| Caloric restriction disrupts the microbiota and colonization resistance RJ von Schwartzenberg, JE Bisanz, S Lyalina, P Spanogiannopoulos, ... Nature 595 (7866), 272-277, 2021 | 183 | 2021 |
| Cooking shapes the structure and function of the gut microbiome RN Carmody, JE Bisanz, BP Bowen, CF Maurice, S Lyalina, KB Louie, ... Nature microbiology 4 (12), 2052-2063, 2019 | 157 | 2019 |
| Topical silver diamine fluoride for dental caries arrest in preschool children: A randomized controlled trial and microbiological analysis of caries associated microbes and … P Milgrom, JA Horst, S Ludwig, M Rothen, BW Chaffee, S Lyalina, ... Journal of dentistry 68, 72-78, 2018 | 145 | 2018 |
| Whole-genome sequencing of drug-resistant Salmonella enterica isolates from dairy cattle and humans in New York and Washington states reveals source and geographic associations LM Carroll, M Wiedmann, H den Bakker, J Siler, S Warchocki, D Kent, ... Applied and environmental microbiology 83 (12), e00140-17, 2017 | 111 | 2017 |
| Exome sequencing in 32 patients with anophthalmia/microphthalmia and developmental eye defects AM Slavotinek, ST Garcia, G Chandratillake, T Bardakjian, E Ullah, D Wu, ... Clinical genetics 88 (5), 468-473, 2015 | 79 | 2015 |
| Meta-analysis of vaginal microbiome data provides new insights into preterm birth I Kosti, S Lyalina, KS Pollard, AJ Butte, M Sirota Frontiers in Microbiology 11, 476, 2020 | 76 | 2020 |
| Identifying phenotypic signatures of neuropsychiatric disorders from electronic medical records S Lyalina, B Percha, P LePendu, SV Iyer, RB Altman, NH Shah Journal of the American Medical Informatics Association 20 (e2), e297-e305, 2013 | 74 | 2013 |
| Gut microbiome stability and dynamics in healthy donors and patients with non-gastrointestinal cancers AL Byrd, M Liu, KE Fujimura, S Lyalina, DR Nagarkar, B Charbit, ... Journal of Experimental Medicine 218 (1), 2021 | 56 | 2021 |
| Development of inflammatory bowel disease is linked to a longitudinal restructuring of the gut metagenome in mice T Sharpton, S Lyalina, J Luong, J Pham, EM Deal, C Armour, C Gaulke, ... Msystems 2 (5), 10.1128/msystems. 00036-17, 2017 | 46 | 2017 |
| Penalized regression for left-truncated and right-censored survival data SF McGough, D Incerti, S Lyalina, R Copping, B Narasimhan, R Tibshirani Statistics in Medicine 40 (25), 5487–5500, 2021 | 37 | 2021 |
| AlleleAnalyzer: a tool for personalized and allele-specific sgRNA design KC Keough, S Lyalina, MP Olvera, S Whalen, BR Conklin, KS Pollard Genome biology 20, 1-9, 2019 | 29 | 2019 |
| Development of inflammatory bowel disease is linked to a longitudinal restructuring of the gut metagenome in mice. mSystems 2: e00036-17 T Sharpton, S Lyalina, J Luong, J Pham, EM Deal, C Armour, C Gaulke, ... | 10 | 2017 |
| Single cell genome sequencing of laboratory mouse microbiota improves taxonomic and functional resolution of this model microbial community S Lyalina, R Stepanauskas, F Wu, S Sanjabi, KS Pollard Plos one 17 (4), e0261795, 2022 | 4 | 2022 |
| Negative impact of the GABA pathway on aPD (L) 1 immunotherapy S Lyalina, G Ortiz-Munoz, K Yuen, I Mellman, S Mariathasan, M Albert, ... Cancer Research 83 (7_Supplement), 4439-4439, 2023 | 1 | 2023 |
| Manganese-enhanced MRI detects live human amnion-derived mesenchymal stem cells in vivo after transplantation and restoration of myocardial function in a pig ischemia … R Dash, I Toma, F Ikeno, JK Lyons, S Heidary, MC Parent, INE Wang, ... Journal of Cardiovascular Magnetic Resonance 14, 1-4, 2012 | 1 | 2012 |
| A deep learning model for automated total metabolic tumor volume quantification in patients with FDG-avid lymphomas T Xu, S Jemaa, M Kumar, S Balasubramanian, A Shamas-Din, S Lyalina, ... Journal of Nuclear Medicine 65 (supplement 2), 241325-241325, 2024 | | 2024 |
| P1244: AN AUTOMATED QUANTIFICATION ALGORITHM FOR EVALUATING TOTAL METABOLIC TUMOR VOLUME IN PATIENTS WITH FDG-AVID LYMPHOMAS USING A DEEP LEARNING MODEL T Xu, S Jemaa, M Kumar, S Balasubramanian, A Shamas-Din, S Lyalina, ... HemaSphere 7 (Suppl), e53649d2, 2023 | | 2023 |
| An automated quantification algorithm for evaluating total metabolic tumor volume in patients with FDG‐avid lymphomas using a deep learning model T Xu, S Jemaa, M Kumar, S Balasubramanian, A Shamas‐Din, S Lyalina, ... Hematological Oncology 41, 342-344, 2023 | | 2023 |
| Prognostic pan-cancer and single-cancer models: A large-scale analysis using a real-world clinico-genomic database SF McGough, S Lyalina, D Incerti, Y Huang, S Tyanova, K Mace, ... medRxiv, 2023.12. 18.23300166, 2023 | | 2023 |
| Abstract A17: Pan-solid tumor comparison of variant detection in paired liquid and tissue biopsies ZJF Assaf, S Sivakumar, DX Jin, SL Maund, S Lyalina, G Walia, ES Sokol, ... Clinical Cancer Research 26 (11_Supplement), A17-A17, 2020 | | 2020 |
