Abstract
Due to the complexity of data analysis and the large number of drug combinations studied, computer tools and software are becoming more and more important in the search of synergistic drug combinations. As a result, many tools and software have been developed, which in turn introduces the challenge of selecting the appropriate tool for a particular research study. In this chapter, we introduce the features of a representative set of software and tools including two S-PLUS/R functions (chou8491.ssc and Greco.ssc), oneCONTENTS9.1 Introduction 182 9.2 MacSynergy™ II 1839.2.1 Experimental Design and Data 183 9.2.2 Analysis Method 183 9.2.3 Output 185 9.2.4 Discussion 1859.3 CAST-Compound Combination for Oncology Drug Combinations .. 186 9.3.1 Experimental Design and Data 186 9.3.2 Analysis Method 186 9.3.3 Key Features and Output 1879.4 CalcuSyn Version 2.0 and CompuSyn Version 1.0 188 9.4.1 Experiment Design and Data 188 9.4.2 Analysis Method 189 9.4.3 Key Features and Output 1919.5 Chalice Multitarget Discovery Software 192 9.5.1 Experimental Design and Data 192 9.5.2 Analysis Methods 193 9.5.3 Key Features and Output 1959.6 S-PLUS/R Functions: Chou8491.ssc and Greco.ssc 197 9.7 Comparison of Analysis Software and Tools 199 References 199Excel spreadsheet (MacSynergy II), two computer software (CalcuSyn and CompuSyn), one web-based system (CAST-Compound Combination) and one integrated platform (Chalice). In total, these tools implement four different reference models: Bliss independence (BI), Loewe additivity (LA), median effect of Chou and Talalay, and highest single agent (HSA). The introduction for each tool includes experimental design, data input, analysis methods, analysis output, and key features. We conclude with a summary comparison of these tools.
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