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BMC Bioinformatics|December 31, 2022
PhenoExam: gene set analyses through integration of different phenotype databasesAlejandro Cisterna, Aurora González-Vidal, Daniel Ruiz, et al.
BMC Bioinformatics|January 24, 2023
nf-core/circrna: a portable workflow for the quantification, miRNA target prediction and differential expression analysis of circular RNAsBarry Digby, Stephen P Finn, Pilib Ó Broin
BMC Bioinformatics|July 8, 2022
MetHoS: a platform for large-scale processing, storage and analysis of metabolomics dataKonstantinos Tzanakis, Tim W Nattkemper, Karsten Niehaus, et al.
BMC Bioinformatics|January 7, 2021
SCC: an accurate imputation method for scRNA-seq dropouts based on a mixture modelYan Zheng, Yuanke Zhong, Jialu Hu, et al.
BMC Bioinformatics|January 7, 2021
SPServer: split-statistical potentials for the analysis of protein structures and protein-protein interactionsJoaquim Aguirre-Plans, Alberto Meseguer, Ruben Molina-Fernandez, et al.
BMC Bioinformatics|January 7, 2021
MATHLA: a robust framework for HLA-peptide binding prediction integrating bidirectional LSTM and multiple head attention mechanismYilin Ye, Jian Wang, Yunwan Xu, et al.
BMC Bioinformatics|June 23, 2021
CASTELO: clustered atom subtypes aided lead optimization-a combined machine learning and molecular modeling methodLeili Zhang, Giacomo Domeniconi, Chih-Chieh Yang, et al.
BMC Bioinformatics|June 24, 2021
Predicting antifreeze proteins with weighted generalized dipeptide composition and multi-regression feature selection ensembleShunfang Wang, Lin Deng, Xinnan Xia, et al.
BMC Bioinformatics|June 24, 2021
Accelerated regression-based summary statistics for discrete stochastic systems via approximate simulatorsRichard M Jiang, Fredrik Wrede, Prashant Singh, et al.
BMC Bioinformatics|June 25, 2021
mLoc-mRNA: predicting multiple sub-cellular localization of mRNAs using random forest algorithm coupled with feature selection via elastic netPrabina Kumar Meher, Anil Rai, Atmakuri Ramakrishna Rao
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