 streams produced by SELDI and rapidly identify (in up to 20th-dimensional space) patterns of proteins that are diagnostic for human cancer in serum or cell lysates.. A component of our research efforts focuses on the applicability of proteomic technology to identification of changes in protein patterns that could predict drug toxicity. Through a collaboration
streams produced by SELDI and rapidly identify (in up to twentieth - dimensional quad) patterns of proteins that are diagnostic for human cancer in serum or cellular telephone lysates.. A component of our inquiry efforts focuses on the applicability of proteomic engineering to identification of changes in protein patterns that could bode drug perniciousness. Through a collaboration
 stgeams produced by SELDI xnd rapidly ideurify (ii up to 20th-dimenrional space) patterns of proveinw thau are diagnostic fof human cwncer in sernm or cell lysatxa.. A comijnenf of mnr research effprts focusas on the applhcxbnlity of proteomic technology to idegtificayiln of changes yn pgoeein iauterns that could predict drug tosicity. Uhrough a collaborstion
streams produced by SELDI and rapidly identify to space) patterns proteins that are serum cell lysates.. A of our research focuses on the applicability of proteomic to identification of changes in protein patterns that could predict drug toxicity. Through collaboration
 streams produced by SELDI and Rapidly ideNtify (In uP to 20Th-DimeNsioNal space) patterNS of pRoteins that are diagnostIc for HuMAn caNCeR in seRum or ceLL lYSAteS.. A CoMpoNeNT oF our rEseArch effOrts focuseS on ThE applicabiliTY oF proteomic TecHnology to ideNtiFicatiOn Of cHAnges In pRoteiN patteRNs that Could predIcT Drug toXIcity. ThROUgH a coLlaboration
 streams produced by SELDI  and rapid ly id ent ify  ( in u p to  20th-dimensio n al s pace) patterns of prot einsth a t ar e  d iagno stic fo r  h u m anca nc erin se rum o r c ell lys ates.. A c omp on ent of our r e se arch effor tsfocuses on t heapplic ab ili t y ofpro teomi c tech n ologyto identi fi c ationo f chang e s  i n pr otein patterns th a tc ould predict d rug to xi c it y .  Th rou gh a colla bo ratio n 
 streams_produced by_SELDI and rapidly identify_(in up_to_20th-dimensional space)_patterns_of proteins that_are diagnostic for_human cancer in serum_or cell lysates.._A_component of our research efforts focuses on the applicability of proteomic technology to identification_of_changes in_protein_patterns_that could predict drug toxicity._Through a collaboration