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| Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
|---|---|---|---|
| 1 |
Material Type: Reports
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Obtaining transition rates from single-channel data without initial parameter seedingChannels, 2020, Vol.14 (1), p.87-972020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. 2020 ;ISSN: 1933-6950 ;EISSN: 1933-6969 ;DOI: 10.1080/19336950.2020.1732004Full text available |
| 2 |
Material Type: Reports
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Quantifying trophoblast migration: In vitro approaches to address in vivo situationsCell Adhesion & Migration: Cell adhesion, migration, and fusion in placenta, 2016, Vol.10 (1-2), p.77-872016 Taylor & Francis Group, LLC 2016 ;ISSN: 1933-6918 ;EISSN: 1933-6926 ;DOI: 10.1080/19336918.2015.1083667Full text available |
| 3 |
Material Type: Reports
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Improved sequence variant analysis strategy by automated false positive removalmAbs, 2017, Vol.9 (6), p.978-9842017 The Author(s). Published with license by Taylor & Francis Group, LLC © Wenzhou Li, Jette Wypych, and Robert J. Duff 2017 ;ISSN: 1942-0862 ;EISSN: 1942-0870 ;DOI: 10.1080/19420862.2017.1336591Full text available |
| 4 |
Material Type: Reports
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Prediction of methionine oxidation risk in monoclonal antibodies using a machine learning methodmAbs, 2018, Vol.10 (8), p.1281-12902018 The Author(s). Published with license by Taylor & Francis Group, LLC 2018 ;ISSN: 1942-0862 ;EISSN: 1942-0870 ;DOI: 10.1080/19420862.2018.1518887Full text available |
| 5 |
Material Type: Reports
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Impact of SNPs on CpG Islands in the MYC and HRAS oncogenes and in a wide variety of tumor suppressor genes: A multi-cancer approachCell Cycle, 2016, Vol.15 (12), p.1572-15782016 Taylor & Francis 2016 ;ISSN: 1538-4101 ;EISSN: 1551-4005 ;DOI: 10.1080/15384101.2016.1164360Full text available |
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