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Clustering biological data with SOMs: On topology preservation in non-linear dimensional reduction.

, , , , and . Expert Syst. Appl., 40 (9): 3841-3845 (2013)

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*omeSOM: a software for clustering and visualization of transcriptional and metabolite data mined from interspecific crosses of crop plants., , , , , , and . BMC Bioinform., (2010)Clustering biological data with SOMs: On topology preservation in non-linear dimensional reduction., , , , and . Expert Syst. Appl., 40 (9): 3841-3845 (2013)A Biologically Inspired Validity Measure for Comparison of Clustering Methods over Metabolic Data Sets., , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 9 (3): 706-716 (2012)Métodos de agrupamiento no supervisado para la integración de datos genómicos y metabólicos de múltiples líneas de introgresión., , , , , and . Inteligencia Artif., 13 (44): 56-66 (2009)High Class-Imbalance in pre-miRNA Prediction: A Novel Approach Based on deepSOM., , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 14 (6): 1316-1326 (2017)Neural network model for integration and visualization of introgressed genome and metabolite data., , , , and . IJCNN, page 2983-2989. IEEE Computer Society, (2009)Novel SARS-CoV-2 encoded small RNAs in the passage to humans., , , , , , , , and . Bioinform., 36 (24): 5571-5581 (2021)miRNAfe: A comprehensive tool for feature extraction in microRNA prediction., , , and . Biosyst., (2015)Improving clustering with metabolic pathway data., , , , and . BMC Bioinform., (2014)