dorsal/arxiv
View SchemaReliably determining which genes have a high posterior probability of differential expression: A microarray application of decision-theoretic multiple testing
| Authors | David R. Bickel |
|---|---|
| Categories | |
| ArXiv ID | q-bio/0402048 |
| URL | https://arxiv.org/abs/q-bio/0402048 |
Abstract
Microarray data are often used to determine which genes are differentially expressed between groups, for example, between treatment and control groups. There are methods of determining which genes have a high probability of differential expression, but those methods depend on the estimation of probability densities. Theoretical results have shown such estimation to be unreliable when high-probability genes are identified. The genes that are probably differentially expressed can be found using decision theory instead of density estimation. Simulations show that the proposed decision-theoretic method is much more reliable than a density-estimation method. The proposed method is used to determine which genes to consider differentially expressed between patients with different types of cancer. The proposed method determines which genes have a high probability of differential expression. It can be applied to data sets that have replicate microarrays in each of two or more groups of patients or experiments.
{
"annotation_id": "0f9bfcc5-1c51-4024-a086-4aa30e1755fa",
"date_created": "2026-03-02T18:01:32.241000Z",
"date_modified": "2026-03-02T18:01:32.241000Z",
"file_hash": "af2e07f86ac74d5a7e8a40a2be473710c707fd94db5197a51adc5e4496cd64bc",
"private": false,
"record": {
"abstract": "Microarray data are often used to determine which genes are differentially\nexpressed between groups, for example, between treatment and control groups.\nThere are methods of determining which genes have a high probability of\ndifferential expression, but those methods depend on the estimation of\nprobability densities. Theoretical results have shown such estimation to be\nunreliable when high-probability genes are identified.\n The genes that are probably differentially expressed can be found using\ndecision theory instead of density estimation. Simulations show that the\nproposed decision-theoretic method is much more reliable than a\ndensity-estimation method. The proposed method is used to determine which genes\nto consider differentially expressed between patients with different types of\ncancer.\n The proposed method determines which genes have a high probability of\ndifferential expression. It can be applied to data sets that have replicate\nmicroarrays in each of two or more groups of patients or experiments.",
"arxiv_id": "q-bio/0402048",
"authors": [
"David R. Bickel"
],
"categories": [
"q-bio.QM",
"q-bio.MN"
],
"title": "Reliably determining which genes have a high posterior probability of differential expression: A microarray application of decision-theoretic multiple testing",
"url": "https://arxiv.org/abs/q-bio/0402048"
},
"schema_id": "dorsal/arxiv",
"source": {
"execution_id": "6fd26599-1e87-427b-9557-f82d714ec5ac",
"id": "arXiv Dataset IDs",
"type": "Model",
"variant": "snapshot-2026-03-01",
"version": "0.1.0"
},
"user_id": 1000002
}