A Hybrid Machine Learning and regression Method for Cell Type Deconvolution of Spatial Barcoding-based Transcriptomic data
Los Angeles, CA, United States 2022
American Society of Human Genetics Annual Meeting 2022
Statistical Challenges in Analyses of Single Cell RNA Sequencing Data and Spatial Transcriptomic Data
It was a presentation on zoom. 2022
Seminar of Nevada Institute of Personalized Medicine at University of Nevada Las Vegas
Idiopathic Pulmonary Fibrosis at Single-Cell Resol
ASN Kidney Week 2020 2020
Idiopathic Pulmonary Fibrosis at Single-Cell Resol
Statistical challenges in single cell RNA sequencing data analysis
Tianjin, Tianjin, China 2019
Statistical challenges in single cell RNA sequencing data analysis
Cell Lineage Defined By Single Cell Transcriptomics Of The Sputum In Asthma
Dallas, TX, United States 2019
Cell Lineage Defined By Single Cell Transcriptomics Of The Sputum In Asthma
Pathway based clustering of longitudinal RNAseq of induced sputum in asthma patients reveals stable transcriptional endotypes of asthma
Washington, DC, United States 2017
ATS 2017
Longitudinal RNA Sequencing Data of Induced Sputum in Asthma Patients Reveals Stable Transcriptional Endotypes of Asthma Associated with Asthma Severity
Keystone, CO, United States 2017
Keystone Symposia: Asthma: From Pathway Biology to Precision Therapeutics
Longitudinal RNA sequencing data of induced sputum in asthma patients reveals stable transcriptional endotypes of asthma associated with asthma severity
Washington, DC, United States 2017
Longitudinal RNA sequencing data of induced sputum in asthma patients reveals stable transcriptional endotypes of asthma associated with asthma severity
Noninvasive Analysis of the Sputum Transcriptome Discriminates Clinical Phenotypes of Asthma
Allergy, Immunology & Inflammation Webinar Journal Club 2016
Noninvasive Analysis of the Sputum Transcriptome Discriminates Clinical Phenotypes of Asthma
Longitudinal RNA sequencing data of induced sputum in asthma patients reveals stable transcriptional endotypes of asthma associated with asthma severity
Keystone, CO, United States 2016
Longitudinal RNA sequencing data of induced sputum in asthma patients reveals stable transcriptional endotypes of asthma associated with asthma severity
Gene Expression Analysis Pipeline for Ion Torrent RNAseq Data
Denver, CO, United States 2015
American Thoracic Society 2015 International Conference
RNAseq in Sarcoidosis and Alpha-1 Antitrypsin Deficiency Patients
Denver, CO, United States 2015
American Thoracic Society 2015 International Conference
Non-invasive Analysis of the Airway Transcriptome Discriminates Clinical Phenotypes of Asthma
Denver, CO, United States 2015
American Thoracic Society 2015 International Conference
Non-invasive Analysis of the Sputum Transcriptome Discriminates Clinical Phenotypes of Asthma
Washington, DC, United States 2015
Translational Science Meeting 2015
Identifying Asthma Heterogeneity from Gene Expression Data by Integrating Pathway Information
Research Triangle Park, United States 2015
2014-15: Bioinformatics: Statistical and Computational Challenges in Omics Data Integration Workshop
Identifying Asthma Heterogeneity from Gene Expression Data by Integrating Pathway Information
University, NC, United States 2015
Identifying Asthma Heterogeneity from Gene Expression Data by Integrating Pathway Information
Non-invasive Analysis of the Airway Transcriptome Discriminates Clinical Phenotypes of Asthma
Aspen, CO, United States 2015
Non-invasive Analysis of the Airway Transcriptome Discriminates Clinical Phenotypes of Asthma
Non-invasive Analysis of the Airway Transcriptome Discriminates Clinical Phenotypes of Asthma
Denver, CO, United States 2015
Non-invasive Analysis of the Airway Transcriptome Discriminates Clinical Phenotypes of Asthma