Li Li

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Joel DudleyInstitute Director and Associate Professor, Icahn School of Medicine at Mount SinaiPotvrđena adresa e-pošte na mssm.edu
Minnie SarwalProfessor, UCSF, Stanford UniversityPotvrđena adresa e-pošte na ucsf.edu
Rong ChenDirector of Clinical Genome Informatics & Assistant Professor, Mount Sinai School of MedicinePotvrđena adresa e-pošte na mssm.edu
Benjamin GlicksbergVP Data Science & Machine Learning, Character Biosciences | Adjunct Professor, Icahn School ofPotvrđena adresa e-pošte na mssm.edu
Tara SigdelAssoc. Professor, UCSF Medical SchoolPotvrđena adresa e-pošte na ucsf.edu
Brian A. KiddScientific Senior Director, Predictive Sciences at Bristol-Myers SquibbPotvrđena adresa e-pošte na bms.com
Eric SchadtProfessor of Genetics and Genomic Sciences, Mount Sinai School of MedicinePotvrđena adresa e-pošte na mssm.edu
Maarten NaesensProfessor, Department of Microbiology, Immunology & Transplantation, KU LeuvenPotvrđena adresa e-pošte na uzleuven.be
Riccardo Miotto, PhDSenior Director, Machine Learning @ Tempus AIPotvrđena adresa e-pošte na tempus.com
Atul J. ButteDirector, Bakar Computational Health Sciences Institute, University of California, San FranciscoPotvrđena adresa e-pošte na ucsf.edu
Nicholas P TatonettiProfessor and Vice Chair of Computational Biomedicine, Cedars-Sinai Medical CenterPotvrđena adresa e-pošte na cshs.org
Shameer Khader, PhD, MPHExecutive Director (Data Science, Machine Learning, Digital Health and Bioinformatics), SanofiPotvrđena adresa e-pošte na sanofi.com
Zhiping WengProf & Chair, Department of Genomics and Computational Biology, UMASS Medical SchoolPotvrđena adresa e-pošte na umassmed.edu
William OhChief Medical Officer, Prostate Cancer Foundation; Clinical Professor of Medicine, Mount SinaiPotvrđena adresa e-pošte na pcf.org
Patricia KovatchIcahn School of Medicine at Mount SinaiPotvrđena adresa e-pošte na mssm.edu
George HripcsakColumbia UniversityPotvrđena adresa e-pošte na columbia.edu
Ronald TamlerIcahn School of Medicine at Mount SinaiPotvrđena adresa e-pošte na mssm.edu
Alexander A MorganKhosla VenturesPotvrđena adresa e-pošte na stanford.edu
Chirag J PatelAssociate Professor of Biomedical Informatics, Harvard UniversityPotvrđena adresa e-pošte na hms.harvard.edu
Scott SutherlandPediatric Nephrology, Stanford University School of MedicinePotvrđena adresa e-pošte na stanford.edu

Prati

Li Li

SVP Clinical Informatics, Sema4; Assistant Professor, Mount Sinai School of Medicine

Potvrđena adresa e-pošte na sema4.com - Početna stranica

Rare Genetic Diseases Machine Learning Clinical application EMR RWE Precision Medicine


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records. R Miotto, L Li, BA Kidd, JT Dudley Sci Rep. 6, 2016	1906	2016
ZDOCK: An initial‐stage protein‐docking algorithm R Chen, L Li, Z Weng Proteins: Structure, Function, and Bioinformatics 52 (1), 80-87, 2003	1688	2003
The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models. L Shi, G Campbell, WD Jones, F Campagne, Z Wen, SJ Walker, Z Su, ... Nature biotechnology 28 (8), 827, 2010	890	2010
A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium. SMIII Consortium Nat Biotechnol 32 (9), 903-914, 2014	882	2014
AKI in hospitalized patients with COVID-19 L Chan, K Chaudhary, A Saha, K Chauhan, A Vaid, S Zhao, I Paranjpe, ... Journal of the American Society of Nephrology 32 (1), 151-160, 2021	809	2021
Identification of type 2 diabetes subgroups through topological analysis of patient similarity. L Li, C Wei-Yi, B Glicksberg, G Omri, R Tamler, R Chen, E Bottinger, ... Sci Transl Med 7 (311), 2015	648	2015
Identification of a peripheral blood transcriptional biomarker panel associated with operational renal allograft tolerance S Brouard, E Mansfield, C Braud, L Li, M Giral, S Hsieh, D Baeten, ... Proceedings of the National Academy of Sciences 104 (39), 15448-15453, 2007	413	2007
RDOCK: Refinement of rigid‐body protein docking predictions L Li, R Chen, Z Weng Proteins: Structure, Function, and Bioinformatics 53 (3), 693-707, 2003	392	2003
Predictive modeling of hospital readmission rates using electronic medical record-wide machine learning: a case-study using Mount Sinai heart failure cohort K Shameer, KW Johnson, A Yahi, R Miotto, LI Li, D Ricks, J Jebakaran, ... PACIFIC SYMPOSIUM ON BIOCOMPUTING 2017, 276-287, 2017	219	2017
Expression of complement components differs between kidney allografts from living and deceased donors M Naesens, L Li, L Ying, P Sansanwal, TK Sigdel, SC Hsieh, N Kambham, ... Journal of the American Society of Nephrology 20 (8), 1839-1851, 2009	176	2009
A randomized, prospective trial of rituximab for acute rejection in pediatric renal transplantation V Zarkhin, L Li, N Kambham, T Sigdel, O Salvatierra, MM Sarwal American Journal of Transplantation 8 (12), 2607-2617, 2008	165	2008
Complete Steroid Avoidance Is Effective and Safe in Children With Renal Transplants: A Multicenter Randomized Trial With Three‐Year Follow‐Up MM Sarwal, RB Ettenger, V Dharnidharka, M Benfield, R Mathias, ... American Journal of Transplantation 12 (10), 2719-2729, 2012	157	2012
Characterization of intra-graft B cells during renal allograft rejection V Zarkhin, N Kambham, L Li, S Kwok, SC Hsieh, O Salvatierra, ... Kidney international 74 (5), 664-673, 2008	157	2008
A Peripheral Blood Diagnostic Test for Acute Rejection in Renal Transplantation L Li, P Khatri, TK Sigdel, T Tran, L Ying, MJ Vitalone, A Chen, S Hsieh, ... American Journal of Transplantation 12 (10), 2710-2718, 2012	133	2012
AILUN: Re-annotating Gene Expression Data Automatically R Chen, L Li, AJ Butte Nature methods 4 (11), 879, 2007	127	2007
Acute kidney injury in hospitalized patients with COVID-19 L Chan, K Chaudhary, A Saha, K Chauhan, A Vaid, M Baweja, ... MedRxiv, 2020.05. 04.20090944, 2020	123	2020
Identifying compartment-specific non-HLA targets after renal transplantation by integrating transcriptome and “antibodyome” measures L Li, P Wadia, R Chen, N Kambham, M Naesens, TK Sigdel, DB Miklos, ... Proceedings of the National Academy of Sciences 106 (11), 4148-4153, 2009	123	2009
Progressive histological damage in renal allografts is associated with expression of innate and adaptive immunity genes M Naesens, P Khatri, L Li, TK Sigdel, MJ Vitalone, R Chen, AJ Butte, ... Kidney international 80 (12), 1364-1376, 2011	111	2011
Disease heritability inferred from familial relationships reported in medical records FCG Polubriaginof, R Vanguri, K Quinnies, GM Belbin, A Yahi, ... Cell 173 (7), 1692-1704. e11, 2018	106	2018
ZDOCK predictions for the CAPRI challenge R Chen, W Tong, J Mintseris, L Li, Z Weng Proteins: Structure, Function, and Bioinformatics 52 (1), 68-73, 2003	102	2003

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