ta, M. A., Wei, D., Gao, G., Durbin-Johnson, B. and Rashidi, H. H. (2019).
pact of pre-analytical variables on deep learning accuracy in histopathology,
topathology, 75, pp. 39–53.
., Taylor, W. R. and Thornton, J. M. (1992). The rapid generation of mutation
a matrices from protein sequences, Computer Applications in Biosciences, 8, pp.
–282.
Liang, G. (2009). Rethinking how DNA methylation patterns are maintained.
ure Reviews Genetics, 10, pp. 805–811.
(2009). Leveling with lagrange: an alternate view of constrained optimization,
thematics Magazine, 82, pp. 186–196.
A. A. and Ofman, Y. P. (1963). Multiplication of multidigit numbers on
omata, Soviet Physics Doklady, 7, pp. 595–596.
L. and Rousseeuw, P. J. (1987). Clustering by means of Medoids, in Statistical
ta Analysis Based on the L1 Norm and Related Methods, edited by Y. Dodge,
rth-Holland, pp. 405–416.
T. and Doi, J. (1997). Improvement of protein secondary structure prediction
ng binary word encoding, Proteins, 27, pp. 36–46.
K., Toshimitsu, K., Matano, M., Fujita, M., Fujii, M., Togasaki, K., Ebisudani,
Shimokawa, M., Takano, A., Takahashi, S., Ohta, Y., Nanki, K., Igarashi, R.,
maru, K., Ishida, H., Sukawa, Y., Sugimoto, S., Saito, Y., Maejima, K.,
agawa, S., Lee, H., Kim, H. G., Ha, K., Hamamoto, J., Fukunaga, K., Maekawa,
Tanabe, M., Ishihara, S., Hamamoto, Y., Yasuda, H., Sekine, S., Kudo, A.,
agawa, Y., Kanai, T., Nakagawa, H. and Sato, T. (2020). an organoid biobank
neuroendocrine neoplasms enables genotype-phenotype mapping, Cell, 2183,
1420–1435.
A. and Baldi, P. (2012). Cyber-T web server: differential analysis of high-
oughput data, Nucleic Acids Research, 40, pp. W553–W559.
Konishi, Y., Oka, M., Ooi, T. and Scheraga, H. A. (1985). Statistical analysis
he physical properties of the 20 naturally occurring amino acids, Journal of
tein Chemistry, 4, pp. 23–55.
ee, H., Devaraj, V., Kim, W. G., Lee, Y., Kim, Y., Jeong, N. N., Choi, E. J.,
ek, S. H., Han, D. W., Sun, H. and Oh, J. W. (2020). Hierarchical cluster analysis
medical chemicals detected by a bacteriophage-based colorimetric sensor array,
nomaterials, 10, pp. e121.
(2018). Statistical notes for clinical researchers: simple linear regression 2 –
luation of regression line, Restorative Dentistry and Endodontics, 43, pp. e34.
Cho, S. B. and Kim, J. H. (2010). Mixture-model based estimation of gene
ression variance from public database improves identification of differentially
ressed genes in small sized microarray data, Bioinformatics, 26, pp. 486–492.
ee, S., Choi, J. I. and Cho, H. (2021). Binary genetic algorithm for optimal join
nt detection: Application to cancer trend analysis, Statistical Medicine, 40, pp.
–822.