Cheng Q - Search Results

1

Genome optimization for improvement of maize breeding.

Jiang S, Cheng Q, Yan J, Fu R, Wang X. Jiang S, et al. Among authors: cheng q. Theor Appl Genet. 2020 May;133(5):1491-1502. doi: 10.1007/s00122-019-03493-z. Epub 2019 Dec 6. Theor Appl Genet. 2020. PMID: 31811314 Review.

2

The genetic mechanism of heterosis utilization in maize improvement.

Xiao Y, Jiang S, Cheng Q, Wang X, Yan J, Zhang R, Qiao F, Ma C, Luo J, Li W, Liu H, Yang W, Song W, Meng Y, Warburton ML, Zhao J, Wang X, Yan J. Xiao Y, et al. Among authors: cheng q. Genome Biol. 2021 May 10;22(1):148. doi: 10.1186/s13059-021-02370-7. Genome Biol. 2021. PMID: 33971930 Free PMC article.

3

LightGBM: accelerated genomically designed crop breeding through ensemble learning.

Yan J, Xu Y, Cheng Q, Jiang S, Wang Q, Xiao Y, Ma C, Yan J, Wang X. Yan J, et al. Among authors: cheng q. Genome Biol. 2021 Sep 20;22(1):271. doi: 10.1186/s13059-021-02492-y. Genome Biol. 2021. PMID: 34544450 Free PMC article.

4

Genome optimization via virtual simulation to accelerate maize hybrid breeding.

Cheng Q, Jiang S, Xu F, Wang Q, Xiao Y, Zhang R, Zhao J, Yan J, Ma C, Wang X. Cheng Q, et al. Brief Bioinform. 2022 Jan 17;23(1):bbab447. doi: 10.1093/bib/bbab447. Brief Bioinform. 2022. PMID: 34676389

5

IP4GS: Bringing genomic selection analysis to breeders.

Li T, Jiang S, Fu R, Wang X, Cheng Q, Jiang S. Li T, et al. Among authors: cheng q. Front Plant Sci. 2023 Mar 6;14:1131493. doi: 10.3389/fpls.2023.1131493. eCollection 2023. Front Plant Sci. 2023. PMID: 36950355 Free PMC article.

6

G2P Provides an Integrative Environment for Multi-model genomic selection analysis to improve genotype-to-phenotype prediction.

Wang Q, Jiang S, Li T, Qiu Z, Yan J, Fu R, Ma C, Wang X, Jiang S, Cheng Q. Wang Q, et al. Among authors: cheng q. Front Plant Sci. 2023 Aug 4;14:1207139. doi: 10.3389/fpls.2023.1207139. eCollection 2023. Front Plant Sci. 2023. PMID: 37600179 Free PMC article.

7

iFLAS: positive-unlabeled learning facilitates full-length transcriptome-based identification and functional exploration of alternatively spliced isoforms in maize.

Xu F, Liu S, Zhao A, Shang M, Wang Q, Jiang S, Cheng Q, Chen X, Zhai X, Zhang J, Wang X, Yan J. Xu F, et al. Among authors: cheng q. New Phytol. 2024 Mar;241(6):2606-2620. doi: 10.1111/nph.19554. Epub 2024 Jan 30. New Phytol. 2024. PMID: 38291701

8

A deep convolutional neural network approach for predicting phenotypes from genotypes.

Ma W, Qiu Z, Song J, Li J, Cheng Q, Zhai J, Ma C. Ma W, et al. Among authors: cheng q. Planta. 2018 Nov;248(5):1307-1318. doi: 10.1007/s00425-018-2976-9. Epub 2018 Aug 12. Planta. 2018. PMID: 30101399

9

PEA: an integrated R toolkit for plant epitranscriptome analysis.

Zhai J, Song J, Cheng Q, Tang Y, Ma C. Zhai J, et al. Among authors: cheng q. Bioinformatics. 2018 Nov 1;34(21):3747-3749. doi: 10.1093/bioinformatics/bty421. Bioinformatics. 2018. PMID: 29850798

10

The abscisic acid-responsive element binding factors MAPKKK18 module regulates abscisic acid-induced leaf senescence in Arabidopsis.

Zhao G, Cheng Q, Zhao Y, Wu F, Mu B, Gao J, Yang L, Yan J, Zhang H, Cui X, Chen Q, Lu F, Ao Q, Amdouni A, Jiang YQ, Yang B. Zhao G, et al. Among authors: cheng q. J Biol Chem. 2023 Apr;299(4):103060. doi: 10.1016/j.jbc.2023.103060. Epub 2023 Feb 24. J Biol Chem. 2023. PMID: 36841482 Free PMC article.

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