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Page 1
Predicting Antimicrobial Resistance Using Partial Genome Alignments.
Aytan-Aktug D, Nguyen M, Clausen PTLC, Stevens RL, Aarestrup FM, Lund O, Davis JJ. Aytan-Aktug D, et al. mSystems. 2021 Jun 29;6(3):e0018521. doi: 10.1128/mSystems.00185-21. Epub 2021 Jun 15. mSystems. 2021. PMID: 34128695 Free PMC article.
PlasmidHostFinder: Prediction of Plasmid Hosts Using Random Forest.
Aytan-Aktug D, Clausen PTLC, Szarvas J, Munk P, Otani S, Nguyen M, Davis JJ, Lund O, Aarestrup FM. Aytan-Aktug D, et al. mSystems. 2022 Apr 26;7(2):e0118021. doi: 10.1128/msystems.01180-21. Epub 2022 Apr 6. mSystems. 2022. PMID: 35382558 Free PMC article.
Data integration for prediction of weight loss in randomized controlled dietary trials.
Nielsen RL, Helenius M, Garcia SL, Roager HM, Aytan-Aktug D, Hansen LBS, Lind MV, Vogt JK, Dalgaard MD, Bahl MI, Jensen CB, Muktupavela R, Warinner C, Aaskov V, Gøbel R, Kristensen M, Frøkiær H, Sparholt MH, Christensen AF, Vestergaard H, Hansen T, Kristiansen K, Brix S, Petersen TN, Lauritzen L, Licht TR, Pedersen O, Gupta R. Nielsen RL, et al. Among authors: aytan aktug d. Sci Rep. 2020 Nov 18;10(1):20103. doi: 10.1038/s41598-020-76097-z. Sci Rep. 2020. PMID: 33208769 Free PMC article.
A genomic data resource for predicting antimicrobial resistance from laboratory-derived antimicrobial susceptibility phenotypes.
VanOeffelen M, Nguyen M, Aytan-Aktug D, Brettin T, Dietrich EM, Kenyon RW, Machi D, Mao C, Olson R, Pusch GD, Shukla M, Stevens R, Vonstein V, Warren AS, Wattam AR, Yoo H, Davis JJ. VanOeffelen M, et al. Among authors: aytan aktug d. Brief Bioinform. 2021 Nov 5;22(6):bbab313. doi: 10.1093/bib/bbab313. Brief Bioinform. 2021. PMID: 34379107 Free PMC article.
A roadmap for the generation of benchmarking resources for antimicrobial resistance detection using next generation sequencing.
Petrillo M, Fabbri M, Kagkli DM, Querci M, Van den Eede G, Alm E, Aytan-Aktug D, Capella-Gutierrez S, Carrillo C, Cestaro A, Chan KG, Coque T, Endrullat C, Gut I, Hammer P, Kay GL, Madec JY, Mather AE, McHardy AC, Naas T, Paracchini V, Peter S, Pightling A, Raffael B, Rossen J, Ruppé E, Schlaberg R, Vanneste K, Weber LM, Westh H, Angers-Loustau A. Petrillo M, et al. Among authors: aytan aktug d. F1000Res. 2021 Feb 8;10:80. doi: 10.12688/f1000research.39214.2. eCollection 2021. F1000Res. 2021. PMID: 35847383 Free PMC article.
Can Machine Learning Models Predict Asparaginase-associated Pancreatitis in Childhood Acute Lymphoblastic Leukemia.
Nielsen RL, Wolthers BO, Helenius M, Albertsen BK, Clemmensen L, Nielsen K, Kanerva J, Niinimäki R, Frandsen TL, Attarbaschi A, Barzilai S, Colombini A, Escherich G, Aytan-Aktug D, Liu HC, Möricke A, Samarasinghe S, van der Sluis IM, Stanulla M, Tulstrup M, Yadav R, Zapotocka E, Schmiegelow K, Gupta R. Nielsen RL, et al. Among authors: aytan aktug d. J Pediatr Hematol Oncol. 2022 Apr 1;44(3):e628-e636. doi: 10.1097/MPH.0000000000002292. J Pediatr Hematol Oncol. 2022. PMID: 35226426 Free PMC article.