| Transcriptional programming of normal and inflamed human epidermis at single-cell resolution JB Cheng, AJ Sedgewick, AI Finnegan, P Harirchian, J Lee, S Kwon, ... Cell reports 25 (4), 871-883, 2018 | 220 | 2018 |
| Single-cell transcriptomics reveals spatial and temporal turnover of keratinocyte differentiation regulators A Finnegan, RJ Cho, A Luu, P Harirchian, J Lee, JB Cheng, JS Song Frontiers in genetics 10, 775, 2019 | 55 | 2019 |
| Maximum entropy methods for extracting the learned features of deep neural networks A Finnegan, JS Song PLoS computational biology 13 (10), e1005836, 2017 | 52 | 2017 |
| Epigenetic engineering of yeast reveals dynamic molecular adaptation to methylation stress and genetic modulators of specific DNMT3 family members AI Finnegan, S Kim, H Jin, M Gapinske, WS Woods, P Perez-Pinera, ... Nucleic acids research 48 (8), 4081-4099, 2020 | 16 | 2020 |
| A unified computational framework for modeling genome-wide nucleosome landscape H Jin, AI Finnegan, JS Song Physical biology 15 (6), 066011, 2018 | 4 | 2018 |
| Understanding machine learning models of the epigenome with statistics and statistical mechanics AI Finnegan University of Illinois at Urbana-Champaign, 2020 | | 2020 |
| Transcriptional Programming of Normal and Inflamed Human Epidermis at Single-Cell JB Cheng, AJ Sedgewick, AI Finnegan | | 2018 |
| Functional Consequences of Methylating the Unmethylated Yeast Genome A Finnegan, H Jin, M Gapinske, W Woods, P Perez-Pinera, J Song APS March Meeting Abstracts 2018, R49. 005, 2018 | | 2018 |
