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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "curatedBladderData" in publications use:'
type: software
license: Artistic-2.0
title: 'curatedBladderData: Bladder Cancer Gene Expression Analysis'
version: 1.48.0
doi: 10.1093/database/bat013
identifiers:
- type: doi
  value: 10.32614/CRAN.package.curatedBladderData
abstract: The curatedBladderData package provides relevant functions and data for
  gene expression analysis in patients with bladder cancer.
authors:
- family-names: Riester
  given-names: Markus
  email: markus@jimmy.harvard.edu
preferred-citation:
  type: article
  title: 'curatedOvarianData: Clinically Annotated Data for the Ovarian Cancer Transcriptome'
  authors:
  - family-names: Ganzfried
    given-names: Benjamin Frederick
  - family-names: Riester
    given-names: Markus
    email: markus@jimmy.harvard.edu
  - family-names: Haibe-Kains
    given-names: Benjamin
  - family-names: Risch
    given-names: Thomas
  - family-names: Tyekucheva
    given-names: Svitlana
  - family-names: Jazic
    given-names: Ina
  - family-names: Wang
    given-names: Xin Victoria
  - family-names: Ahmadifar
    given-names: Mahnaz
  - family-names: Birrer
    given-names: Michael
  - family-names: Parmigiani
    given-names: Giovanni
  - family-names: Huttenhower
    given-names: Curtis
  - family-names: Waldron
    given-names: Levi
  volume: '2013'
  year: '2013'
  doi: 10.1093/database/bat013
  abstract: 'This article introduces a manually curated data collection for gene expression
    meta-analysis of patients with ovarian cancer and software for reproducible preparation
    of similar databases. This resource provides uniformly prepared microarray data
    for 2970 patients from 23 studies with curated and documented clinical metadata.
    It allows users to efficiently identify studies and patient subgroups of interest
    for analysis and to perform meta-analysis immediately without the challenges posed
    by harmonizing heterogeneous microarray technologies, study designs, expression
    data processing methods and clinical data formats. We confirm that the recently
    proposed biomarker CXCL12 is associated with patient survival, independently of
    stage and optimal surgical debulking, which was possible only through meta-analysis
    owing to insufficient sample sizes of the individual studies. The database is
    implemented as the curatedOvarianData Bioconductor package for the R statistical
    computing language, providing a comprehensive and flexible resource for clinically
    oriented investigation of the ovarian cancer transcriptome. The package and pipeline
    for producing it are available from http://bcb.dfci.harvard.edu/ovariancancer.Database
    URL: http://bcb.dfci.harvard.edu/ovariancancer'
  url: http://database.oxfordjournals.org/content/2013/bat013.abstract
  journal: Database
repository: https://bioconductor.org/
repository-code: https://github.com/lima1/curatedBladderData
commit: a3fbd871668caec11ea2e2033cd56d2b08eea30b
url: https://github.com/lima1/curatedBladderData
date-released: '2019-03-28'
contact:
- family-names: Riester
  given-names: Markus
  email: markus@jimmy.harvard.edu