ng, Y. (2020). Cluster analysis of time evolution (CAT) for quantitative

ceptibility mapping (QSM) and quantitative blood oxygen level-dependent

gnitude (qBOLD)-based oxygen extraction fraction (OEF) and cerebral

abolic rate of oxygen (CMRO2) mapping, Magnetic Resonance in Medicine,

pp. 844–857.

H., Kim, Y. B. and Cho, Z. H. (2020). Fiber-distance-based unsupervised

stering of MR tractography data, Journal of Neuroscience Methods (in press).

y, B. and Garai, G. (2017). A review on multiple sequence alignment from the

spective of genetic algorithm, Genomics, 109, pp. 419–431.

C., Bernstein, M. A., Martín-Pastor, M. and Tahoces, P. G. (2006). A new

eral-purpose fully automatic baseline-correction procedure for 1D and 2D

MR data, Journal of Magnetic Resonance, 183, pp. 145–151.

S. and Galas, D. (1993). A new five-year plan for the U.S. Human Genome

gram, Science, 262, pp. 43–46.

S. and McKusick, V. A. (2001). Implications of the human genome project for

dical science, The Journal of the American Medical Association, 285, pp. 540–544.

(2000). Genetic and epigenetic interaction in allopolyploid plants, Plane Gene

ncing, pp. 267–279.

and Vapnik, V. N. (1995). Support-vector networks, Machine Learning, 20, pp.

–297.

M., Liverani, C., Mercatali, L., Ibrahim, T. and Giordano, E. (2020).

mputational models to explore the complexity of the epithelial to mesenchymal

nsition in cancer, WIRES Mechanisms of Disease, 12, pp. 1488.

Wang, Y., Ly, A., Hosono, Y., Murchie, E., Walmsley, C. S., Huynh, T., Healy,

Peterson, R., Yanase, S., Jakubik, C. T., Henderson, L. E., Damon, L. J.,

monina, D., Sanidas, I., Pinto, C. J., Mino–Kenudson, M., Stone, J. R., Dyson,

J., Ellisen, L. W., Bardia, A., Ebi, H., Benes, C. H., Engelman, J. A. and Juric,

(2020). PTEN loss mediates clinical cross-resistance to CDK4/6 and PI3Kα

ibitors in breast cancer, Cancer Discovery, 10, pp. 72–85.

N., Ocampo, P. S., Sakellaropoulos, T., Narula, N., Snuderl, M., Fenyö, D.,

reira, A.L., Razavian, N. and Tsirigos, A. (2018). Classification and mutation

diction from non-small cell lung cancer histopathology images using deep

ning, Nature Medicine, 24, pp. 1559–1567.

J., Ho, P. S., Donlin, M. J., Tavis, J. E. and Chen, C. (2015). A Functional

rplay between human immunodeficiency virus type 1 protease residues 77 and

involved in differential regulation of precursor autoprocessing and mature

tease activity, PLoS One, 10, pp. e0123561.

M. (1965). Geometrical and statistical properties of systems of linear inequalities

h applications in pattern recognition, IEEE Transactions on Electronic

mputers, EC-14, pp. 326–334.

. (2006). Principles of Statistical Inference, (Cambridge University Press,

mbridge New York).

M. J. (2005). Statistics, An Introduction Using R. (Wiley, England).