Estimation of current and future physiological states in insular cortex Y Livneh, AU Sugden, JC Madara, RA Essner, VI Flores, LA Sugden, ... Neuron 105 (6), 1094-1111. e10, 2020 | 171 | 2020 |
Localization of adaptive variants in human genomes using averaged one-dependence estimation LA Sugden, EG Atkinson, AP Fischer, S Rong, BM Henn, ... Nature communications 9 (1), 703, 2018 | 88 | 2018 |
Auto-regulatory RNA editing fine-tunes mRNA re-coding and complex behaviour in Drosophila YA Savva, JEC Jepson, A Sahin, AU Sugden, JS Dorsky, L Alpert, ... Nature communications 3 (1), 790, 2012 | 55 | 2012 |
Next-generation SELEX identifies sequence and structural determinants of splicing factor binding in human pre-mRNA sequence DC Reid, BL Chang, SI Gunderson, L Alpert, WA Thompson, ... Rna 15 (12), 2385-2397, 2009 | 55 | 2009 |
Cortical reactivations of recent sensory experiences predict bidirectional network changes during learning AU Sugden, JD Zaremba, LA Sugden, KL McGuire, A Lutas, RN Ramesh, ... Nature neuroscience 23 (8), 981-991, 2020 | 29 | 2020 |
RNAG: a new Gibbs sampler for predicting RNA secondary structure for unaligned sequences D Wei, LV Alpert, CE Lawrence Bioinformatics 27 (18), 2486-2493, 2011 | 27 | 2011 |
Assessing the validity and reproducibility of genome-scale predictions LA Sugden, MR Tackett, YA Savva, WA Thompson, CE Lawrence Bioinformatics 29 (22), 2844-2851, 2013 | 10 | 2013 |
Evaluation of lumbar medial branch blocks: how does the second block influence progression to radiofrequency ablation? DA Provenzano, JE Leech, JS Kilgore, LA Sugden Regional Anesthesia & Pain Medicine, 2022 | 5 | 2022 |
Localization of adaptive variants in human genomes using averaged one-dependence estimation. Nat. Commun. 9: 703 LA Sugden, EG Atkinson, AP Fischer, S Rong, BM Henn, ... | 5 | 2018 |
Integrating the signatures of demic expansion and archaic introgression in studies of human population genomics LA Sugden, S Ramachandran Current opinion in genetics & development 41, 140-149, 2016 | 5 | 2016 |
Enabling interpretable machine learning for biological data with reliability scores KD Ahlquist, LA Sugden, S Ramachandran PLOS Computational Biology 19 (5), e1011175, 2023 | 2 | 2023 |
On convolutional neural networks for selection inference: revealing the lurking role of preprocessing, and the surprising effectiveness of summary statistics RM Cecil, LA Sugden bioRxiv, 2023.02. 26.530156, 2023 | 2 | 2023 |
Evaluation of lumbar medial branch blocks: how does the second block influence progression to radiofrequency ablation? An infographic DA Provenzano, JE Leech, JS Kilgore, LA Sugden Regional Anesthesia and Pain Medicine, rapm-2022-104130, 2022 | 2 | 2022 |
Transcriptomics and chromatin accessibility in multiple African population samples MK DeGorter, PC Goddard, E Karakoc, S Kundu, SM Yan, D Nachun, ... bioRxiv, 2023 | 1 | 2023 |
On convolutional neural networks for selection inference: Revealing the effect of preprocessing on model learning and the capacity to discover novel patterns RM Cecil, LA Sugden PLoS computational biology 19 (11), e1010979, 2023 | | 2023 |
Statistical inference of adaptation at multiple genomic scales using supervised classification and a hidden Markov model LA Sugden | | 2020 |
Structure, Variation, and Reproducibility: Bayesian inference in problems arising from the study of RNA and an RNA-binding protein LA Sugden Brown University PROVIDENCE, RHODE ISLAND, 2014 | | 2014 |