000190848 001__ 190848
000190848 005__ 20190316235750.0
000190848 0247_ $$2doi$$a10.1109/JSEN.2013.2274873
000190848 022__ $$a1530-437X
000190848 02470 $$2ISI$$a000325814000015
000190848 037__ $$aARTICLE
000190848 245__ $$aA Linear Approach to Multi-Panel Sensing in Personalized Therapy for Cancer Treatment
000190848 269__ $$a2013
000190848 260__ $$bInstitute of Electrical and Electronics Engineers$$c2013$$aPiscataway
000190848 300__ $$a6
000190848 336__ $$aJournal Articles
000190848 520__ $$aIn this paper, a new approach for evaluating the performance of a multi-panel biosensor using linear algebra is presented. With a system-level mathematical analysis based on graphs and linear algebra, we formulate a new approach for contributions decoupling in a multi-panel biochip for simulta- neous detection of anti-cancer drugs, avoiding redundancy and interaction between enzymes. Experimental results have been used to validate the model.
000190848 6531_ $$acytochrome P450 biosensor
000190848 6531_ $$amultiplexed drugs detection
000190848 6531_ $$apersonalized therapy
000190848 6531_ $$acondition number
000190848 6531_ $$alimit of detection
000190848 6531_ $$alinear system
000190848 700__ $$0245318$$g198938$$aBaj-Rossi, Camilla
000190848 700__ $$0240269$$g167918$$aDe Micheli, Giovanni
000190848 700__ $$aCarrara, Sandro$$g182237$$0242413
000190848 773__ $$j13$$tIEEE Sensors Journal$$k12$$q4860-4865
000190848 8564_ $$uhttps://infoscience.epfl.ch/record/190848/files/06568871.pdf$$zn/a$$s860590$$yn/a
000190848 909C0 $$xU11140$$0252283$$pLSI1
000190848 909CO $$particle$$qGLOBAL_SET$$ooai:infoscience.tind.io:190848$$pSTI$$pIC
000190848 917Z8 $$x112915
000190848 937__ $$aEPFL-ARTICLE-190848
000190848 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000190848 980__ $$aARTICLE