cid c989be36461a184a9484b47fa8f3f76b1ca8129b4aeb8c4c0a4b764520cc4c22 · original · open access · via openalex
Title: Koussounadis2014: gene expression and relative ovarian xenograft tumor volume Authors: Antonis Koussounadis; Simon P. Langdon; David J. Harrison; V. Anne Smith Venue: Zenodo (CERN European Organization for Nuclear Research) Year: 2026 Canonical: doi:10.5281/zenodo.23468639 URL: https://doi.org/10.5281/zenodo.23468639 Collector: openalex OA: true ABSTRACT Portable preparation of the original GSE49577 ovarian cancer xenograft data deposited by Koussounadis and colleagues at NCBI GEO. Contains 101 samples, 34,694 expression predictors formed by averaging probes with the same GPL10558 ILMN_Gene label, and regression response y = log2(relative tumor volume). The CSV retains GEO sample accessions, original tumor identifiers, treatment, day, cancer model, and untransformed RTV as metadata excluded from model features. It preserves submitted expression precision and historical feature labels, with no additional normalization, filtering, imputation, or annotation repair. Original processed expression data, phenodata, and platform identifiers supply all preparation inputs. Iowa Biostatistics provides a comparison reference only. Includes data.csv.gz, README.md, four reproduction and verification scripts, provenance.json, and a scoped MIT license for code and documentation. The scripts require the Datamonger repository and its devenv environment. Data are distributed on the basis of GEO source terms, with the qualifications described in README.md. This deposit does not imply authorship or ownership of the original measurements by Datamonger. Original study: Koussounadis A, Langdon SP, Harrison DJ, and Smith VA (2014), British Journal of Cancer 110:2975-2984, doi:10.1038/bjc.2014.258. Original data: GSE49577; platform: GPL10558.