Expression data from human breast tumors and their paired normal tissues
Microarray is widely used to monitor gene expression changes in breast cancer. The transcriptomic changes in breast cancer is commonly occured during the transition of normal cells to cancerous cells. This is the first study on gene expression profiling of multi ethnic of Malaysian breast cancer patients (Malays, Chinese and Indian). We aim to identify differentially expressed genes between tumors and normal tissues. We have identified a set of 33 significant differentially expressed genes in th...
Provenance — who produced it, who reused it
Linked to 43 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.
- Actin stress fiber organization promotes cell stiffening and pro... 2017 · 182 cites
- Identifying dysregulated pathways in cancers from pathway intera... 2012 · 126 cites
- N6-methyladenosine-related Genomic Targets are Altered in Breast... 2019 · 99 cites
- The SIAH2-NRF1 axis spatially regulates tumor microenvironment r... 2019 · 92 cites
- Aconitase 2 inhibits the proliferation of MCF-7 cells promoting... 2019 · 73 cites
38 further papers cite this accession but reuse could not be confirmed.
Deep data QC
metadata only · no data-level QC for this typeStandardized, field-standard QC computed by touching the data — every metric states how it was obtained
No quantitative QC rubric exists for this data type yet, so it is deliberately left unscored — this is an honest "not applicable", not a poor rating.
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently
Scientific quality
Based on hands-on reproduction of the papers that use this dataset. A reproducible paper that stands on this data is positive evidence; a flagged one is a prompt to look closer — never a verdict on the dataset itself without the evidence.