Systems Biology

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Theory for transitions between exponential and stationary phases: universal laws for lag time
Yusuke Himeoka, Kunihiko Kaneko

bioRxiv 135665; doi: https://doi.org/10.1101/135665

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Untargeted metabolomic analysis in naturally occurring canine diabetes mellitus identifies similarities to human Type 1 Diabetes
Allison L. O’Kell, Timothy J. Garrett, Clive Wasserfall, Mark A. Atkinson

bioRxiv 139113; doi: https://doi.org/10.1101/139113

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Perturbed human sub-networks by Fusobacterium nucleatum candidate virulence proteins
Andreas Zanzoni, Lionel Spinelli, Shérazade Braham, Christine Brun

bioRxiv 094136; doi: https://doi.org/10.1101/094136

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Integrating planar polarity and tissue mechanics in computational models of epithelial morphogenesis
Katherine H. Fisher, David Strutt, Alexander G. Fletcher

bioRxiv 138172; doi: https://doi.org/10.1101/138172 Confirmatory Results

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Cellular adaptation through fitness-directed transcriptional tuning
Peter L. Freddolino, Jamie Yang, Saeed Tavazoie

bioRxiv 137810; doi: https://doi.org/10.1101/137810

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A model for adult organ resizing demonstrates stem cell scaling through a tunable commitment rate
XinXin Du, Lucy Erin O’Brien, Ingmar Riedel-Kruse

bioRxiv 137638; doi: https://doi.org/10.1101/137638

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Sensitivity analysis of Wnt β-catenin based transcription complex might bolster power-logarithmic psychophysical law & reveal preserved gene gene interactions
Shriprakash Sinha

bioRxiv 015834; doi: https://doi.org/10.1101/015834

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Classification of gene signatures for their information value and functional redundancy
Laura Cantini, Laurence Calzone, Loredana Martignetti, Mattias Rydenfelt, Nils Blüthgen, Emmanuel Barillot, Andrei Zinovyev

bioRxiv 136499; doi: https://doi.org/10.1101/136499

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Systems-level Analysis of 32 TCGA Cancers Reveals Disease-dependent tRNA Fragmentation Patterns and Very Selective Associations with Messenger RNAs and Repeat Elements
Isidore Rigoutsos, Aristeidis G. Telonis, Phillipe Loher, Rogan Magee, Yohei Kirino, Venetia Pliatsika

bioRxiv 135517; doi: https://doi.org/10.1101/135517

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DeepMetabolism: A Deep Learning System to Predict Phenotype from Genome Sequencing
Weihua Guo, You (Eric) Xu, Xueyang Feng

bioRxiv 135574; doi: https://doi.org/10.1101/135574

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