{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:16:16Z","timestamp":1742912176212,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":13,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811556784"},{"type":"electronic","value":"9789811556791"}],"license":[{"start":{"date-parts":[[2020,8,30]],"date-time":"2020-08-30T00:00:00Z","timestamp":1598745600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,8,30]],"date-time":"2020-08-30T00:00:00Z","timestamp":1598745600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-981-15-5679-1_30","type":"book-chapter","created":{"date-parts":[[2020,8,29]],"date-time":"2020-08-29T08:05:18Z","timestamp":1598688318000},"page":"321-329","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A Regularization-Based Feature Scoring Criterion on Candidate Genetic Marker Selection of Sporadic Motor Neuron Disease"],"prefix":"10.1007","author":[{"given":"S.","family":"Karthik","sequence":"first","affiliation":[]},{"given":"M.","family":"Sudha","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,8,30]]},"reference":[{"key":"30_CR1","doi-asserted-by":"crossref","unstructured":"Shastry, B.S., SNPs: impact on gene function and phenotype. In: Single Nucleotide Polymorphisms, pp. 3\u201322. Humana Press, Totowa, NJ (2009)","DOI":"10.1007\/978-1-60327-411-1_1"},{"issue":"6","key":"30_CR2","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1145\/3136625","volume":"50","author":"J Li","year":"2018","unstructured":"Li, J., Cheng, K., Wang, S., Morstatter, F., Trevino, R.P., Tang, J., Liu, H.: Feature selection: a data perspective. ACM Comput. Surv. (CSUR) 50(6), 94 (2018)","journal-title":"ACM Comput. Surv. (CSUR)"},{"key":"30_CR3","doi-asserted-by":"crossref","unstructured":"Barat, A., Smeets, D., Moran, B., Das, S., Betge, J., Murphy, V., Ebert, M.P.: A machine-learning approach for the identification of highly predictive germline SNPs as biomarkers for response to bevacizumab in metastatic colorectal cancer using Elastic Net and Lasso (2018)","DOI":"10.1200\/JCO.2018.36.15_suppl.e15584"},{"issue":"1","key":"30_CR4","doi-asserted-by":"publisher","first-page":"240","DOI":"10.1002\/cam4.1256","volume":"7","author":"RE Reinbolt","year":"2018","unstructured":"Reinbolt, R.E., Sonis, S., Timmers, C.D., Fern\u00e1ndez-Mart\u00ednez, J.L., Cernea, A., de Andr\u00e9s-Galiana, E.J., Lustberg, M.B.: Genomic risk prediction of aromatase inhibitor-related arthralgia in patients with breast cancer using a novel machine-learning algorithm. Cancer Med. 7(1), 240\u2013253 (2018)","journal-title":"Cancer Med."},{"issue":"4","key":"30_CR5","doi-asserted-by":"publisher","first-page":"336","DOI":"10.1097\/CEJ.0b013e32834e31f6","volume":"21","author":"LY Chuang","year":"2012","unstructured":"Chuang, L.Y., Chang, H.W., Lin, M.C., Yang, C.H.: Chaotic particle swarm optimization for detecting SNP\u2013SNP interactions for CXCL12-related genes in breast cancer prevention. Eur. J. Cancer Prev. 21(4), 336\u2013342 (2012)","journal-title":"Eur. J. Cancer Prev."},{"issue":"1","key":"30_CR6","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1111\/j.1469-1809.2011.00692.x","volume":"76","author":"HY Lin","year":"2012","unstructured":"Lin, H.Y., Ann Chen, Y., Tsai, Y.Y., Qu, X., Tseng, T.S., Park, J.Y.: TRM: a powerful two-stage machine learning approach for identifying SNP-SNP interactions. Ann. Hum. Genet. 76(1), 53\u201362 (2012)","journal-title":"Ann. Hum. Genet."},{"issue":"9","key":"30_CR7","doi-asserted-by":"publisher","first-page":"1231","DOI":"10.1016\/j.jocn.2010.12.049","volume":"18","author":"R Pamphlett","year":"2011","unstructured":"Pamphlett, R., Morahan, J.M.: Copy number imbalances in blood and hair in monozygotic twins discordant for amyotrophic lateral sclerosis. J. Clin. Neurosci. 18(9), 1231\u20131234 (2011)","journal-title":"J. Clin. Neurosci."},{"issue":"11","key":"30_CR8","doi-asserted-by":"publisher","first-page":"178","DOI":"10.1007\/s10916-017-0823-3","volume":"41","author":"M Sudha","year":"2017","unstructured":"Sudha, M.: Evolutionary and neural computing based decision support system for disease diagnosis from clinical data sets in medical practice. J. Med. Syst. 41(11), 178 (2017)","journal-title":"J. Med. Syst."},{"key":"30_CR9","doi-asserted-by":"crossref","unstructured":"Bhateja, V., Tiwari, A., Gautam, A.: Classification of mammograms using sigmoidal transformation and SVM. In: Smart Computing and Informatics, pp. 193\u2013199. Springer, Singapore (2018)","DOI":"10.1007\/978-981-10-5547-8_20"},{"key":"30_CR10","doi-asserted-by":"crossref","unstructured":"Dey, N., Bhateja, V., & Hassanien, A. E. (2016). Medical Imaging in Clinical Applications. Springer International Publishing 10, 973\u2013978","DOI":"10.1007\/978-3-319-33793-7"},{"key":"30_CR11","unstructured":"S. Karthik, Sudha M.: A survey on machine learning approaches in gene expression classification in modelling computational diagnostic system for complex diseases. Int. J. Eng. Adv. Technol. 8(2) (2018)"},{"key":"30_CR12","doi-asserted-by":"crossref","unstructured":"Karthik, S., Sudha M.: Diagnostic gene biomarker selection for alzheimer\u2019s classification using machine learning. Int. J. Innov. Technol. Explor. Eng. 8(12) (2019)","DOI":"10.35940\/ijitee.L3372.1081219"},{"key":"30_CR13","unstructured":"Sekaran, K., Sudha, M.: Prediction of lipopolysaccharides simulation responsiveness on gene expression profiles of major depression disorder affected cases using machine learning. Int. J. Sci. Technol. Res. 8(11), 21\u201324, 23 Nov 2019"}],"container-title":["Advances in Intelligent Systems and Computing","Intelligent Data Engineering and Analytics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-15-5679-1_30","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,29]],"date-time":"2020-08-29T08:10:26Z","timestamp":1598688626000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-15-5679-1_30"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,8,30]]},"ISBN":["9789811556784","9789811556791"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-981-15-5679-1_30","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2020,8,30]]},"assertion":[{"value":"30 August 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}