Chuang Ma
Chuang Ma
Center of Bioinformatics, College of Life Sciences, Northwest A&F University, China
Verified email at - Homepage
Cited by
Cited by
Machine learning for Big Data analytics in plants
Chuang Ma, Hao Helen Zhang, Xiangfeng Wang
Trends in Plant Science, DOI:, 2014
The reference genome of the halophytic plant Eutrema salsugineum
R Yang, DJ Jarvis, H Chen, M Beilstein, J Grimwood, J Jenkins, SQ Shu, ...
Frontiers in Plant Science 4 (46), 10.3389/fpls.2013.00046, 2013
RNA sequencing of laser-capture microdissected compartments of the maize kernel identifies regulatory modules associated with endosperm cell differentiation
J Zhan, D Thakare, C Ma, A Lloyd, NM Nixon, AM Arakaki, WJ Burnett, ...
The Plant Cell 27 (3), 513-531, 2015
A deep convolutional neural network approach for predicting phenotypes from genotypes
W Ma, Z Qiu, J Song, J Li, Q Cheng, J Zhai, C Ma
Planta 248, 1307-1318, 2018
Machine Learning–Based Differential Network Analysis: A Study of Stress-Responsive Transcriptomes in Arabidopsis
C Ma, M Xin, KA Feldmann, X Wang
The Plant Cell 26 (2), 520-537, 2014
Dynamic Expression of Imprinted Genes Associates with Maternally Controlled Nutrient Allocation during Maize Endosperm Development
M Xin, R Yang, G Li, H Chen, J Laurie, C Ma, D Wang, Y Yao, BA Larkins, ...
The Plant Cell 25 (9), 3212-3227, 2013
Evolution of the RNA N6-methyladenosine methylome mediated by genomic duplication
Z Miao, T Zhang, Y Qi, J Song, Z Han, C Ma
Plant Physiology 182 (1), 345-360, 2020
Application of the Gini correlation coefficient to infer regulatory relationships in transcriptome analysis.
C Ma, XF Wang
Plant physiology 160 (1), 10, 2012
A systems approach to a spatio-temporal understanding of the drought stress response in maize
Z Miao, Z Han, T Zhang, S Chen, C Ma
Scientific reports 7 (1), 6590, 2017
Opaque-2 regulates a complex gene network associated with cell differentiation and storage functions of maize endosperm
J Zhan, G Li, CH Ryu, C Ma, S Zhang, A Lloyd, BG Hunter, BA Larkins, ...
The Plant Cell 30 (10), 2425-2446, 2018
Transcriptome-Wide Annotation of m5C RNA Modifications Using Machine Learning
J Song, J Zhai, E Bian, Y Song, J Yu, C Ma
Frontiers in plant science 9, 519, 2018
Hybrid sequencing reveals insight into heat sensing and signaling of bread wheat
X Wang, S Chen, X Shi, D Liu, P Zhao, Y Lu, Y Cheng, Z Liu, X Nie, ...
The Plant Journal 98 (6), 1015-1032, 2019
The genetic mechanism of heterosis utilization in maize improvement
Y Xiao, S Jiang, Q Cheng, X Wang, J Yan, R Zhang, F Qiao, C Ma, J Luo, ...
Genome Biology 22 (1), 148, 2021
Evolutionary Origin, Gradual Accumulation and Functional Divergence of Heat Shock Factor Gene Family with Plant Evolution
X Wang, X Shi, S Chen, C Ma, S Xu
Frontiers in Plant Science 9, 71, 2018
LightGBM: accelerated genomically designed crop breeding through ensemble learning
J Yan, Y Xu, Q Cheng, S Jiang, Q Wang, Y Xiao, C Ma, J Yan, X Wang
Genome Biology 22, 1-24, 2021
Position‐specific residue preference features around the ends of helices and strands and a novel strategy for the prediction of secondary structures
MJ Duan, M Huang, C Ma, L Li, YH Zhou
Protein Science 17 (9), 1505-1512, 2008
miRLocator: machine learning-based prediction of mature microRNAs within plant pre-miRNA sequences
H Cui, J Zhai, C Ma
PLoS One 10 (11), e0142753, 2015
Transcriptome dynamics during maize endosperm development
J Qu, C Ma, J Feng, S Xu, L Wang, F Li, Y Li, R Zhang, X Zhang, J Xue, ...
PLoS One 11 (10), e0163814, 2016
PEA: an integrated R toolkit for plant epitranscriptome analysis
J Zhai, J Song, Q Cheng, Y Tang, C Ma
Bioinformatics 34 (21), 3747-3749, 2018
Dynamic parent-of-origin effects on small interfering RNA expression in the developing maize endosperm
M Xin, R Yang, Y Yao, C Ma, H Peng, Q Sun, X Wang, Z Ni
BMC plant biology 14 (1), 1-13, 2014
The system can't perform the operation now. Try again later.
Articles 1–20