Deconvolution of Tumour Profiles


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Documentation for package ‘ISOpureR’ version 1.1.3

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ISOpure.calculate.tac Perform calculation for Tumour Adjacent Cell (TAC) profiles
ISOpure.model_optimize.cg_code.rminimize Minimize a differentiable multivariate function
ISOpure.model_optimize.vv.vv_deriv_loglikelihood Compute the derivative of the loglikelihood relevant to vv for step 1
ISOpure.model_optimize.vv.vv_loglikelihood Compute the loglikelihood relevant to vv for step 1
ISOpure.step1.CPE Perform first step of ISOpure purification algorithm
ISOpure.step2.PPE Perform second step of ISOpure purification algorithm
ISOpure.util.logsum Log-sum-exp
ISOpure.util.matlab_greater_than Greater than operator
ISOpure.util.matlab_less_than Less than operator
ISOpure.util.matlab_log Modified logarithm function
ISOpure.util.repmat Tiles matrix horizontally or vertically
ISOpureS1.model_core.compute_loglikelihood Compute loglikelihood given all model parameters for step 1
ISOpureS1.model_core.new_model Initialize a model list to hold all the parameters
ISOpureS1.model_core.optmodel Optimizes the ISOpure parameters for step 1
ISOpureS1.model_optimize.kappa.kappa_compute_loglikelihood Compute loglikelihood relevant to kappa for step 1
ISOpureS1.model_optimize.kappa.kappa_deriv_loglikelihood Compute derivative of loglikelihood with respect to kappa for step 1
ISOpureS1.model_optimize.kappa.kappa_loglikelihood Compute loglikelihood relevant to kappa for step 1
ISOpureS1.model_optimize.mm.mm_deriv_loglikelihood Compute the derivative of the loglikelihood relevant to mm for step 1
ISOpureS1.model_optimize.mm.mm_loglikelihood Compute the loglikelihood relevant to mm for step 1
ISOpureS1.model_optimize.omega.omega_compute_loglikelihood Compute loglikelihood relevant to omega for step 1
ISOpureS1.model_optimize.omega.omega_deriv_loglikelihood Compute the derivative of loglikelihood relevant to omega for step 1
ISOpureS1.model_optimize.omega.omega_loglikelihood Compute the loglikelihood relevant to omega for step 1
ISOpureS1.model_optimize.opt_kappa Optimize kappa in step 1
ISOpureS1.model_optimize.opt_mm Optimize the reference cancer profile, m, in step 1
ISOpureS1.model_optimize.opt_omega Optimize omega in step 1
ISOpureS1.model_optimize.opt_theta Optimize theta in step 1
ISOpureS1.model_optimize.opt_vv Optimize vv in step 1
ISOpureS1.model_optimize.theta.theta_deriv_loglikelihood Compute the derivative of loglikelihood relevant to theta for step 1
ISOpureS1.model_optimize.theta.theta_loglikelihood Compute the loglikelihood relevant to theta for step 1
ISOpureS1.model_optimize.vv.vv_compute_loglikelihood Compute loglikelihood relevant to vv for step 1
ISOpureS2.model_core.compute_loglikelihood Compute loglikelihood given all model parameters for step 2
ISOpureS2.model_core.new_model Compute loglikelihood given all model parameters for step 2
ISOpureS2.model_core.optmodel Optimizes the ISOpure parameters for step 2
ISOpureS2.model_optimize.cc.cc_deriv_loglikelihood Compute the derivative of loglikelihood relevant to the patient cancer profiles, cc, for step 2
ISOpureS2.model_optimize.cc.cc_loglikelihood Compute the loglikelihood relevant to the patient cancer profiles, cc, for step 2
ISOpureS2.model_optimize.kappa.kappa_compute_loglikelihood Compute loglikelihood relevant to kappa for step 2
ISOpureS2.model_optimize.kappa.kappa_deriv_loglikelihood Compute derivative of loglikelihood with respect to kappa for step 2
ISOpureS2.model_optimize.kappa.kappa_loglikelihood Compute loglikelihood relevant to kappa for step 2
ISOpureS2.model_optimize.opt_cc Optimize the tumor-specific cancer profiles in step 2
ISOpureS2.model_optimize.opt_kappa Optimize kappa in step 2
ISOpureS2.model_optimize.opt_theta Optimize theta in step 2
ISOpureS2.model_optimize.opt_vv Optimize vv in step 2
ISOpureS2.model_optimize.theta.theta_deriv_loglikelihood Compute the derivative of loglikelihood relevant to theta for step 2
ISOpureS2.model_optimize.theta.theta_loglikelihood Compute the loglikelihood relevant to theta for step 2
ISOpureS2.model_optimize.vv.vv_compute_loglikelihood Compute loglikelihood relevant to vv for step 2