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Interactional and functional centrality in transcriptional co-expression networks., , , and . Bioinformatics, 26 (24): 3083-3089 (2010)QMSpy: An Integrated Modular and Scalable Platform for Quantitative Metagenomics in Pyspark., , , , , , and . RIVF, page 1-6. IEEE, (2019)Disease Classification in Metagenomics with 2D Embeddings and Deep Learning., , , , and . CoRR, (2018)FunNet: an integrative tool for exploring transcriptional interactions., , , and . Bioinformatics, 24 (22): 2636-2638 (2008)Deep Learning for Metagenomic Data: using 2D Embeddings and Convolutional Neural Networks., , , , and . CoRR, (2017)Efficient global network learning from local reconstructions., , , and . IJCNN, page 1117-1124. IEEE, (2017)Spectral consensus strategy for accurate reconstruction of large biological networks., , , and . BMC Bioinformatics, 17 (S-16): 85-97 (2016)Alterations of the human gut microbiome in liver cirrhosis., , , , , , , , , and 17 other author(s). Nature, 513 (7516): 59-64 (2014)Disease Prediction Using Synthetic Image Representations of Metagenomic Data and Convolutional Neural Networks., , , and . RIVF, page 1-6. IEEE, (2019)Disentangling type 2 diabetes and metformin treatment signatures in the human gut microbiota., , , , , , , , , and 19 other author(s). Nature, 528 (7582): 262-266 (2015)