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Ahyoung Amy Kim
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Assessing reproducibility and veracity across machine learning techniques in biomedicine: a case study using TCGA data
AA Kim, SR Zaim, V Subbian
International Journal of Medical Informatics 141, 104148, 2020
102020
Karyometry Identifies a Distinguishing Fallop an Tube Epithelium Phenotype in Subjects at High Risk for Ovarian Cancer
SJ Russell, GC Rodriguez, M Yozwiak, C Patel, M Maarouf, HG Bartels, ...
ANALYTICAL AND QUANTITATIVE CYTOPATHOLOGY AND HISTOPATHOLOGY 43 (2), 44-51, 2021
12021
The karyometric signature is altered in fallopian tubes with serous tubal intraepithelial carcinoma
GC Rodriguez, M Yozwiak, OL Nelson, HH Zhang, AA Kim, W Watkin, ...
Gynecologic Oncology 186, 110-116, 2024
2024
Machines learn ecological networks: automated discovery of ecological networks based on empirical data
H Ko, AA Kim, HH Zhang
bioRxiv, 2023.03. 04.527358, 2023
2023
Machine learns ecological networks: Automated reconstruction of community network based on a data-driven approach
H Ko, AA Kim, HH Zhang
2019 ESA Annual Meeting (August 11--16), 2019
2019
DSL-TEACH: Data Science Literacy Training to Enhance Approaches for Clinical decision-making in Healthcare.
SR Zaim, AA Kim, C Kenost, H Zhang, YA Lussier, V Subbian
AMIA, 2019
2019
Karyometry Identifies a Distinguishing Fallopian Tube Epithelium Phenotype in Subjects at High Risk for Ovarian Cancer
SJ Russell, GC Rodriguez, M Yozwiak, C Patel, M Maarouf, HG Bartels, ...
JOURNAL OF INVESTIGATIVE MEDICINE 65 (1), 231-231, 2017
2017
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