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BMC Bioinformatics|November 2, 2024
Improving crop production using an agro-deep learning framework in precision agricultureJ Logeshwaran, Durgesh Srivastava, K Sree Kumar, et al.
BMC Bioinformatics|November 4, 2024
GPCR-BSD: a database of binding sites of human G-protein coupled receptors under diverse statesFan Liu, Han Zhou, Xiaonong Li, et al.
BMC Bioinformatics|November 6, 2025
TransST: transfer learning embedded spatial factor modeling of spatial transcriptomics dataShuo Shuo Liu, Shikun Wang, Yuxuan Chen, et al.
BMC Bioinformatics|November 1, 2025
Delineating markers of disease-disease interaction: a systematic methodology and its application to multiple diabetes-helminth cohortsNilesh Subramanian, Philge Philip, Anuradha Rajamanickam, et al.
BMC Bioinformatics|November 1, 2025
A shrinkage-based statistical method for testing group mean differences in quantitative bottom-up proteomicsNamgil Lee, Hojin Yoo, Juhyoung Kim, et al.
BMC Bioinformatics|November 1, 2025
ESAE-SDA: ensemble sparse autoencoder framework for epigenomics-informed snoRNA-disease associations predictionXinqing Jiang, Xiaojun Chen, Lifeng Xu, et al.
BMC Bioinformatics|October 17, 2025
GRiNS: a python library for simulating gene regulatory network dynamicsPradyumna Harlapur, Harshavardhan Bv, Mohit Kumar Jolly
BMC Bioinformatics|October 15, 2025
DCMF-PPI: a protein-protein interaction predictor based on dynamic condition and multi-feature fusionSiqi Chen, Anhong Zheng, Weichi Yu, et al.
BMC Bioinformatics|October 2, 2025
Statistically principled feature selection for single cell transcriptomicsEmmanuel P Dollinger, Kai Silkwood, Scott Atwood, et al.
BMC Bioinformatics|October 1, 2025
HEPAD: enhancing hemolytic peptide prediction with adaptive feature engineering and diverse sequence descriptorsSih-Han Chen, Jen-Chieh Yu, Yi-Hsiang Lin, et al.
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