{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:08:09Z","timestamp":1750306089994,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":31,"publisher":"ACM","license":[{"start":{"date-parts":[[2017,8,20]],"date-time":"2017-08-20T00:00:00Z","timestamp":1503187200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100008523","name":"Center for Clinical and Translational Science, University of Illinois at Chicago","doi-asserted-by":"publisher","award":["UL1TR002003"],"award-info":[{"award-number":["UL1TR002003"]}],"id":[{"id":"10.13039\/100008523","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2017,8,20]]},"DOI":"10.1145\/3107411.3107429","type":"proceedings-article","created":{"date-parts":[[2017,8,24]],"date-time":"2017-08-24T11:58:11Z","timestamp":1503575891000},"page":"295-304","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Detection of Differential Abundance Intervals in Longitudinal Metagenomic Data Using Negative Binomial Smoothing Spline ANOVA"],"prefix":"10.1145","author":[{"given":"Ahmed A.","family":"Metwally","sequence":"first","affiliation":[{"name":"University of Illinois at Chicago, Chicago, IL, USA"}]},{"given":"Patricia W.","family":"Finn","sequence":"additional","affiliation":[{"name":"University of Illinois at Chicago, Chicago, IL, USA"}]},{"given":"Yang","family":"Dai","sequence":"additional","affiliation":[{"name":"University of Illinois at Chicago, Chicago, IL, USA"}]},{"given":"David L.","family":"Perkins","sequence":"additional","affiliation":[{"name":"University of Illinois at Chicago, Chicago, IL, USA"}]}],"member":"320","published-online":{"date-parts":[[2017,8,20]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0097214"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1038\/nrg3182"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-pathol-011811-132421"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"crossref","unstructured":"C. Gu \"Smoothing Spline ANOVA Models \" 2012. C. Gu \"Smoothing Spline ANOVA Models \" 2012.","DOI":"10.1007\/978-1-4614-5369-7"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1038\/srep37565"},{"volume-title":"Studying Vertical Microbiome Transmission from Mothers to Infants by Strain-Level Metagenomic Profiling.,\" mSystems","author":"Asnicar F.","key":"e_1_3_2_1_6_1","unstructured":"F. Asnicar , S. Manara , M. Zolfo , D. T. Truong , M. Scholz , F. Armanini , P. Ferretti , V. Gorfer , A. Pedrotti , A. Tett , and N. Segata , \" Studying Vertical Microbiome Transmission from Mothers to Infants by Strain-Level Metagenomic Profiling.,\" mSystems , vol. 2 , no. 1, 2017. F. Asnicar, S. Manara, M. Zolfo, D. T. Truong, M. Scholz, F. Armanini, P. Ferretti, V. Gorfer, A. Pedrotti, A. Tett, and N. Segata, \"Studying Vertical Microbiome Transmission from Mothers to Infants by Strain-Level Metagenomic Profiling.,\" mSystems, vol. 2, no. 1, 2017."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1186\/s13059-015-0639-8"},{"key":"e_1_3_2_1_8_1","first-page":"99457","volume-title":"Longitudinal differential abundance analysis of microbial marker-gene surveys using smoothing splines,\" bioRxiv","author":"Paulson J. N.","year":"2017","unstructured":"J. N. Paulson , H. Talukder , and H. C. Bravo , \" Longitudinal differential abundance analysis of microbial marker-gene surveys using smoothing splines,\" bioRxiv , p. 99457 , 2017 . J. N. Paulson, H. Talukder, and H. C. Bravo, \"Longitudinal differential abundance analysis of microbial marker-gene surveys using smoothing splines,\" bioRxiv, p. 99457, 2017."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btw828"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1038\/nmeth.2658"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.18637\/jss.v058.i05"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1034713638"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btu333"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bbrc.2015.12.083"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btw183"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gks678"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1186\/gb-2014-15-3-r46"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0163527"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkq275"},{"key":"e_1_3_2_1_20_1","first-page":"D355","volume-title":"KEGG for representation and analysis of molecular networks involving diseases and drugs.,\" Nucleic Acids Res","author":"Kanehisa M.","year":"2010","unstructured":"M. Kanehisa , S. Goto , M. Furumichi , M. Tanabe , and M. Hirakawa , \" KEGG for representation and analysis of molecular networks involving diseases and drugs.,\" Nucleic Acids Res ., vol. 38 , no. Database issue, pp. D355 -- D360 , Jan. 2010 . M. Kanehisa, S. Goto, M. Furumichi, M. Tanabe, and M. Hirakawa, \"KEGG for representation and analysis of molecular networks involving diseases and drugs.,\" Nucleic Acids Res., vol. 38, no. Database issue, pp. D355--60, Jan. 2010."},{"key":"e_1_3_2_1_21_1","unstructured":"M. Wallroth \"Normalization of metagenomic data A comprehensive evaluation of existing methods.\" M. Wallroth \"Normalization of metagenomic data A comprehensive evaluation of existing methods.\""},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1186\/s13059-014-0550-8"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btp616"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12864-016-2386-y"},{"issue":"1","key":"e_1_3_2_1_25_1","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1111\/j.2517-6161.1995.tb02031.x","article-title":"Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing on JSTOR","volume":"57","author":"Benjamini Y.","year":"1995","unstructured":"Y. Benjamini and Y. Hochberg , \" Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing on JSTOR ,\" J. R. Stat. Soc. , vol. 57 , no. 1 , pp. 289 -- 300 , 1995 . Y. Benjamini and Y. Hochberg, \"Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing on JSTOR,\" J. R. Stat. Soc., vol. 57, no. 1, pp. 289--300, 1995.","journal-title":"J. R. Stat. Soc."},{"key":"e_1_3_2_1_26_1","unstructured":"V. Erhardt \"corcounts \" 2015. {Online}. Available: https:\/\/cran.r-project.org\/web\/packages\/corcounts\/corcounts.pdf. {Accessed: 22-Apr-2017}. V. Erhardt \"corcounts \" 2015. {Online}. Available: https:\/\/cran.r-project.org\/web\/packages\/corcounts\/corcounts.pdf. {Accessed: 22-Apr-2017}."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.mib.2015.04.004"},{"key":"e_1_3_2_1_28_1","volume-title":"The analysis of time series: an introduction","author":"Chatfield C.","year":"2016","unstructured":"C. Chatfield , The analysis of time series: an introduction . 2016 . C. Chatfield, The analysis of time series: an introduction. 2016."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1979.10481038"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.chom.2015.01.001"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1038\/nmeth.2066"}],"event":{"name":"BCB '17: 8th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics","sponsor":["SIGBio ACM Special Interest Group on Bioinformatics"],"location":"Boston Massachusetts USA","acronym":"BCB '17"},"container-title":["Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology,and Health Informatics"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3107411.3107429","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3107411.3107429","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T03:30:21Z","timestamp":1750217421000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3107411.3107429"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,8,20]]},"references-count":31,"alternative-id":["10.1145\/3107411.3107429","10.1145\/3107411"],"URL":"https:\/\/doi.org\/10.1145\/3107411.3107429","relation":{},"subject":[],"published":{"date-parts":[[2017,8,20]]},"assertion":[{"value":"2017-08-20","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}