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Aylin Cakiroglu
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Implications for post critical illness trial design: sub-phenotyping trajectories of functional recovery among sepsis survivors
ZA Puthucheary, JS Gensichen, AS Cakiroglu, R Cashmore, L Edbrooke, ...
Critical Care 24, 1-12, 2020
392020
Methods for enhancing the reproducibility of biomedical research findings using electronic health records
S Denaxas, K Direk, A Gonzalez-Izquierdo, M Pikoula, A Cakiroglu, ...
BioData mining 10, 1-19, 2017
372017
Genome-wide reconstitution of chromatin transactions reveals that RSC preferentially disrupts H2AZ-containing nucleosomes
A Cakiroglu, CR Clapier, AH Ehrensberger, E Darbo, BR Cairns, ...
Genome Research 29 (6), 988-998, 2019
272019
Backmasking in the yeast genome: encoding overlapping information for protein-coding and RNA degradation
SA Cakiroglu, JB Zaugg, NM Luscombe
Nucleic Acids Research 44 (17), 8065-8072, 2016
162016
Optimal regular graph designs
SA Cakiroglu
Statistics and Computing 28, 103-112, 2018
82018
ChromWave: Deciphering the DNA-encoded competition between transcription factors and nucleosomes with deep neural networks
SA Cakiroglu, S Steinhauser, J Smith, W Xing, NM Luscombe
bioRxiv, 436198, 2021
22021
Selective recruitment designs for improving observational studies using electronic health records
JE Barrett, A Cakiroglu, C Bunce, A Shah, S Denaxas
Statistics in Medicine 39 (19), 2556-2567, 2020
22020
An upper bound on the algebraic connectivity of regular graphs
SA Cakiroglu
arXiv preprint arXiv:1503.01758, 2015
22015
A combinatorial approach to optimal designs.
SA Cakiroglu
Queen Mary University of London, 2013
12013
Diffsurv: Differentiable sorting for censored time-to-event data
A Vauvelle, B Wild, A Cakiroglu, R Eils, S Denaxas
arXiv preprint arXiv:2304.13594, 2023
2023
ChromWave: Deciphering the DNA-encoded competition between transcription factors and nucleosomes with deep neural networks
W Xing, J Smith, SA Cakiroglu, NM Luscombe, S Steinhauser
SSRN Electronic Journal, 2021
2021
Early Functional Recovery Trajectories of Chronic Critically Ill Patients: An Observational Cohort Study
E Corner, Z Puthucheary, A Cakiroglu, SJ Brett
D14. CRITICAL CARE: GREAT EXPECTATIONS-RECOVERY AND OUTCOMES AFTER CRITICAL …, 2019
2019
Optimal BIBD-extended designs
SA Cakiroglu, PJ Cameron
arXiv preprint arXiv:1902.04496, 2019
2019
Optimal BIBD-extended designs
S Aylin Cakiroglu, PJ Cameron
arXiv e-prints, arXiv: 1902.04496, 2019
2019
An upper bound on the algebraic connectivity of regular graphs
S Aylin Cakiroglu
arXiv e-prints, arXiv: 1503.01758, 2015
2015
Optimal Regular Graph Designs
S Aylin Cakiroglu
arXiv e-prints, arXiv: 1502.05287, 2015
2015
2.2 Implikationen für zukünftige Studiendesigns anhand von Verlaufsformen motorischer Funktion nach Sepsis
ZA Puthucheary, JS Gensichen, AS Cakiroglu, R Cashmore, L Edbrooke, ...
Habilitationsschrift:„Hausärztliche Versorgung nach Intensivtherapie “, 79, 0
Methods for enhancing the reproducibility of biomedical research findings using
S Denaxas, K Direk, A Gonzalez-Izquierdo, M Pikoula, A Cakiroglu, ...
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