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BMC Bioinformatics|September 23, 2021
Predicting chemotherapy response using a variational autoencoder approachQi Wei, Stephen A RamseyBMC Bioinformatics|May 11, 2019
VPAC: Variational projection for accurate clustering of single-cell transcriptomic dataShengquan Chen, Kui Hua, Hongfei Cui, et al.BMC Bioinformatics|May 11, 2019
Screening drug target combinations in disease-related molecular networksMin Luo, Jianfeng Jiao, Ruiqi WangBMC Bioinformatics|May 11, 2019
Multiscale modeling reveals angiogenesis-induced drug resistance in brain tumors and predicts a synergistic drug combination targeting EGFR and VEGFR pathwaysWeishan Liang, Yongjiang Zheng, Ji Zhang, et al.BMC Bioinformatics|April 27, 2019
Balancing multiple objectives in conformation sampling to control decoy diversity in template-free protein structure predictionAhmed Bin Zaman, Amarda ShehuBMC Bioinformatics|October 12, 2019
Benchmark datasets of immune receptor-epitope structural complexesSwapnil Mahajan, Zhen Yan, Martin Closter Jespersen, et al.BMC Bioinformatics|October 12, 2019
An application of machine learning with feature selection to improve diagnosis and classification of neurodegenerative disordersJosefa Díaz Álvarez, Jordi A Matias-Guiu, María Nieves Cabrera-Martín, et al.BMC Bioinformatics|April 17, 2019
FGMP: assessing fungal genome completenessOusmane H Cissé, Jason E StajichBMC Bioinformatics|April 17, 2019
Highly efficient hypothesis testing methods for regression-type tests with correlated observations and heterogeneous variance structureYun Zhang, Gautam Bandyopadhyay, David J Topham, et al.BMC Bioinformatics|May 4, 2019
scruff: an R/Bioconductor package for preprocessing single-cell RNA-sequencing dataZhe Wang, Junming Hu, W Evan Johnson, et al.Pageof 1,249