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Lauren Alpert Sugden
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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
1662020
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
882018
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
552012
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
552009
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
282020
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
272011
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
102013
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, ...
52018
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
52016
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
42022
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
22023
Transcriptomics and chromatin accessibility in multiple African population samples
MK DeGorter, PC Goddard, E Karakoc, S Kundu, SM Yan, D Nachun, ...
bioRxiv, 2023
12023
Enabling interpretable machine learning for biological data with reliability scores
KD Ahlquist, LA Sugden, S Ramachandran
PLOS Computational Biology 19 (5), e1011175, 2023
12023
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
12022
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
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Articles 1–17