| Lineage-specific genome architecture links enhancers and non-coding disease variants to target gene promoters BM Javierre, OS Burren, SP Wilder, R Kreuzhuber, SM Hill, S Sewitz, ... Cell 167 (5), 1369-1384. e19, 2016 | 1020 | 2016 |
| A pan-cancer proteomic perspective on The Cancer Genome Atlas R Akbani, PKS Ng, HMJ Werner, M Shahmoradgoli, F Zhang, Z Ju, W Liu, ... Nature communications 5 (1), 3887, 2014 | 569 | 2014 |
| Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen MP Menden, D Wang, MJ Mason, B Szalai, KC Bulusu, Y Guan, T Yu, ... Nature communications 10 (1), 2674, 2019 | 301 | 2019 |
| Inferring causal molecular networks: empirical assessment through a community-based effort SM Hill, LM Heiser, T Cokelaer, M Unger, NK Nesser, DE Carlin, Y Zhang, ... Nature methods 13 (4), 310-318, 2016 | 252 | 2016 |
| Bayesian Inference of Signaling Network Topology in a Cancer Cell Line SM Hill, Y Lu, J Molina, LM Heiser, PT Spellman, TP Speed, JW Gray, ... Bioinformatics 28, 2804–2810, 2012 | 127 | 2012 |
| cfDNA methylome profiling for detection and subtyping of small cell lung cancers F Chemi, SP Pearce, A Clipson, SM Hill, AM Conway, SA Richardson, ... Nature Cancer 3 (10), 1260-1270, 2022 | 73 | 2022 |
| Functional proteomics identifies miRNAs to target a p27/Myc/phospho-Rb signature in breast and ovarian cancer EG Seviour, V Sehgal, Y Lu, Z Luo, T Moss, F Zhang, SM Hill, W Liu, ... Oncogene 35 (6), 691-701, 2016 | 62 | 2016 |
| The alzheimer's disease prediction of longitudinal evolution (TADPOLE) challenge: Results after 1 year follow-up RV Marinescu, NP Oxtoby, AL Young, EE Bron, AW Toga, MW Weiner, ... Machine Learning for Biomedical Imaging 1, 1-60, 2021 | 57 | 2021 |
| Do small worlds synchronize fastest? C Grabow, SM Hill, S Grosskinsky, M Timme EPL (Europhysics Letters) 90, 48002, 2010 | 55 | 2010 |
| Context-specificity in causal signaling networks revealed by phosphoprotein profiling SM Hill, NK Nesser, K Johnson-Camacho, M Jeffress, A Johnson, ... Cell Systems 4 (1), 73-83.e10, 2017 | 52 | 2017 |
| High-dimensional regression in practice: an empirical study of finite-sample prediction, variable selection and ranking F Wang, S Mukherjee, S Richardson, SM Hill Statistics and Computing 30, 697-719, 2020 | 37 | 2020 |
| Integrating biological knowledge into variable selection: an empirical Bayes approach with an application in cancer biology SM Hill, RM Neve, N Bayani, WL Kuo, S Ziyad, PT Spellman, JW Gray, ... BMC Bioinformatics 13 (1), 94, 2012 | 35 | 2012 |
| DREAMTools: a Python package for scoring collaborative challenges [version 1; referees: 3 approved with reservations] T Cokelaer, M Bansal, C Bare, E Bilal, BM Bot, EC Neto, F Eduati, ... F1000Research 4, 1030, 2015 | 29 | 2015 |
| Molecular heterogeneity at the network level: high-dimensional testing, clustering and a TCGA case study N Städler, F Dondelinger, SM Hill, R Akbani, Y Lu, GB Mills, S Mukherjee Bioinformatics 33 (18), 2890-2896, 2017 | 21 | 2017 |
| Network clustering: probing biological heterogeneity by sparse graphical models S Mukherjee, SM Hill Bioinformatics 27 (7), 994-1000, 2011 | 21 | 2011 |
| Network-based clustering with mixtures of L1-penalized Gaussian graphical models: an empirical investigation SM Hill, S Mukherjee arXiv preprint arXiv:1301.2194, 2013 | 19 | 2013 |
| Inferring network structure from interventional time-course experiments SEF Spencer, SM Hill, S Mukherjee The Annals of Applied Statistics 9 (1), 507-524, 2015 | 16 | 2015 |
| Corrigendum: A pan-cancer proteomic perspective on The Cancer Genome Atlas R Akbani, PKS Ng, HMJ Werner, M Shahmoradgoli, F Zhang, Z Ju, W Liu, ... Nature communications 6, 2015 | 10 | 2015 |
| Causal Learning via Manifold Regularization SM Hill, C Oates, DA Blythe, S Mukherjee Journal of Machine Learning Research 20, 1-32, 2019 | 9 | 2019 |
| Genome-wide perturbations by miRNAs map onto functional cellular pathways, identifying regulators of chromatin modifiers TJ Moss, Z Luo, EG Seviour, V Sehgal, Y Lu, SM Hill, R Rupaimoole, ... npj Systems Biology and Applications 1, 15001, 2015 | 8 | 2015 |
Joe GrayBiomedical Engineering, Oregon Health and Science UniversityVerified email at ohsu.edu
