Joint Nonnegative Matrix Factorization Based on Sparse and Graph Laplacian Regularization for Clustering and Co-Differential Expression Genes Analysis

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Methods</td><td class="align_center">Running times</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">iNMF</td><td class="align_center">2.4261</td></tr><tr><td class="align_left">iGMFNA</td><td class="align_center">0.1312</td></tr><tr><td class="align_left">jNMF</td><td class="align_center">1.6311</td></tr><tr><td class="align_left">iONMF</td><td class="align_center">46.8843</td></tr><tr><td class="align_left">SG-jNMF</td><td class="align_center">0.5153</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Complexity

tab1

Table 1

Table 1: Joint Nonnegative Matrix Factorization Based on Sparse and Graph Laplacian Regularization for Clustering and Co-Differential Expression Genes Analysis 

Table 1 | Joint Nonnegative Matrix Factorization Based on Sparse and Graph Laplacian Regularization for Clustering and Co-Differential Expression Genes Analysis 