1 / 1

Prediction of T-ALL Relapse Using Gene Expression Profiles and Support Vector Machine Analysis

This study explores the use of gene expression profiles as predictors of relapse in T-cell acute lymphoblastic leukemia (T-ALL) using Support Vector Machine analysis. The genetic subtype accuracy, as indicated by a permutation test, was found to be 97% for hyperdiploid cases and above 50%. Genes identified to be associated with relapse include Z82206, UQCRFS1, X83301, and others. The study also investigates the role of CCR in T-ALL relapse, analyzing genes like W73822, FLJ22448, J04132, among others. Promising results were obtained, with the accuracy of predicting relapse reaching 97%.

nikki
Download Presentation

Prediction of T-ALL Relapse Using Gene Expression Profiles and Support Vector Machine Analysis

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. A Gene expression profiles as predictors of relapse Support Vector Machine Genetic Subtype Apparent Accuracy p = (Permutation Test) T-ALL 97% 0.007 Hyperdiploid > 50 100% 0.018 B CCR Relapse Z82206 UQCRFS1 X83301 SMA 5 AB007851 PRPSAP2 D29954 KIAA0056 D34625 Thromboxane synthetase U01923 HMRPH2 L05424 CD44 T-ALL C CCR Relapse W73822 FLJ22448 J04132 CD3zeta D83702 CRY1 AB002344 KIAA0346 AB023207 KIAA0990 AF042729 IMPA1 AB007863 KIAA0403 AA151971 IMAGE 588365 U57693 TAF12 AF000984 DBY U04735 STCH W72733 KIAA1536 AB023152 KIAA0935 X90999 HAGH D26067 KIAA0033 M58459 Ribosomal protein S4 AL080218 DKFZp586N1323 U79262 DHPS U69559 RNF11 M29960 NR2C1 HD

More Related