{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,22]],"date-time":"2025-02-22T00:45:14Z","timestamp":1740185114842,"version":"3.37.3"},"reference-count":5,"publisher":"Oxford University Press (OUP)","issue":"17","license":[{"start":{"date-parts":[[2019,1,11]],"date-time":"2019-01-11T00:00:00Z","timestamp":1547164800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01GM122084"],"award-info":[{"award-number":["R01GM122084"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,9,1]]},"abstract":"Abstract<\/jats:title>\n \n Summary<\/jats:title>\n Biological processes are characterized by a variety of different genomic feature sets. However, often times when building models, portions of these features are missing for a subset of the dataset. We provide a modeling framework to effectively integrate this type of heterogeneous data to improve prediction accuracy. To test our methodology, we have stacked data from the Cancer Cell Line Encyclopedia to increase the accuracy of drug sensitivity prediction. The package addresses the dynamic regime of information integration involving sequential addition of features and samples.<\/jats:p>\n <\/jats:sec>\n \n Availability and implementation<\/jats:title>\n The framework has been implemented as a R package Sstack, which can be downloaded from https:\/\/cran.r-project.org\/web\/packages\/Sstack\/index.html, where further explanation of the package is available.<\/jats:p>\n <\/jats:sec>\n \n Supplementary information<\/jats:title>\n Supplementary data are available at Bioinformatics online.<\/jats:p>\n <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btz010","type":"journal-article","created":{"date-parts":[[2019,1,4]],"date-time":"2019-01-04T20:11:19Z","timestamp":1546632679000},"page":"3143-3145","source":"Crossref","is-referenced-by-count":0,"title":["Sstack<\/i>: an R package for stacking with applications to scenarios involving sequential addition of samples and features"],"prefix":"10.1093","volume":"35","author":[{"given":"Kevin","family":"Matlock","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering"}]},{"given":"Raziur","family":"Rahman","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering"}]},{"given":"Souparno","family":"Ghosh","sequence":"additional","affiliation":[{"name":"Texas Tech University Department of Mathematics and Statistics, , Lubbock, TX, USA"}]},{"given":"Ranadip","family":"Pal","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering"}]}],"member":"286","published-online":{"date-parts":[[2019,1,11]]},"reference":[{"key":"2023062711304914800_btz010-B1","doi-asserted-by":"crossref","first-page":"603","DOI":"10.1038\/nature11003","article-title":"The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity","volume":"483","author":"Barretina","year":"2012","journal-title":"Nature"},{"key":"2023062711304914800_btz010-B2","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1016\/j.ccell.2017.01.005","article-title":"Characterization of human cancer cell lines by reverse-phase protein arrays","volume":"31","author":"Li","year":"2017","journal-title":"Cancer Cell"},{"key":"2023062711304914800_btz010-B3","doi-asserted-by":"crossref","first-page":"498","DOI":"10.1093\/bib\/bbq080","article-title":"Missing value imputation for gene expression data: computational techniques to recover missing data from available information","volume":"12","author":"Liew","year":"2011","journal-title":"Brief. Bioinform."},{"key":"2023062711304914800_btz010-B4","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1186\/s12859-018-2060-2","article-title":"Investigation of model stacking for drug sensitivity prediction","volume":"19","author":"Matlock","year":"2018","journal-title":"BMC Bioinformatics"},{"key":"2023062711304914800_btz010-B5","doi-asserted-by":"crossref","first-page":"11347","DOI":"10.1038\/s41598-017-11665-4","article-title":"Heterogeneity aware random forest for drug sensitivity prediction","volume":"7","author":"Rahman","year":"2017","journal-title":"Sci. Rep."}],"container-title":["Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/35\/17\/3143\/50719761\/bioinformatics_35_17_3143.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/35\/17\/3143\/50719761\/bioinformatics_35_17_3143.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,27]],"date-time":"2023-06-27T11:31:05Z","timestamp":1687865465000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article\/35\/17\/3143\/5288243"}},"subtitle":[],"editor":[{"given":"John","family":"Hancock","sequence":"additional","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2019,1,11]]},"references-count":5,"journal-issue":{"issue":"17","published-print":{"date-parts":[[2019,9,1]]}},"URL":"https:\/\/doi.org\/10.1093\/bioinformatics\/btz010","relation":{},"ISSN":["1367-4803","1367-4811"],"issn-type":[{"type":"print","value":"1367-4803"},{"type":"electronic","value":"1367-4811"}],"subject":[],"published-other":{"date-parts":[[2019,9,1]]},"published":{"date-parts":[[2019,1,11]]}}}