Abstract: In this paper, the candidate gene discriminating gliomas identification via a supervised iteration of bipartitive k-mean is presented. Gliomas are supervisedly discriminated by identifying, via iterative bipartitive division according to principal directions initializing k-means, salient genes able to cluster representative patients, thus also giving an insight about degrees of epigenetic similarity among different kinds of gliomas.
DOI: *As the DOI is a unique identifier, it is already available in the pdf version. **The DOI link will be activated in the first midst of January 2026.
WSEAS Transactions on Biology and Biomedicine, ISSN / E-ISSN: 1109-9518 / 2224-2902, Volume 15, 2018, Art. #10
Rossella Melchiotti, Diego Liberati, "Candidate Gene Discriminating Gliomas Identification via a Supervised Iteration of Bipartitive k-Means Initialised via Partititve Division According to Principal Components," WSEAS Transactions on Biology and Biomedicine, vol. 15, pp. 87-100, 2018, DOI:
Rossella Melchiotti, Diego Liberati. Candidate Gene Discriminating Gliomas Identification via a Supervised Iteration of Bipartitive k-Means Initialised via Partititve Division According to Principal Components.
WSEAS Transactions on Biology and Biomedicine. 2018;15:87-100.