Results of matrix factorization decompositions for a set of 14 colon cancer transcriptomic datasets using different methods

<p>These are the results of application of several matrix factorization methods (ICA, StabilizedICA, NMF, PCA) for a set of 14 independent colon cancer transcriptomics datasets. The analysis was done to compare the methods in terms of their reproducibility (ability to generalize).&nbsp;</p> <p>The results of this analysis was published in&nbsp;</p> <p><a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6821374/pdf/btz225.pdf">Cantini L, Kairov U, de Reyni&egrave;s A, Barillot E, Radvanyi F, Zinovyev A. Assessing reproducibility of matrix factorization methods in independent transcriptomes. Bioinformatics. 2019 Nov 1;35(21):4307-4313. doi: 10.1093/bioinformatics/btz225.&nbsp;</a></p> <p>&nbsp;</p>