{"title":"制作微阵列跨平台相关性的注意事项","authors":"M. Kollegal, S. Adak, R. Shippy, T. Sendera","doi":"10.1109/CSBW.2005.44","DOIUrl":null,"url":null,"abstract":"Comparison and integration of expression data derived from diverse microarray platforms is challenging. Factors affecting cross-platform comparison of microarray data include the choice of normalization method used, annotation differences, presence of splice variants, RNA degradation and probe distance from 3' end. A thorough evaluation of two commercial microarray platforms to determine an appropriate methodology for making cross-platform correlations is described here.","PeriodicalId":123531,"journal":{"name":"2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05)","volume":"49 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Considerations in making microarray cross-platform correlations\",\"authors\":\"M. Kollegal, S. Adak, R. Shippy, T. Sendera\",\"doi\":\"10.1109/CSBW.2005.44\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Comparison and integration of expression data derived from diverse microarray platforms is challenging. Factors affecting cross-platform comparison of microarray data include the choice of normalization method used, annotation differences, presence of splice variants, RNA degradation and probe distance from 3' end. A thorough evaluation of two commercial microarray platforms to determine an appropriate methodology for making cross-platform correlations is described here.\",\"PeriodicalId\":123531,\"journal\":{\"name\":\"2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05)\",\"volume\":\"49 2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-08-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSBW.2005.44\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSBW.2005.44","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Considerations in making microarray cross-platform correlations
Comparison and integration of expression data derived from diverse microarray platforms is challenging. Factors affecting cross-platform comparison of microarray data include the choice of normalization method used, annotation differences, presence of splice variants, RNA degradation and probe distance from 3' end. A thorough evaluation of two commercial microarray platforms to determine an appropriate methodology for making cross-platform correlations is described here.