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BMC Bioinformatics

Published By BMC

  • LATEST MANUSCRIPTS IN BMC Bioinformatics
  • Meng Zhang, Madhuri Sankaranarayanapillai, Jingcheng Du, Yang Xiang, Frank J Manion, Marcelline R Harris, Cooper Stansbury, Huy Anh Pham, Cui Tao. Machine learning-based donor permission extraction from informed consent documents. BMC bioinformatics. 2023, 24 (Suppl 3): 477
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  • Baptiste Turpin, Eline Y Bijman, Hans-Michael Kaltenbach, Jörg Stelling. Efficient design of synthetic gene circuits under cell-to-cell variability. BMC bioinformatics. 2023, 24 (Suppl 1): 460
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  • Elena Pianfetti, Marta Lovino, Elisa Ficarra, Loredana Martignetti. MiREx: mRNA levels prediction from gene sequence and miRNA target knowledge. BMC bioinformatics. 2023, 24 (1): 443
    Cited : 1
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  • Mingwei Pang, Wangqiu He, Xufeng Lu, Yuting She, Liangxu Xie, Ren Kong, Shan Chang. CoDock-Ligand: combined template-based docking and CNN-based scoring in ligand binding prediction. BMC bioinformatics. 2023, 24 (1): 444
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  • Valentina Nale, Alice Chiodi, Noemi Di Nanni, Ingrid Cifola, Marco Moscatelli, Cinzia Cocola, Matteo Gnocchi, Eleonora Piscitelli, Ada Sula, Ileana Zucchi, Rolland Reinbold, Luciano Milanesi, Alessandra Mezzelani, Paride Pelucchi, Ettore Mosca. scMuffin: an R package to disentangle solid tumor heterogeneity by single-cell gene expression analysis. BMC bioinformatics. 2023, 24 (1): 445
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  • Anup Kumar, Björn Grüning, Rolf Backofen. Transformer-based tool recommendation system in Galaxy. BMC bioinformatics. 2023, 24 (1): 446
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  • Incheol Shin, Keumseok Kang, Juseong Kim, Sanghun Sel, Jeonghoon Choi, Jae-Wook Lee, Ho Young Kang, Giltae Song. AptaTrans: a deep neural network for predicting aptamer-protein interaction using pretrained encoders. BMC bioinformatics. 2023, 24 (1): 447
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  • Danyi Chen, Xiaowen Wang, Hongming Zhu, Yizhi Jiang, Yulong Li, Qi Liu, Qin Liu. Predicting anticancer synergistic drug combinations based on multi-task learning. BMC bioinformatics. 2023, 24 (1): 448
    Cited : 1
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  • Mahdi Pourmirzaei, Shahin Ramazi, Farzaneh Esmaili, Seyedehsamaneh Shojaeilangari, Abdollah Allahvardi. Machine learning-based approaches for ubiquitination site prediction in human proteins. BMC bioinformatics. 2023, 24 (1): 449
    Cited : 2
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  • Nan Shao, Chenshuo Ren, Tianyuan Hu, Dianbing Wang, Xiaofan Zhu, Min Li, Tao Cheng, Yingchi Zhang, Xian-En Zhang. Detection of continuous hierarchical heterogeneity by single-cell surface antigen analysis in the prognosis evaluation of acute myeloid leukaemia. BMC bioinformatics. 2023, 24 (1): 450
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  • Dong-Xu Li, Peng Zhou, Bo-Wei Zhao, Xiao-Rui Su, Guo-Dong Li, Jun Zhang, Peng-Wei Hu, Lun Hu. Biocaiv: an integrative webserver for motif-based clustering analysis and interactive visualization of biological networks. BMC bioinformatics. 2023, 24 (1): 451
    Cited : 1
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  • He Zhao, Guixia Liu, Xintian Cao. A seed expansion-based method to identify essential proteins by integrating protein-protein interaction sub-networks and multiple biological characteristics. BMC bioinformatics. 2023, 24 (1): 452
    Cited : 1
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  • Joel Nulsen, Nosheen Hussain, Aws Al-Deka, Jason Yap, Khalil Uddin, Christopher Yau, Ahmed Ashour Ahmed. Completing a genomic characterisation of microscopic tumour samples with copy number. BMC bioinformatics. 2023, 24 (1): 453
    Cited : 2
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  • Hui Sun, Yingfeng Zheng, Haonan Xie, Huidong Ma, Xiaoguang Liu, Gang Wang. PMFFRC: a large-scale genomic short reads compression optimizer via memory modeling and redundant clustering. BMC bioinformatics. 2023, 24 (1): 454
    Cited : 1
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  • Zhaoyan Ming, Xiangjun Chen, Shunlong Wang, Hong Liu, Zhiming Yuan, Minghui Wu, Han Xia. HostNet: improved sequence representation in deep neural networks for virus-host prediction. BMC bioinformatics. 2023, 24 (1): 455
    Cited : 0
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