René Hänsel

Contributor: René Hänsel

Data file type: Clinical Data

No description specified

Creators: None

Contributor: Christoph Beger

Data file type: Not specified

No description specified

Creator: Christoph Beger

Contributor: Christoph Beger

Data file type: Not specified

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)

Trial data of MInT

Creator: Marita Ziepert

Contributor: Christoph Beger

Data file type: Clinical Data

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)

MInT study result data as CIDISC ODM

Creator: Marita Ziepert

Contributor: Christoph Beger

Data file type: Not specified

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)

MInT trial data as SPSS file

Creator: Marita Ziepert

Contributor: Christoph Beger

Data file type: Clinical Data

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)

Creator: Marita Ziepert

Contributor: Christoph Beger

Data file type: Clinical Data

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)

This file contains the metadata of the MInT study formatted as CDISC ODM.

Creator: Marita Ziepert

Contributor: Christoph Beger

Data file type: Clinical Data

Based on the assumption that molecular mechanisms involved in cancerogenesis are characterized by groups of coordinately expressed genes, we developed and validated a novel method for analyzing transcriptional data called Correlated Gene Set Analysis (CGSA). Using 50 extracted gene sets we identified three different profiles of tumors in a cohort of 364 Diffuse large B-cell (DLBCL) and related mature aggressive B-cell lymphomas other than Burkitt lymphoma. The first profile had high level of
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Creator: Maciej Rosolowski

Contributor: Christoph Beger

Data file type: OMICs Data

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)

Trial data as Microsoft Excel file

Creator: Marita Ziepert

Contributor: Christoph Beger

Data file type: Clinical Data

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)

Trial data as CDISC ODM file

Creator: Marita Ziepert

Contributor: Christoph Beger

Data file type: Clinical Data

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)

Trial data as SPSS file

Creator: Marita Ziepert

Contributor: Christoph Beger

Data file type: Clinical Data

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)

Trial data as Microsoft Excel file

Creator: Marita Ziepert

Contributor: Christoph Beger

Data file type: Clinical Data

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)

Trial data as CDISC ODM file

Creator: Marita Ziepert

Contributor: Christoph Beger

Data file type: Clinical Data

Molecular profiling of cerebral gliomas distinguishes biologically distinct tumor groups and provides prognostically relevant information beyond histological classification and IDH1/2 mutation status. We performed Methylation profiling of primary tumor samples from 122 patients with cerebral gliomas with WHO grade II and grade III tumors.

Creator: Christoph Beger

Contributor: Christoph Beger

Data file type: OMICs Data

Molecular profiling of cerebral gliomas distinguishes biologically distinct tumor groups and provides prognostically relevant information beyond histological classification and IDH1/2 mutation status. We performed Methylation profiling of primary tumor samples from 122 patients with cerebral gliomas with WHO grade II and grade III tumors.

Creator: Christoph Beger

Contributor: Christoph Beger

Data file type: OMICs Data

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