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BMC Bioinformatics|February 23, 2022
SEAseq: a portable and cloud-based chromatin occupancy analysis suiteModupeore O Adetunji, Brian J Abraham
BMC Bioinformatics|June 19, 2019
Aneuvis: web-based exploration of numerical chromosomal variation in single cellsDaniel G Piqué, Grasiella A Andriani, Elaine Maggi, et al.
BMC Bioinformatics|June 19, 2019
Analysis and prediction of human acetylation using a cascade classifier based on support vector machineQiao Ning, Miao Yu, Jinchao Ji, et al.
BMC Bioinformatics|June 19, 2019
Combining learning and constraints for genome-wide protein annotationStefano Teso, Luca Masera, Michelangelo Diligenti, et al.
BMC Bioinformatics|May 30, 2019
MHCSeqNet: a deep neural network model for universal MHC binding predictionPoomarin Phloyphisut, Natapol Pornputtapong, Sira Sriswasdi, et al.
BMC Bioinformatics|May 30, 2019
Comparison of kNN and k-means optimization methods of reference set selection for improved CNV callers performanceWiktor Kuśmirek, Agnieszka Szmurło, Marek Wiewiórka, et al.
BMC Bioinformatics|May 30, 2019
CollaboNet: collaboration of deep neural networks for biomedical named entity recognitionWonjin Yoon, Chan Ho So, Jinhyuk Lee, et al.
BMC Bioinformatics|May 30, 2019
Robust identification of molecular phenotypes using semi-supervised learningHeinrich Roder, Carlos Oliveira, Lelia Net, et al.
BMC Bioinformatics|May 30, 2019
TelomereHunter - in silico estimation of telomere content and composition from cancer genomesLars Feuerbach, Lina Sieverling, Katharina I Deeg, et al.
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