Google Scholar for the full list.
Statistical Learning
NC Chung (2020) Statistical significance of cluster membership for unsupervised evaluation of cell identities. Bioinformatics; R Software
NC Chung, B Miasojedow, M Startek, A Gambin (2019) Jaccard/Tanimoto similarity test and estimation methods for biological presence-absence data. BMC bioinformatics; R Software
NC Chung, JD Storey (2015). Statistical significance of variables driving systematic variation in high-dimensional data. Bioinformatics; R Software
Deep Learning
L Brockic, NC Chung (2023). Feature Perturbation Augmentation for Reliable Evaluation of Importance Estimators ICLR 2023 Workshop on Trustworthy Machine Learning. Python code
L Brockic, NC Chung (2023). Evaluation of Interpretability Methods and Perturbation Artifacts in Deep Neural Networks ICLR 2023 Tiny Paper.
L Brocki*, W Marchadour*, Bogdan Badic, P Papadimitroulasa, M Hatt, F Vermet, NC Chung (2022)
Evaluation of Importance Estimators in Deep Learning Classifiers for Computed Tomography International Workshop on Explainable, Transparent Autonomous Agents and Multi-Agent Systems (EXTRAAMAS) at AAMAS 2023; PDF
Genomics & Proteomics
HJ Painter, NC Chung, A Sebastian, I Albert, JD Storey, M Llinás (2018). Genome-wide real-time in vivo transcriptional dynamics during Plasmodium falciparum blood-stage development. Nature Communications; PlasmoDB; Figshare Data
NC Chung, J Szyda, M Frąszczak, 1000 Bull Genomes Project (2018). Population Structure Analysis of Bull Genomes of European and Western Ancestry. Scientific Reports
J Wang*, H Choi*, NC Chung, Q Cao, DCM Ng, B Mirza, SB Scruggs, D Wang, AO Garlid, P Ping (2018). Integrated dissection of the cysteine oxidative post-translational modification proteome during cardiac hypertrophy. Journal of Proteome Research; PDF; ProteomeXchange
* denote multiple first authors