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Christina B Azodi

Showing results (1-10 of 13) with videos related to

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Trends in Genetics : TIG|May 13, 2020
Opening the Black Box: Interpretable Machine Learning for GeneticistsChristina B Azodi, Jiliang Tang, Shin-Han Shiu
Plant Physiology|September 26, 2019
Cis-Regulatory Code for Predicting Plant Cell-Type Transcriptional Response to High SalinitySahra Uygun, Christina B Azodi, Shin-Han Shiu
NAR Genomics and Bioinformatics|February 12, 2021
The <i>cis</i>-regulatory codes of response to combined heat and drought stress in <i>Arabidopsis thaliana</i>Christina B Azodi, John P Lloyd, Shin-Han Shiu
Plant Physiology|January 16, 2020
Putative cis-Regulatory Elements Predict Iron Deficiency Responses in Arabidopsis RootsBirte Schwarz, Christina B Azodi, Shin-Han Shiu, et al.
Genome Biology|December 16, 2021
splatPop: simulating population scale single-cell RNA sequencing dataChristina B Azodi, Luke Zappia, Alicia Oshlack, et al.
Plant Physiology|April 5, 2017
Predictive Models of Spatial Transcriptional Response to High SalinitySahra Uygun, Alexander E Seddon, Christina B Azodi, et al.
The Plant Cell|October 24, 2019
Transcriptome-Based Prediction of Complex Traits in MaizeChristina B Azodi, Jeremy Pardo, Robert VanBuren, et al.
Nature Plants|May 28, 2021
Evolutionarily conserved hierarchical gene regulatory networks for plant salt stress responseTing-Ying Wu, HonZhen Goh, Christina B Azodi, et al.
Genome Biology|June 25, 2021
Optimizing expression quantitative trait locus mapping workflows for single-cell studiesAnna S E Cuomo, Giordano Alvari, Christina B Azodi, et al.
BMC Evolutionary Biology|March 15, 2019
Expression and regulatory asymmetry of retained Arabidopsis thaliana transcription factor genes derived from whole genome duplicationNicholas L Panchy, Christina B Azodi, Eamon F Winship, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Trends in Genetics : TIG|May 13, 2020
Opening the Black Box: Interpretable Machine Learning for GeneticistsChristina B Azodi, Jiliang Tang, Shin-Han Shiu
Plant Physiology|September 26, 2019
Cis-Regulatory Code for Predicting Plant Cell-Type Transcriptional Response to High SalinitySahra Uygun, Christina B Azodi, Shin-Han Shiu
NAR Genomics and Bioinformatics|February 12, 2021
The <i>cis</i>-regulatory codes of response to combined heat and drought stress in <i>Arabidopsis thaliana</i>Christina B Azodi, John P Lloyd, Shin-Han Shiu
Plant Physiology|January 16, 2020
Putative cis-Regulatory Elements Predict Iron Deficiency Responses in Arabidopsis RootsBirte Schwarz, Christina B Azodi, Shin-Han Shiu, et al.
Genome Biology|December 16, 2021
splatPop: simulating population scale single-cell RNA sequencing dataChristina B Azodi, Luke Zappia, Alicia Oshlack, et al.
Plant Physiology|April 5, 2017
Predictive Models of Spatial Transcriptional Response to High SalinitySahra Uygun, Alexander E Seddon, Christina B Azodi, et al.
The Plant Cell|October 24, 2019
Transcriptome-Based Prediction of Complex Traits in MaizeChristina B Azodi, Jeremy Pardo, Robert VanBuren, et al.
Nature Plants|May 28, 2021
Evolutionarily conserved hierarchical gene regulatory networks for plant salt stress responseTing-Ying Wu, HonZhen Goh, Christina B Azodi, et al.
Genome Biology|June 25, 2021
Optimizing expression quantitative trait locus mapping workflows for single-cell studiesAnna S E Cuomo, Giordano Alvari, Christina B Azodi, et al.
BMC Evolutionary Biology|March 15, 2019
Expression and regulatory asymmetry of retained Arabidopsis thaliana transcription factor genes derived from whole genome duplicationNicholas L Panchy, Christina B Azodi, Eamon F Winship, et al.
Pageof 2