Opening the black box: interpretable machine learning for geneticists CB Azodi, J Tang, SH Shiu Trends in genetics 36 (6), 442-455, 2020 | 259 | 2020 |
Benchmarking parametric and machine learning models for genomic prediction of complex traits CB Azodi, E Bolger, A McCarren, M Roantree, G de Los Campos, SH Shiu G3: Genes, Genomes, Genetics 9 (11), 3691-3702, 2019 | 119 | 2019 |
Transcriptome-based prediction of complex traits in maize CB Azodi, J Pardo, R VanBuren, G de Los Campos, SH Shiu The Plant Cell 32 (1), 139-151, 2020 | 82 | 2020 |
Comprehensive spatial analysis of the Borrelia burgdorferi lipoproteome reveals a compartmentalization bias toward the bacterial surface AS Dowdell, MD Murphy, C Azodi, SK Swanson, L Florens, S Chen, ... Journal of bacteriology 199 (6), 10.1128/jb. 00658-16, 2017 | 74 | 2017 |
Evolutionarily conserved hierarchical gene regulatory networks for plant salt stress response TY Wu, HZ Goh, CB Azodi, S Krishnamoorthi, MJ Liu, D Urano Nature Plants 7 (6), 787-799, 2021 | 49 | 2021 |
Optimizing expression quantitative trait locus mapping workflows for single-cell studies ASE Cuomo, G Alvari, CB Azodi, Single-Cell eQTLGen Consortium, ... Genome biology 22 (1), 188, 2021 | 42* | 2021 |
Putative cis-regulatory elements predict iron deficiency responses in Arabidopsis roots B Schwarz, CB Azodi, SH Shiu, P Bauer Plant physiology 182 (3), 1420-1439, 2020 | 35 | 2020 |
Cis-regulatory code for predicting plant cell-type transcriptional response to high salinity S Uygun, CB Azodi, SH Shiu Plant physiology 181 (4), 1739-1751, 2019 | 29 | 2019 |
Modeling temporal and hormonal regulation of plant transcriptional response to wounding BM Moore, YS Lee, P Wang, C Azodi, E Grotewold, SH Shiu The Plant Cell 34 (2), 867-888, 2022 | 26 | 2022 |
Predictive models of spatial transcriptional response to high salinity S Uygun, AE Seddon, CB Azodi, SH Shiu Plant physiology 174 (1), 450-464, 2017 | 25 | 2017 |
The cis-regulatory codes of response to combined heat and drought stress in Arabidopsis thaliana CB Azodi, JP Lloyd, SH Shiu NAR Genomics and Bioinformatics 2 (3), 2020 | 21 | 2020 |
Expression and regulatory asymmetry of retained Arabidopsis thaliana transcription factor genes derived from whole genome duplication NL Panchy, CB Azodi, EF Winship, RC O’Malley, SH Shiu BMC Evolutionary Biology 19, 1-17, 2019 | 10 | 2019 |
Genetic models reveal historical patterns of sea lamprey population fluctuations within Lake Champlain CC D’Aloia, CB Azodi, SP Sheldon, SC Trombulak, WR Ardren PeerJ 3, e1369, 2015 | 8 | 2015 |
splatPop: simulating population scale single-cell RNA sequencing data CB Azodi, L Zappia, A Oshlack, DJ McCarthy Genome biology 22 (1), 341, 2021 | 7 | 2021 |
Benchmarking parametric and machine learning models for genomic prediction of complex traits. G3 (Bethesda) 9: 3691–3702 CB Azodi, E Bolger, A McCarren, M Roantree, G de los Campos | 7 | 2019 |
Perceptions of emerging biotechnologies CB Azodi, T Dietz Environmental Research Letters 14 (11), 114018, 2019 | 4 | 2019 |
Evolutionary characteristics of intergenic transcribed regions indicate rare novel genes and widespread noisy transcription in the Poaceae JP Lloyd, MJ Bowman, CB Azodi, RP Sowers, GD Moghe, KL Childs, ... Scientific Reports 9 (1), 12122, 2019 | 4* | 2019 |
Cell-type-specific and disease-associated expression quantitative trait loci in the human lung HM Natri, CB Del Azodi, L Peter, CJ Taylor, S Chugh, R Kendle, M Chung, ... Nature Genetics 56 (4), 595-604, 2024 | 2 | 2024 |
Interpretable Machine Learning in Plant Genomes: Studies in Modeling and Understanding Complex Biological Systems CB Azodi Michigan State University, 2019 | | 2019 |