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BMC Bioinformatics|December 18, 2013
Network-based differential gene expression analysis suggests cell cycle related genes regulated by E2F1 underlie the molecular difference between smoker and non-smoker lung adenocarcinomaChao Wu, Jun Zhu, Xuegong ZhangBMC Bioinformatics|December 20, 2013
Sequencing error correction without a reference genomeJulie A Sleep, Andreas W Schreiber, Ute BaumannBMC Bioinformatics|November 19, 2013
Identification of single nucleotide polymorphisms from the transcriptome of an organism with a whole genome duplicationKris A Christensen, Joseph P Brunelli, Matthew J Lambert, et al.BMC Bioinformatics|November 7, 2013
Comparison and improvement of algorithms for computing minimal cut setsChristian Jungreuthmayer, Govind Nair, Steffen Klamt, et al.BMC Bioinformatics|January 5, 2022
Hierarchical shared transfer learning for biomedical named entity recognitionZhaoying Chai, Han Jin, Shenghui Shi, et al.BMC Bioinformatics|January 5, 2022
An effective drug-disease associations prediction model based on graphic representation learning over multi-biomolecular networkHanjing Jiang, Yabing HuangBMC Bioinformatics|January 5, 2022
Prediction of lncRNA-disease association based on a Laplace normalized random walk with restart algorithm on heterogeneous networksLiugen Wang, Min Shang, Qi Dai, et al.BMC Bioinformatics|January 5, 2022
Secondary structure specific simpler prediction models for protein backbone anglesM A Hakim Newton, Fereshteh Mataeimoghadam, Rianon Zaman, et al.BMC Bioinformatics|January 5, 2022
Machine learning-based predictions of dietary restriction associations across ageing-related genesGustavo Daniel Vega Magdaleno, Vladislav Bespalov, Yalin Zheng, et al.BMC Bioinformatics|January 7, 2022
DEGnext: classification of differentially expressed genes from RNA-seq data using a convolutional neural network with transfer learningTulika Kakati, Dhruba K Bhattacharyya, Jugal K Kalita, et al.Pageof 1,248