TY - GEN
T1 - Walsh-hadamard transform of DNA methylation profile for the classification of human cancer cells
AU - Zhao, Xueyuan
AU - Pompili, Dario
N1 - Publisher Copyright:
© 2017 ACM.
PY - 2017/1/6
Y1 - 2017/1/6
N2 - The discovery is reported on the low dimension and three step property of transform domain vector of of DNA methylation profile after Walsh-Hadamard Transform. The transform domain vector is unique for particular tissue type, and shows difference between normal and disease cells of the same tissue type. A new human disease cell classification approach is further proposed in this work, and the approach is tested with multiple datasets and classifiers. Results show that the proposed approach can achieve high classification accuracy and has great potential for practical applications.
AB - The discovery is reported on the low dimension and three step property of transform domain vector of of DNA methylation profile after Walsh-Hadamard Transform. The transform domain vector is unique for particular tissue type, and shows difference between normal and disease cells of the same tissue type. A new human disease cell classification approach is further proposed in this work, and the approach is tested with multiple datasets and classifiers. Results show that the proposed approach can achieve high classification accuracy and has great potential for practical applications.
KW - DNA Methylation profile
KW - Human cell classification
KW - Three-step property
KW - Walsh-Hadamard transform
UR - http://www.scopus.com/inward/record.url?scp=85018244894&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85018244894&partnerID=8YFLogxK
U2 - 10.1145/3035012.3035026
DO - 10.1145/3035012.3035026
M3 - Conference contribution
AN - SCOPUS:85018244894
T3 - ACM International Conference Proceeding Series
SP - 26
EP - 29
BT - Proceedings of the 5th International Conference on Bioinformatics and Computational Biology, ICBCB 2017
PB - Association for Computing Machinery
T2 - 5th International Conference on Bioinformatics and Computational Biology, ICBCB 2017
Y2 - 6 January 2017 through 8 January 2017
ER -