{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T19:50:18Z","timestamp":1743105018598,"version":"3.40.3"},"publisher-location":"Cham","reference-count":25,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319075808"},{"type":"electronic","value":"9783319075815"}],"license":[{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014]]},"DOI":"10.1007\/978-3-319-07581-5_4","type":"book-chapter","created":{"date-parts":[[2014,5,21]],"date-time":"2014-05-21T08:29:59Z","timestamp":1400660999000},"page":"31-39","source":"Crossref","is-referenced-by-count":0,"title":["Improving miRNA Classification Using an Exhaustive Set of Features"],"prefix":"10.1007","author":[{"given":"Sherin M.","family":"ElGokhy","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tetsuo","family":"Shibuya","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amin","family":"Shoukry","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"4_CR1","doi-asserted-by":"publisher","first-page":"403","DOI":"10.1016\/S0022-2836(05)80360-2","volume":"215","author":"S. Altschul","year":"1990","unstructured":"Altschul, S., Gish, W., Miller, W., Myers, E., Lipman, D., et al.: Basic local alignment search tool. Journal of Molecular Biology\u00a0215, 403\u2013410 (1990)","journal-title":"Journal of Molecular Biology"},{"key":"4_CR2","doi-asserted-by":"crossref","unstructured":"Jiang, P., Wu, H., Wang, W., Ma, W., Sun, X., Lu, Z.: Mipred: classification of real and pseudo microrna precursors using random forest prediction model with combined features. Nucleic Acids Research\u00a035, W339\u2013W344 (2007)","DOI":"10.1093\/nar\/gkm368"},{"key":"4_CR3","doi-asserted-by":"publisher","first-page":"991","DOI":"10.1101\/gad.1074403","volume":"17","author":"L. Lim","year":"2003","unstructured":"Lim, L., Lau, N., Weinstein, E., Abdelhakim, A., Yekta, S., Rhoades, M., Burge, C., Bartel, D.: The micrornas of caenorhabditis elegans. Genes & Development\u00a017, 991 (2003)","journal-title":"Genes & Development"},{"key":"4_CR4","doi-asserted-by":"crossref","unstructured":"Lai, E., Tomancak, P., Williams, R., Rubin, G.: Computational identication of drosophila microrna genes. Genome Biology 4 (2003)","DOI":"10.1186\/gb-2003-4-7-r42"},{"key":"4_CR5","doi-asserted-by":"publisher","first-page":"11511","DOI":"10.1073\/pnas.0404025101","volume":"101","author":"E. Bonnet","year":"2004","unstructured":"Bonnet, E., Wuyts, J., Rouz, P., Van de Peer, Y.: Detection of 91 potential conserved plant micrornas in arabidopsis thaliana and oryza sativa identies important target genes. Proc. Natl. Acad. Sci. USA\u00a0101, 11511\u201311516 (2004)","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"4_CR6","doi-asserted-by":"publisher","first-page":"787","DOI":"10.1016\/j.molcel.2004.05.027","volume":"14","author":"M. Jones-Rhoades","year":"2004","unstructured":"Jones-Rhoades, M., Bartel, D.: Computational identification of plant micrornas and their targets, including a stress-induced mirna. Molecular Cell\u00a014, 787\u2013799 (2004)","journal-title":"Molecular Cell"},{"key":"4_CR7","doi-asserted-by":"publisher","first-page":"1321","DOI":"10.1093\/bioinformatics\/btm026","volume":"23","author":"K. Ng","year":"2007","unstructured":"Ng, K., Mishra, S.: De novo svm classification of precursor micrornas from genomic pseudo hairpins using global and intrinsic folding measures. Bioinformatics\u00a023, 1321\u20131330 (2007)","journal-title":"Bioinformatics"},{"key":"4_CR8","doi-asserted-by":"crossref","unstructured":"Sewer, A., Paul, N., Landgraf, P., Aravin, A., Pfeffer, S., Brownstein, M., Tuschl, T., van Nimwegen, E., Zavolan, M.: Identication of clustered micrornas using an ab initio prediction method. BMC Bioinformatics 6 (2005)","DOI":"10.1186\/1471-2105-6-267"},{"key":"4_CR9","doi-asserted-by":"crossref","unstructured":"Xue, C., Li, F., He, T., Liu, G., Li, Y., Zhang, X.: Classification of real and pseudo microrna precursors using local structure-sequence features and support vector machine. BMC Bioinformatics 6 (2005)","DOI":"10.1186\/1471-2105-6-310"},{"key":"4_CR10","series-title":"LNBI","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1007\/11960669_12","volume-title":"Data Mining and Bioinformatics","author":"Y. Zheng","year":"2006","unstructured":"Zheng, Y., Hsu, W., Li Lee, M., Wong, L.: Exploring essential attributes for detecting microRNA precursors from background sequences. In: Dalkilic, M.M., Kim, S., Yang, J. (eds.) VDMB 2006. LNCS (LNBI), vol.\u00a04316, pp. 131\u2013145. Springer, Heidelberg (2006)"},{"key":"4_CR11","doi-asserted-by":"publisher","first-page":"989","DOI":"10.1093\/bioinformatics\/btp107","volume":"25","author":"R. Batuwita","year":"2009","unstructured":"Batuwita, R., Palade, V.: Micropred: effective classification of pre-mirnas for human mirna gene prediction. Bioinformatics\u00a025, 989\u2013995 (2009)","journal-title":"Bioinformatics"},{"key":"4_CR12","unstructured":"Pasaila, D., Mohorianu, I., Sucila, A., Pantiru, S., Ciortuz, L.: Yet another svm for mirna recognition: yasmir. Technical report, Citeseer (2010)"},{"key":"4_CR13","doi-asserted-by":"crossref","unstructured":"Shiva, K., Faraz, A., Vinod, S.: Prediction of viral microrna precursors based on human microrna precursor sequence and structural features. Virology Journal 6 (2009)","DOI":"10.1186\/1743-422X-6-129"},{"key":"4_CR14","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1007\/BF00818163","volume":"125","author":"I. Hofacker","year":"1994","unstructured":"Hofacker, I., Fontana, W., Stadler, P., Bonhoeffer, L., Tacker, M., Schuster, P.: Fast folding and comparison of rna secondary structures. Monatshefte f\u00fcr Chemie\/Chemical Monthly\u00a0125, 167\u2013188 (1994)","journal-title":"Monatshefte f\u00fcr Chemie\/Chemical Monthly"},{"key":"4_CR15","doi-asserted-by":"crossref","unstructured":"Griffiths-Jones, S.: The microrna registry. Nucleic Acids Research\u00a032, D109\u2013D111 (2004)","DOI":"10.1093\/nar\/gkh023"},{"key":"4_CR16","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1093\/nar\/29.1.137","volume":"29","author":"K. Pruitt","year":"2001","unstructured":"Pruitt, K., Maglott, D.: Refseq and locuslink: Ncbi gene-centered resources. Nucleic Acids Research\u00a029, 137\u2013140 (2001)","journal-title":"Nucleic Acids Research"},{"key":"4_CR17","doi-asserted-by":"publisher","first-page":"2911","DOI":"10.1093\/bioinformatics\/bth374","volume":"20","author":"E. Bonnet","year":"2004","unstructured":"Bonnet, E., Wuyts, J., Rouz\u00e9, P., Van de Peer, Y.: Evidence that microrna precursors, unlike other non-coding rnas, have lower folding free energies than random sequences. Bioinformatics\u00a020, 2911\u20132917 (2004)","journal-title":"Bioinformatics"},{"key":"4_CR18","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1186\/1471-2105-6-241","volume":"6","author":"E. Freyhult","year":"2005","unstructured":"Freyhult, E., Gardner, P.P., Moulton, V.: A comparison of rna folding measures. BMC Bioinformatics\u00a06, 241 (2005)","journal-title":"BMC Bioinformatics"},{"key":"4_CR19","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1145\/584091.584093","volume":"5","author":"C.E. Shannon","year":"2001","unstructured":"Shannon, C.E.: A mathematical theory of communication. ACM SIGMOBILE Mobile Computing and Communications Review\u00a05, 3\u201355 (2001)","journal-title":"ACM SIGMOBILE Mobile Computing and Communications Review"},{"key":"4_CR20","doi-asserted-by":"publisher","first-page":"204","DOI":"10.1186\/1471-2164-10-204","volume":"10","author":"A. van der Burgt","year":"2009","unstructured":"van der Burgt, A., Fiers, M.W., Nap, J.P., van Ham, R.C.: In silico mirna prediction in metazoan genomes: balancing between sensitivity and specificity. BMC Genomics\u00a010, 204 (2009)","journal-title":"BMC Genomics"},{"key":"4_CR21","doi-asserted-by":"publisher","first-page":"170","DOI":"10.1261\/rna.223807","volume":"13","author":"S.N.K. Loong","year":"2007","unstructured":"Loong, S.N.K., Mishra, S.K.: Unique folding of precursor micrornas: Quantitative evidence and implications for de novo identification. Rna\u00a013, 170\u2013187 (2007)","journal-title":"Rna"},{"key":"4_CR22","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"L. Breiman","year":"2001","unstructured":"Breiman, L.: Random forests. Machine Learning\u00a045, 5\u201332 (2001)","journal-title":"Machine Learning"},{"key":"4_CR23","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1145\/1656274.1656278","volume":"11","author":"M. Hall","year":"2009","unstructured":"Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., Witten, I.H.: The weka data mining software: an update. ACM SIGKDD Explorations Newsletter\u00a011, 10\u201318 (2009)","journal-title":"ACM SIGKDD Explorations Newsletter"},{"key":"4_CR24","doi-asserted-by":"crossref","unstructured":"Griffiths-Jones, S., Grocock, R., Van Dongen, S., Bateman, A., Enright, A.: mirbase: microrna sequences, targets and gene nomenclature. Nucleic Acids Research\u00a034, D140\u2013D144 (2006)","DOI":"10.1093\/nar\/gkj112"},{"key":"4_CR25","doi-asserted-by":"crossref","unstructured":"Chang, C.C., Lin, C.J.: LIBSVM: A library for support vector machines. ACM Transactions on Intelligent Systems and Technology\u00a02, 27:1\u201327:27 (2011), Software available at \n                    http:\/\/www.csie.ntu.edu.tw\/~cjlin\/libsvm","DOI":"10.1145\/1961189.1961199"}],"container-title":["Advances in Intelligent Systems and Computing","8th International Conference on Practical Applications of Computational Biology & Bioinformatics (PACBB 2014)"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-07581-5_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T07:39:52Z","timestamp":1675237192000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-07581-5_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"ISBN":["9783319075808","9783319075815"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-07581-5_4","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2014]]}}}