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Svetlana Lyalina
Svetlana Lyalina
Bioinformatics PhD, UCSF
Verified email at gladstone.ucsf.edu
Title
Cited by
Cited by
Year
Caloric restriction disrupts the microbiota and colonization resistance
RJ von Schwartzenberg, JE Bisanz, S Lyalina, P Spanogiannopoulos, ...
Nature 595 (7866), 272-277, 2021
1822021
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
1582019
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
1462018
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
1122017
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
792015
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
762020
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
742013
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
572021
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
462017
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
372021
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
292019
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, ...
102017
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
42022
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
12023
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
12012
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
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Articles 1–20