{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T11:43:07Z","timestamp":1753875787639,"version":"3.41.2"},"reference-count":17,"publisher":"Oxford University Press (OUP)","issue":"11","license":[{"start":{"date-parts":[[2024,11,6]],"date-time":"2024-11-06T00:00:00Z","timestamp":1730851200000},"content-version":"vor","delay-in-days":5,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Ontario Graduate Scholarship"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,11,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Summary<\/jats:title>\n                  <jats:p>We present ADTGP, an R package that uses Gaussian process regression to correct droplet-specific technical noise in single-cell protein sequencing data. ADTGP improves the interpretability of the data by modeling the distribution of protein expression, conditioned on equal isotype control counts across cells. ADTGP is written in R and needs only the protein raw counts, isotype control raw counts, and a design matrix to run.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Availability and implementation<\/jats:title>\n                  <jats:p>ADTGP can be installed from https:\/\/github.com\/northNomad\/ADTGP. It depends on Stan and the R package \u2018cmdstanr\u2019.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btae660","type":"journal-article","created":{"date-parts":[[2024,11,6]],"date-time":"2024-11-06T19:49:41Z","timestamp":1730922581000},"source":"Crossref","is-referenced-by-count":0,"title":["ADTGP: correcting single-cell antibody sequencing data using Gaussian process regression"],"prefix":"10.1093","volume":"40","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2704-329X","authenticated-orcid":false,"given":"Alex C H","family":"Liu","sequence":"first","affiliation":[{"name":"Princess Margaret Cancer Centre , Toronto, Ontario, M5G 1L7,","place":["Canada"]},{"name":"Department of Medical Biophysics, University of Toronto , Toronto, Ontario, M5G 1L7,","place":["Canada"]}]},{"given":"Steven M","family":"Chan","sequence":"additional","affiliation":[{"name":"Princess Margaret Cancer Centre , Toronto, Ontario, M5G 1L7,","place":["Canada"]},{"name":"Department of 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