{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:13:31Z","timestamp":1750306411447,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":45,"publisher":"ACM","license":[{"start":{"date-parts":[[2015,9,9]],"date-time":"2015-09-09T00:00:00Z","timestamp":1441756800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2015,9,9]]},"DOI":"10.1145\/2808719.2812218","type":"proceedings-article","created":{"date-parts":[[2015,9,29]],"date-time":"2015-09-29T19:22:30Z","timestamp":1443554550000},"page":"561-567","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Towards the assessment of GRN algorithms based on (disease) ontology"],"prefix":"10.1145","author":[{"given":"Pietro H","family":"Guzzi","sequence":"first","affiliation":[{"name":"University of Catanzaro, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marianna","family":"Milano","sequence":"additional","affiliation":[{"name":"University of Catanzaro, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Swarup","family":"Roy","sequence":"additional","affiliation":[{"name":"North-Eastern Hill University, Shillong, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2015,9,9]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"A categorical network approach for discovering differentially expressed regulations in cancer. BMC medical genomics, 6(Suppl 3):S1","author":"Balov N.","year":"2013","unstructured":"N. Balov . A categorical network approach for discovering differentially expressed regulations in cancer. BMC medical genomics, 6(Suppl 3):S1 , 2013 . N. Balov. A categorical network approach for discovering differentially expressed regulations in cancer. BMC medical genomics, 6(Suppl 3):S1, 2013."},{"key":"e_1_3_2_1_2_1","volume-title":"July","author":"Bektas N.","year":"2008","unstructured":"N. Bektas , E. Noetzel , J. Veeck , M. F. Press , G. Kristiansen , A. Naami , A. Hartmann , A. Dimmler , M. W. Beckmann , R. Kn\u00fcchel , P. A. Fasching , and E. Dahl . The ubiquitin-like molecule interferon-stimulated gene 15 (ISG15) is a potential prognostic marker in human breast cancer. Breast cancer research : BCR, 10(4):R58+ , July 2008 . N. Bektas, E. Noetzel, J. Veeck, M. F. Press, G. Kristiansen, A. Naami, A. Hartmann, A. Dimmler, M. W. Beckmann, R. Kn\u00fcchel, P. A. Fasching, and E. Dahl. The ubiquitin-like molecule interferon-stimulated gene 15 (ISG15) is a potential prognostic marker in human breast cancer. Breast cancer research : BCR, 10(4):R58+, July 2008."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_3_1","DOI":"10.1016\/j.tig.2014.02.005"},{"key":"e_1_3_2_1_4_1","first-page":"418","volume-title":"Pac Symp Biocomput","volume":"5","author":"Butte A.","year":"2000","unstructured":"A. Butte and I. Kohane . Mutual information relevance networks: functional genomic clustering using pairwise entropy measurements . In Pac Symp Biocomput , volume 5 , pages 418 -- 429 , 2000 . A. Butte and I. Kohane. Mutual information relevance networks: functional genomic clustering using pairwise entropy measurements. In Pac Symp Biocomput, volume 5, pages 418--429, 2000."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_5_1","DOI":"10.1016\/j.jocs.2015.04.017"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_6_1","DOI":"10.1002\/widm.1090"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_7_1","DOI":"10.1145\/1824795.1824796"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_8_1","DOI":"10.1016\/j.procs.2010.04.110"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_9_1","DOI":"10.1038\/ng1901"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_10_1","DOI":"10.1186\/1477-5956-11-S1-S3"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_11_1","DOI":"10.1371\/journal.pone.0038107"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_12_1","DOI":"10.1371\/journal.pone.0001672"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_13_1","DOI":"10.1073\/pnas.0502024102"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_14_1","DOI":"10.1038\/nrmicro2419"},{"key":"e_1_3_2_1_15_1","first-page":"5","article-title":"Integrated analysis of micrornas, transcription factors and target genes expression discloses a specific molecular architecture of hyperdiploid multiple myeloma","author":"Di Martino M. T.","year":"2015","unstructured":"M. T. Di Martino , P. H. Guzzi , D. Caracciolo , L. Agnelli , A. Neri , B. A. Walker , G. J. Morgan , M. Cannataro , P. Tassone , and P. Tagliaferri . Integrated analysis of micrornas, transcription factors and target genes expression discloses a specific molecular architecture of hyperdiploid multiple myeloma . Oncotarget , 5 , 2015 . M. T. Di Martino, P. H. Guzzi, D. Caracciolo, L. Agnelli, A. Neri, B. A. Walker, G. J. Morgan, M. Cannataro, P. Tassone, and P. Tagliaferri. Integrated analysis of micrornas, transcription factors and target genes expression discloses a specific molecular architecture of hyperdiploid multiple myeloma. Oncotarget, 5, 2015.","journal-title":"Oncotarget"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_16_1","DOI":"10.1371\/journal.pbio.0050008"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_17_1","DOI":"10.1089\/106652700750050961"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_18_1","DOI":"10.1093\/bib\/bbr066"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_19_1","DOI":"10.1093\/nar\/26.1.55"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_20_1","DOI":"10.1371\/journal.pone.0012776"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_21_1","DOI":"10.1371\/journal.pone.0012776"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_22_1","DOI":"10.1007\/978-3-540-30583-5_46"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_23_1","DOI":"10.1038\/nrm2503"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_24_1","DOI":"10.1073\/pnas.2036429100"},{"key":"e_1_3_2_1_25_1","volume-title":"Interpretation of genomic variants using a unified biological network approach. PLoS computational biology, 9(3):e1002886","author":"Khurana E.","year":"2013","unstructured":"E. Khurana , Y. Fu , J. Chen , and M. Gerstein . Interpretation of genomic variants using a unified biological network approach. PLoS computational biology, 9(3):e1002886 , 2013 . E. Khurana, Y. Fu, J. Chen, and M. Gerstein. Interpretation of genomic variants using a unified biological network approach. PLoS computational biology, 9(3):e1002886, 2013."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_26_1","DOI":"10.1016\/j.ins.2014.02.096"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_27_1","DOI":"10.1186\/gm340"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_28_1","DOI":"10.1073\/pnas.0913357107"},{"key":"e_1_3_2_1_29_1","volume-title":"Generating realistic in silico gene networks for performance assessment of reverse engineering methods. Journal of computational biology, 16(2):229--239","author":"Marbach D.","year":"2009","unstructured":"D. Marbach , T. Schaffter , C. Mattiussi , and D. Floreano . Generating realistic in silico gene networks for performance assessment of reverse engineering methods. Journal of computational biology, 16(2):229--239 , 2009 . D. Marbach, T. Schaffter, C. Mattiussi, and D. Floreano. Generating realistic in silico gene networks for performance assessment of reverse engineering methods. Journal of computational biology, 16(2):229--239, 2009."},{"key":"e_1_3_2_1_30_1","volume-title":"Dengue virus infection induces expansion of a cd14 (+) cd16 (+) monocyte population that stimulates plasmablast differentiation","author":"Marcin K.","year":"2014","unstructured":"K. Marcin , H. I. Nakaya , N. Onlamoon , W. Jens , V. Francois , G. C. Perng , S. Yoksan , K. Pattanapanyasat , K. Chokephaibulkit , A. Rafi , Dengue virus infection induces expansion of a cd14 (+) cd16 (+) monocyte population that stimulates plasmablast differentiation . 2014 . K. Marcin, H. I. Nakaya, N. Onlamoon, W. Jens, V. Francois, G. C. Perng, S. Yoksan, K. Pattanapanyasat, K. Chokephaibulkit, A. Rafi, et al. Dengue virus infection induces expansion of a cd14 (+) cd16 (+) monocyte population that stimulates plasmablast differentiation. 2014."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_31_1","DOI":"10.1186\/1471-2105-7-S1-S7"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_32_1","DOI":"10.1155\/2007\/79879"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_33_1","DOI":"10.1109\/TCBB.2014.2318707"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_34_1","DOI":"10.1016\/j.inffus.2008.11.006"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_35_1","DOI":"10.1109\/TCBB.2009.39"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_36_1","DOI":"10.1038\/nrg3253"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_37_1","DOI":"10.1186\/1471-2105-15-S7-S10"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_38_1","DOI":"10.1007\/978-3-319-03844-5_44"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_39_1","DOI":"10.1093\/bioinformatics\/bti062"},{"key":"e_1_3_2_1_40_1","volume-title":"Disease ontology: a backbone for disease semantic integration. Nucleic acids research, 40(D1):D940--D946","author":"Schriml L. M.","year":"2012","unstructured":"L. M. Schriml , C. Arze , S. Nadendla , Y.-W. W. Chang , M. Mazaitis , V. Felix , G. Feng , and W. A. Kibbe . Disease ontology: a backbone for disease semantic integration. Nucleic acids research, 40(D1):D940--D946 , 2012 . L. M. Schriml, C. Arze, S. Nadendla, Y.-W. W. Chang, M. Mazaitis, V. Felix, G. Feng, and W. A. Kibbe. Disease ontology: a backbone for disease semantic integration. Nucleic acids research, 40(D1):D940--D946, 2012."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_41_1","DOI":"10.1371\/journal.pone.0090481"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_42_1","DOI":"10.1196\/annals.1407.021"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_43_1","DOI":"10.1073\/pnas.0506580102"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_44_1","DOI":"10.1038\/10343"},{"key":"e_1_3_2_1_45_1","volume-title":"Protein--protein interaction networks: the puzzling riches. Current opinion in structural biology, 23(6):941--953","author":"Wodak S. J.","year":"2013","unstructured":"S. J. Wodak , J. Vlasblom , A. L. Turinsky , and S. Pu . Protein--protein interaction networks: the puzzling riches. Current opinion in structural biology, 23(6):941--953 , 2013 . S. J. Wodak, J. Vlasblom, A. L. Turinsky, and S. Pu. Protein--protein interaction networks: the puzzling riches. Current opinion in structural biology, 23(6):941--953, 2013."}],"event":{"sponsor":["SIGBio ACM Special Interest Group on Bioinformatics"],"acronym":"BCB '15","name":"BCB '15: ACM International Conference on Bioinformatics, Computational Biology and Biomedicine","location":"Atlanta Georgia"},"container-title":["Proceedings of the 6th ACM Conference on Bioinformatics, Computational Biology and Health Informatics"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2808719.2812218","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2808719.2812218","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T05:07:43Z","timestamp":1750223263000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2808719.2812218"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,9,9]]},"references-count":45,"alternative-id":["10.1145\/2808719.2812218","10.1145\/2808719"],"URL":"https:\/\/doi.org\/10.1145\/2808719.2812218","relation":{},"subject":[],"published":{"date-parts":[[2015,9,9]]},"assertion":[{"value":"2015-09-09","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}