Corpus 1,272 assessed · 1,173 scored · 643 reproduced ≥75 · 168 flagged ·∅ 74.1/100
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GSE22762

GEO first seen 2016

An eight-gene expression signature for the prediction of survival and time to treatment in chronic lymphocytic leukemia

Organism
Homo sapiens
Samples
195
Type
Expression profiling by arra...
Submitted
2010-07-06

Chronic lymphocytic leukemia (CLL) is a common and heterogeneous disease. An accurate prediction of outcome is highly relevant for the development of personalized treatment strategies. Microarray technology was shown to be a useful tool for the development of prognostic gene expression scores. However, there are no gene expression scores which are able to predict overall survival in CLL based on the expression of few genes that are better than established prognostic markers. We correlated 151 CL...

Provenance — who produced it, who reused it

Linked to 21 papers in the literature. Roles are inferred factual signals (who deposited the data vs who reused it), with counts — never a judgement about any author.

Deposited / produced by
Tobias HeroldVindi JurinovicKlaus MetzelerAnne-Laure BoulesteixManuela BergmannTill SeilerMedhanie MulawSilvia ThoeneAnnika DufourZlatana PasalicMarkus SchmidbergerMichael SchmidtStephanie SchneiderPurvi KakadiaMichaela Feuring-BuskeJan BraessKarsten SpiekermannUlrich MansmannWolfgang HiddemannChristian BuskeStefan Bohlander
Reused by

18 further papers cite this accession but reuse could not be confirmed.

Deep data QC

metadata only · no data-level QC for this type

Standardized, field-standard QC computed by touching the data — every metric states how it was obtained

Data type / assay
microarray-expr
Organism
Homo sapiens
Read type
not sequencing
Files available
CEL
Metrics (value · how obtained)
supplementary file types CEL reported
QC cost 2 s compute

measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently