BMES 511 Lecture Notes - Lecture 3: Partial Differential Equation, Antiderivative, Dependent And Independent Variables
15 Mar 2016
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N2 = n1 + rn1 = n1(1+r) = n0(1+r)(1+r) = n0(1+r)2. N3 = n2 + rn2 = n0(1+r)3 so we see a pattern that can be described as: The problem with this equation in biological settings is that we don"t always want our time steps to be 1. Either you add up columns for every delta t. Which means that the smaller the delta t, the better/more approximate the number. The dependent variable is on both sides of the equation - strange but typical for biology. Pde (partial differential equation) has more than one independent variable. Pathways - signaling - once proteins in a signaling cascade reach the transcription factor which helps promote replication. A protein can inhibit one of the other proteins in order to have negative feedback. This inhibition is not seen in cancer and other similar diseases. You can also have both being a positive or negative. Giving birth is an example of positive feedback.
