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2005 1
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2008 1
2011 1
2012 1
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2019 2
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Novel molecular subtypes of serous and endometrioid ovarian cancer linked to clinical outcome.
Tothill RW, Tinker AV, George J, Brown R, Fox SB, Lade S, Johnson DS, Trivett MK, Etemadmoghadam D, Locandro B, Traficante N, Fereday S, Hung JA, Chiew YE, Haviv I; Australian Ovarian Cancer Study Group, Gertig D, DeFazio A, Bowtell DD. Tothill RW, et al. Clin Cancer Res. 2008 Aug 15;14(16):5198-208. doi: 10.1158/1078-0432.CCR-08-0196. Clin Cancer Res. 2008. PMID: 18698038 Free article.
A semisupervised survival analysis of the array data was used to compare against unsupervised clustering results. RESULTS: Optimal clustering of array data identified six molecular subtypes. ...
A semisupervised survival analysis of the array data was used to compare against unsupervised clustering results. RESULTS: …
Individualized markers optimize class prediction of microarray data.
Pavlidis P, Poirazi P. Pavlidis P, et al. BMC Bioinformatics. 2006 Jul 14;7:345. doi: 10.1186/1471-2105-7-345. BMC Bioinformatics. 2006. PMID: 16842618 Free PMC article.
BACKGROUND: Identification of molecular markers for the classification of microarray data is a challenging task. ...Moreover, this approach can innately identify subgroups of samples within a given class which share common feature sets thus highlightin …
BACKGROUND: Identification of molecular markers for the classification of microarray data is a challenging task. ...Mor …
A strategy for high-dimensional multivariable analysis classifies childhood asthma phenotypes from genetic, immunological, and environmental factors.
Krautenbacher N, Flach N, Böck A, Laubhahn K, Laimighofer M, Theis FJ, Ankerst DP, Fuchs C, Schaub B. Krautenbacher N, et al. Allergy. 2019 Jul;74(7):1364-1373. doi: 10.1111/all.13745. Epub 2019 Mar 31. Allergy. 2019. PMID: 30737985 Free PMC article.
RESULTS: The optimal learning method was boosting based on all data sets, achieving an area underneath the receiver operating characteristic curve (AUC) for three classes of phenotypes of 0.81 (95%-confidence interval (CI): 0.65-0.94) using leave-one-out cros …
RESULTS: The optimal learning method was boosting based on all data sets, achieving an area underneath the receiver operating …
Accurate ethnicity prediction from placental DNA methylation data.
Yuan V, Price EM, Del Gobbo G, Mostafavi S, Cox B, Binder AM, Michels KB, Marsit C, Robinson WP. Yuan V, et al. Epigenetics Chromatin. 2019 Aug 9;12(1):51. doi: 10.1186/s13072-019-0296-3. Epigenetics Chromatin. 2019. PMID: 31399127 Free PMC article.
RESULTS: Data from 509 placental samples were used to develop PlaNET and show that it accurately predicts (accuracy = 0.938, kappa = 0.823) major classes of self-reported ethnicity/race (African: n = 58, Asian: n = 53, Caucasian: n = 389), and produces ethnic …
RESULTS: Data from 509 placental samples were used to develop PlaNET and show that it accurately predicts (accuracy = 0.938, k …
Survival marker genes of colorectal cancer derived from consistent transcriptomic profiling.
Martinez-Romero J, Bueno-Fortes S, Martín-Merino M, Ramirez de Molina A, De Las Rivas J. Martinez-Romero J, et al. BMC Genomics. 2018 Dec 11;19(Suppl 8):857. doi: 10.1186/s12864-018-5193-9. BMC Genomics. 2018. PMID: 30537927 Free PMC article.
In colorectal cancer (CRC) the discovery of stable and consistent survival markers remains a challenge due to the high heterogeneity of this class of tumors. ...Finally, the set of top 100 genes that showed overexpression correlated with low survival was used to bui …
In colorectal cancer (CRC) the discovery of stable and consistent survival markers remains a challenge due to the high heterogeneity …
Predictors of primary breast cancers responsiveness to preoperative epirubicin/cyclophosphamide-based chemotherapy: translation of microarray data into clinically useful predictive signatures.
Modlich O, Prisack HB, Munnes M, Audretsch W, Bojar H. Modlich O, et al. J Transl Med. 2005 Aug 9;3:32. doi: 10.1186/1479-5876-3-32. J Transl Med. 2005. PMID: 16091131 Free PMC article.
Response ranged from pathologically confirmed complete remission (pCR), to partial remission (PR), to stable or progressive disease, "No Change" (NC). A primary analysis was performed in breast tissue samples from 56 patients and 5 normal healthy individuals as a tr …
Response ranged from pathologically confirmed complete remission (pCR), to partial remission (PR), to stable or progressive disease, "No Cha …
Breast cancer prognosis by combinatorial analysis of gene expression data.
Alexe G, Alexe S, Axelrod DE, Bonates TO, Lozina II, Reiss M, Hammer PL. Alexe G, et al. Breast Cancer Res. 2006;8(4):R41. doi: 10.1186/bcr1512. Breast Cancer Res. 2006. PMID: 16859500 Free PMC article.
INTRODUCTION: The potential of applying data analysis tools to microarray data for diagnosis and prognosis is illustrated on the recent breast cancer dataset of van 't Veer and coworkers. ...Moreover, the LAD model provides valuable insights into the r …
INTRODUCTION: The potential of applying data analysis tools to microarray data for diagnosis and prognosis is il …
A candidate molecular biomarker panel for the detection of bladder cancer.
Urquidi V, Goodison S, Cai Y, Sun Y, Rosser CJ. Urquidi V, et al. Cancer Epidemiol Biomarkers Prev. 2012 Dec;21(12):2149-58. doi: 10.1158/1055-9965.EPI-12-0428. Epub 2012 Oct 24. Cancer Epidemiol Biomarkers Prev. 2012. PMID: 23097579 Free PMC article.
METHODS: Gene expression profiling (Affymetrix U133 Plus 2.0 arrays) was applied to exfoliated urothelia obtained from a cohort of 92 subjects with known bladder disease status. Computational analyses identified candidate biomarkers of bladder cancer and an optimal
METHODS: Gene expression profiling (Affymetrix U133 Plus 2.0 arrays) was applied to exfoliated urothelia obtained from a cohort of 92 subjec …
A seven-gene prognostic model for platinum-treated ovarian carcinomas.
Sabatier R, Finetti P, Bonensea J, Jacquemier J, Adelaide J, Lambaudie E, Viens P, Birnbaum D, Bertucci F. Sabatier R, et al. Br J Cancer. 2011 Jul 12;105(2):304-11. doi: 10.1038/bjc.2011.219. Epub 2011 Jun 7. Br J Cancer. 2011. PMID: 21654678 Free PMC article.
By supervised analysis, we built a seven-gene optimal prognostic model (OPM) out of 94 genes identified as associated with progression-free survival. Using the OPM, we could classify patients in two groups with different overall survival (OS) not only in the learnin …
By supervised analysis, we built a seven-gene optimal prognostic model (OPM) out of 94 genes identified as associated with pro …