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Xoel Mato Blanco

As seen in: Nature, BioRxiv
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Articles

NeMO Analytics: a compendium of transcriptomic data for the exploration of neocortical development

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By Shreyash Sonthalia, Brian R. Herb, Ricky S. Adkins, Joshua Orvis, Guangyan Li, Xiangyu Liao, Qingjie Yu, Xoel Mato Blanco, Alex Casella, Jinrui Liu, Genevieve Stein-O’Brien, Brian Caffo, Ronna Hertzano, Anup Mahurkar, Jin-Chong Xu, Jesse Gillis, Jonathan M. Werner, Shaojie Ma, Suel-Kee Kim, Nicola Micali, Nenad Sestan, Pasko Rakic, Gabriel Santpere, Seth A Ament, Carlo Colantuoni
| Nature Verified
Abstract Here, to enable researchers to more fully harness the collective discovery potential of multiomic data in the public domain, we have assembled gene-level transcriptomic data from ~200 studies of neocortical development and in vitro models.
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in silico transcriptome dissection of neocortical excitatory neurogenesis via joint matrix decomposition and transfer learning

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By Shreyash Sonthalia, Guangyan Li, Alex M. Casella, Xoel Mato Blanco
| BioRxiv
Abstract The rising quality and amount of multi-omic data across biomedical science demands that we build innovative solutions to harness their collective discovery potential. From publicly available repositories, we have assembled and curated a compendium of gene-level transcriptomic data focused on mammalian excitatory neurogenesis in the neocortex.
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