Items where Author is "Harrison, Andrew"

Article

Wang, Xiaoliang and Harrison, Andrew (2022) Non-kin selection enhances complexity in cooperation: A unified quantitative law. Computational Biology and Chemistry, 101. p. 107782. DOI https://doi.org/10.1016/j.compbiolchem.2022.107782

Woldegiorgis, Samuel Tareke and Wu, Ti and Gao, Linghui and Huang, Yunxia and Zheng, Yingjie and Qiu, Fuxiang and Xu, Shichang and Tao, Huan and Harrison, Andrew and Liu, Wei and He, Huaqin (2022) Identification of Heat-Tolerant Genes in Non-Reference Sequences in Rice by Integrating Pan-Genome, Transcriptomics, and QTLs. Genes, 13 (8). p. 1353. DOI https://doi.org/10.3390/genes13081353

Wang, Xiaoliang and Harrison, Andrew and Chang, Yunlong and Liu, Jian (2022) Pinching arc plasmas by high-frequency alternating longitudinal magnetic field. Physics of Plasmas, 29 (7). 073506-073506. DOI https://doi.org/10.1063/5.0083796

Osuntoki, Itunu G and Harrison, Andrew and Dai, Hongsheng and Bao, Yanchun and Zabet, Nicolae Radu (2022) ZipHiC: a novel Bayesian framework to identify enriched interactions and experimental biases in Hi-C data. Bioinformatics, 38 (14). btac387-btac387. DOI https://doi.org/10.1093/bioinformatics/btac387

Chathoth, Keerthi and Mikheeva, Liudmila and Crevel, Gilles and Wolfe, Jareth and Hunter, Ioni and Beckett-Doyle, Saskia and Cotterill, Sue and Dai, Hongsheng and Harrison, Andrew and Zabet, Nicolae (2022) The role of Insulators and transcription in 3D chromatin organisation of flies. Genome Research, 32 (4). pp. 682-698. DOI https://doi.org/10.1101/gr.275809.121 (In Press)

Hu, Xiaotian and Feng, Cong and Zhou, Yincong and Harrison, Andrew and Chen, Ming (2022) DeepTrio: a ternary prediction system for protein-protein interaction using mask multiple parallel convolutional neural networks. Bioinformatics, 28 (3). pp. 694-702. DOI https://doi.org/10.1093/bioinformatics/btab737

Cannataro, Mario and Harrison, Andrew (2021) Bioinformatics helping to mitigate the impact of COVID-19 - Editorial. Briefings in Bioinformatics, 22 (2). pp. 613-615. DOI https://doi.org/10.1093/bib/bbab063

Tareke Woldegiorgis, Samuel and Wang, Shaobo and He, Yiruo and Xu, Zhenhua and Chen, Lijuan and Tao, Huan and Zhang, Yu and Zou, Yang and Harrison, Andrew and Zhang, Lina and Ai, Yufang and Liu, Wei and He, Huaqin (2019) Rice Stress-Resistant SNP Database. Rice, 12 (1). 97-. DOI https://doi.org/10.1186/s12284-019-0356-0

Chen, Ming and Harrison, Andrew and Shanahan, Hugh and Orlov, Yuriy (2017) Biological Big Bytes: Integrative Analysis of Large Biological Datasets. Journal of Integrative Bioinformatics, 14 (3). DOI https://doi.org/10.1515/jib-2017-0052

Li, Kuan and Xu, Chaoqun and Huang, Jian and Liu, Wei and Zhang, Lina and Wan, Weifeng and Tao, Huan and Li, Li and Lin, Shukai and Harrison, Andrew and He, Huaqin (2017) Prediction and identification of the effectors of heterotrimeric G proteins in rice (Oryza sativaL.). Briefings in Bioinformatics, 18 (2). pp. 270-278. DOI https://doi.org/10.1093/bib/bbw021

Alhaji, Baba B and Dai, Hongsheng and Hayashi, Yoshiko and Vinciotti, Veronica and Harrison, Andrew and Lausen, Berthold (2016) Bayesian analysis for mixtures of discrete distributions with a non-parametric component. Journal of Applied Statistics, 43 (8). pp. 1369-1385. DOI https://doi.org/10.1080/02664763.2015.1100594

Bai, Youhuang and Dai, Xiaozhuan and Harrison, Andrew and Johnston, Caroline and Chen, Ming (2016) Toward a next-generation atlas of RNA secondary structure. Briefings in Bioinformatics, 17 (1). pp. 63-77. DOI https://doi.org/10.1093/bib/bbv026

Lin, Shoukai and Song, Qi and Tao, Huan and Wang, Wei and Wan, Weifeng and Huang, Jian and Xu, Chaoqun and Chebii, Vivien and Kitony, Justine and Que, Shufu and Harrison, Andrew and He, Huaqin (2015) Rice_Phospho 1.0: a new rice-specific SVM predictor for protein phosphorylation sites. Scientific Reports, 5 (1). 11940-. DOI https://doi.org/10.1038/srep11940

Mahmoud, Osama and Harrison, Andrew and Perperoglou, Aris and Gul, Asma and Khan, Zardad and Metodiev, Metodi V and Lausen, Berthold (2014) A feature selection method for classification within functional genomics experiments based on the proportional overlapping score. BMC Bioinformatics, 15 (1). 274-. DOI https://doi.org/10.1186/1471-2105-15-274

Conference or Workshop Item

Alhaji, Baba B and Dai, Hongsheng and Hayashi, Yoshiko and Vinciotti, Veronica and Harrison, Andrew and Lausen, Berthold (2016) Analysis of ChIP-seq Data Via Bayesian Finite Mixture Models with a Non-parametric Component. In: UNSPECIFIED, ? - ?.

Mahmoud, Osama and Harrison, Andrew and Gul, Asma and Khan, Zardad and Metodiev, Metodi V and Lausen, Berthold (2016) Minimizing Redundancy Among Genes Selected Based on the Overlapping Analysis. In: UNSPECIFIED, ? - ?.