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Pushkala Jayaraman
Pushkala Jayaraman
Ph.D. candidate in Biomedical Sciences, Artificial Engineering/Machine Learning, DataScience
Email verificata su icahn.mssm.edu - Home page
Titolo
Citata da
Citata da
Anno
The pathway ontology–updates and applications
V Petri, P Jayaraman, M Tutaj, GT Hayman, JR Smith, J De Pons, ...
Journal of biomedical semantics 5, 1-12, 2014
1082014
A computational genomics pipeline for prokaryotic sequencing projects
AO Kislyuk, LS Katz, S Agrawal, MS Hagen, AB Conley, P Jayaraman, ...
Bioinformatics 26 (15), 1819-1826, 2010
792010
InterMOD: integrated data and tools for the unification of model organism research
J Sullivan, K Karra, SAT Moxon, A Vallejos, H Motenko, JD Wong, ...
Scientific reports 3 (1), 1802, 2013
412013
AUDIOME: a tiered exome sequencing–based comprehensive gene panel for the diagnosis of heterogeneous nonsyndromic sensorineural hearing loss
Q Guan, J Balciuniene, K Cao, Z Fan, S Biswas, A Wilkens, DJ Gallo, ...
Genetics in Medicine 20 (12), 1600-1608, 2018
362018
Rat Genome Database: a unique resource for rat, human, and mouse quantitative trait locus data
R Nigam, SJF Laulederkind, GT Hayman, JR Smith, SJ Wang, TF Lowry, ...
Physiological genomics 45 (18), 809-816, 2013
282013
Rapid and accurate interpretation of clinical exomes using Phenoxome: a computational phenotype-driven approach
C Wu, B Devkota, P Evans, X Zhao, SW Baker, R Niazi, K Cao, ...
European Journal of Human Genetics 27 (4), 612-620, 2019
232019
Accurate long-read sequencing allows assembly of the duplicated RHD and RHCE genes harboring variants relevant to blood transfusion
Z Zhang, HH An, S Vege, T Hu, S Zhang, T Mosbruger, P Jayaraman, ...
The American Journal of Human Genetics 109 (1), 180-191, 2022
172022
Neisseria Base: a comparative genomics database for Neisseria meningitidis
LS Katz, JC Humphrey, AB Conley, V Nelakuditi, AO Kislyuk, S Agrawal, ...
Database 2011, bar035, 2011
142011
Implications of the use of artificial intelligence predictive models in health care settings: A simulation study
A Vaid, A Sawant, M Suarez-Farinas, J Lee, S Kaul, P Kovatch, ...
Annals of Internal Medicine 176 (10), 1358-1369, 2023
132023
Improved rat genome gene prediction by integration of ESTs with RNA-Seq information
L Li, E Chen, C Yang, J Zhu, P Jayaraman, J De Pons, CC Kaczorowski, ...
Bioinformatics 31 (1), 25-32, 2015
112015
Proteomic characterization of acute kidney injury in patients hospitalized with SARS-CoV2 infection
I Paranjpe, P Jayaraman, CY Su, S Zhou, S Chen, R Thompson, ...
Communications Medicine 3 (1), 81, 2023
102023
The updated RGD Pathway Portal utilizes increased curation efficiency and provides expanded pathway information
GT Hayman, P Jayaraman, V Petri, M Tutaj, W Liu, J De Pons, MR Dwinell, ...
Human Genomics 7, 1-7, 2013
92013
Molecular diagnostic outcomes from 700 cases: What can we learn from a retrospective analysis of clinical exome sequencing?
JR Murrell, AMI Nesbitt, SW Baker, KB Pechter, J Balciuniene, X Zhao, ...
The Journal of Molecular Diagnostics 24 (3), 274-286, 2022
82022
Using sequence clustering to identify clinically relevant subphenotypes in patients with COVID-19 admitted to the intensive care unit
W Oh, P Jayaraman, AS Sawant, L Chan, MA Levin, AW Charney, ...
Journal of the American Medical Informatics Association 29 (3), 489-499, 2022
52022
AnthOligo: automating the design of oligonucleotides for capture/enrichment technologies
P Jayaraman, T Mosbruger, T Hu, NG Tairis, C Wu, PM Clark, M D’Arcy, ...
Bioinformatics 36 (15), 4353-4356, 2020
42020
A primer in precision nephrology: optimizing outcomes in kidney health and disease through data-driven medicine
P Jayaraman, A Crouse, G Nadkarni, M Might
Kidney360 4 (4), e544-e554, 2023
22023
Evolution of a clinical exome sequencing bioinformatics pipeline in pediatrics: improvements, validation, challenges
C Wu, K Cao, P Jayaraman, LK Conlin, M Luo, MC Duhk, Z Yu, ...
JOURNAL OF MOLECULAR DIAGNOSTICS 18 (6), 993-993, 2016
12016
A computational genomics pipeline for microbial sequencing projects
AO Kislyuk, LS Katz, S Agrawal, MS Hagen, AB Conley, P Jayaraman, ...
12005
A novel method leveraging time series data to improve subphenotyping and application in critically ill patients with COVID-19
W Oh, P Jayaraman, P Tandon, US Chaddha, P Kovatch, AW Charney, ...
Artificial Intelligence in Medicine 148, 102750, 2024
2024
Integrated multiomics implicates dysregulation of ECM and cell adhesion pathways as drivers of severe COVID-associated kidney injury
N Anandakrishnan, Z Yi, Z Sun, T Liu, J Haydak, S Eddy, P Jayaraman, ...
medRxiv, 2024.03. 18.24304401, 2024
2024
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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