As processing methods for RPPA data improve, this technology helps identify proteomic signatures that are unique to subtypes of disease and can eventually be applied to personalized therapy. applied RPPAs to find protein signatures in liver tissue that were able to distinguish progressive and nonprogressive forms of the nonalcoholic fatty liver disease, a common cause of chronic liver disease. One of the hopes for RPPAs is thatanbsp;...
|Title||:||Models for the Preprocessing of Reverse Phase Protein Arrays|
|Author||:||E. Shannon Neeley|
|Publisher||:||ProQuest - 2009|