Sparse Representation for Classification of Tumors Using Gene Expression Data

Algorithm 1

Classification by sparse representation.

Input: {(𝐱_𝑖,𝑦_𝑖);𝑖=1,…,𝑛}, and y

 1. Normalize 𝐱_𝑖,𝑖=1,2,…,𝑛, and y

 2. Create matrix A

 3. Solve the optimization problem defined in (5)

 4. Compute 𝑔_𝑘(𝐲),𝑘=1,2,…,𝑁

Output: argmin_𝑘𝑔_𝑘(𝐲)