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Katie Ovens
Katie Ovens
Verified email at ucalgary.ca
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Cited by
Year
Gene set analysis: challenges, opportunities, and future research
F Maleki, K Ovens, DJ Hogan, AJ Kusalik
Frontiers in genetics 11, 531777, 2020
1692020
Brief history of artificial intelligence
N Muthukrishnan, F Maleki, K Ovens, C Reinhold, B Forghani, R Forghani
Neuroimaging Clinics of North America 30 (4), 393-399, 2020
1182020
Machine learning algorithm validation: from essentials to advanced applications and implications for regulatory certification and deployment
F Maleki, N Muthukrishnan, K Ovens, C Reinhold, R Forghani
Neuroimaging Clinics 30 (4), 433-445, 2020
962020
Size matters: how sample size affects the reproducibility and specificity of gene set analysis
F Maleki, K Ovens, I McQuillan, AJ Kusalik
Human genomics 13, 1-12, 2019
532019
Overview of machine learning part 1: fundamentals and classic approaches
F Maleki, K Ovens, K Najafian, B Forghani, C Reinhold, R Forghani
Neuroimaging Clinics 30 (4), e17-e32, 2020
522020
How useful are delta checks in the 21st century? A stochastic-dynamic model of specimen mix-up and detection
K Ovens, C Naugler
Journal of Pathology Informatics 3 (1), 5, 2012
522012
Comparative analyses of gene co-expression networks: Implementations and applications in the study of evolution
K Ovens, BF Eames, I McQuillan
Frontiers in Genetics 12, 695399, 2021
362021
Generalizability of machine learning models: Quantitative evaluation of three methodological pitfalls
F Maleki, K Ovens, R Gupta, C Reinhold, A Spatz, R Forghani
Radiology: Artificial Intelligence 5 (1), e220028, 2022
292022
Preliminary evidence of different selection pressures on cancer cells as compared to normal tissues
K Ovens, C Naugler
Theoretical Biology and Medical Modelling 9, 1-11, 2012
192012
Measuring consistency among gene set analysis methods: a systematic study
F Maleki, KL Ovens, DJ Hogan, E Rezaei, AM Rosenberg, AJ Kusalik
Journal of bioinformatics and computational biology 17 (05), 1940010, 2019
162019
Juxtapose: a gene-embedding approach for comparing co-expression networks
K Ovens, F Maleki, BF Eames, I McQuillan
BMC bioinformatics 22, 1-26, 2021
132021
Site-specific variation in radiomic features of head and neck squamous cell carcinoma and its impact on machine learning models
X Liu, F Maleki, N Muthukrishnan, K Ovens, SH Huang, A Pérez-Lara, ...
Cancers 13 (15), 3723, 2021
92021
Gene set databases: a fountain of knowledge or a siren call?
F Maleki, K Ovens, I McQuillan, E Rezaei, AM Rosenberg, AJ Kusalik
Proceedings of the 10th ACM International Conference on Bioinformatics …, 2019
92019
The impact of sample size and tissue type on the reproducibility of gene co-expression networks
K Ovens, BF Eames, I McQuillan
Proceedings of the 11th ACM International Conference on Bioinformatics …, 2020
72020
Gene set analysis: Challenges, opportunities, and future research. Front Genet. 2020; 11: 654
F Maleki, K Ovens, DJ Hogan, AJ Kusalik
52020
Method Choice in Gene Set Analysis Has Important Consequences for Analysis Outcome.
F Maleki, KL Ovens, E Rezaei, AM Rosenberg, AJ Kusalik
BIOINFORMATICS, 43-54, 2019
52019
Limb mesoderm and head ectomesenchyme both express a core transcriptional program during chondrocyte differentiation
P Gomez-Picos, K Ovens, BF Eames
Frontiers in Cell and Developmental Biology 10, 876825, 2022
32022
A deep learning-based pipeline for celiac disease diagnosis using histopathological images
F Maleki, K Cote, K Najafian, K Ovens, Y Miao, R Zakarian, C Reinhold, ...
Computer Analysis of Images and Patterns: 19th International Conference …, 2021
32021
pineplot: an R package for visualizing symmetric relationships
KL Ovens, DJ Hogan, F Maleki, I McQuillan, AJ Kusalik
Proceedings of the tenth international conference on computational systems …, 2019
32019
Bone microstructure and bone mineral density are not systemically different in Antarctic icefishes and related Antarctic notothenioids
AM Ashique, OJ Atake, K Ovens, R Guo, IV Pratt, HW Detrich III, ...
Journal of Anatomy 240 (1), 34-49, 2022
22022
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Articles 1–20