Browse our latest Computational and Systems Biology articles

Page 53 of 131
    1. Computational and Systems Biology

    Quantifying dynamic facial expressions under naturalistic conditions

    Jayson Jeganathan, Megan Campbell ... Michael Breakspear
    A novel computational pipeline uses time-frequency analysis to capture the dynamics of human facial expressions, and demonstrates abnormal facial dynamics in melancholic depression.
    1. Computational and Systems Biology
    2. Neuroscience

    Parallel processing, hierarchical transformations, and sensorimotor associations along the ‘where’ pathway

    Raymond Doudlah, Ting-Yu Chang ... Ari Rosenberg
    Hierarchical transformations of visual representations, saccade-related activity, and sensorimotor associations occur in parallel at the juncture of visual and parietal cortex.
    1. Cell Biology
    2. Computational and Systems Biology

    On the flexibility of the cellular amination network in E coli

    Helena Schulz-Mirbach, Alexandra Müller ... Steffen N Lindner
    The amination network for the distribution of assimilated ammonium throughout metabolism is defined by promiscuous transaminases, allowing a high flexibility of the network that supported engineering novel connections and even alternative ammonium assimilation entry points.
    1. Computational and Systems Biology

    Decoding mechanism of action and sensitivity to drug candidates from integrated transcriptome and chromatin state

    Caterina Carraro, Lorenzo Bonaguro ... Barbara Gatto
    Combined analyses of transcriptome and chromatin accessibility elucidated the mechanisms underlying cancer cell lines response to antitumor candidates and provided a versatile perturbation-informed basal signature able to predict drug sensitivity.
    1. Computational and Systems Biology
    2. Physics of Living Systems

    Defining hierarchical protein interaction networks from spectral analysis of bacterial proteomes

    Mark A Zaydman, Alexander S Little ... Arjun S Raman
    The emergent organization of bacterial proteomes—the integration of proteins into collective networks that encode function—can be defined purely from spectral analysis of ortholog covariation across extant diversity.
    1. Computational and Systems Biology
    2. Microbiology and Infectious Disease

    Machine learning-assisted discovery of growth decision elements by relating bacterial population dynamics to environmental diversity

    Honoka Aida, Takamasa Hashizume ... Bei-Wen Ying
    A smart combination of machine learning and high-throughput data generation of bacterial population dynamics successfully leads to an intriguing finding of the differentiation in decision-making components for bacterial growth.
    1. Cancer Biology
    2. Computational and Systems Biology

    Mapping the single-cell landscape of acral melanoma and analysis of the molecular regulatory network of the tumor microenvironments

    Zan He, Zijuan Xin ... Hua Zhao
    A single-cell landscape of acral melanoma and the intermolecular regulatory relationships between microenvironments.
    1. Computational and Systems Biology

    Rewiring of liver diurnal transcriptome rhythms by triiodothyronine (T3) supplementation

    Leonardo Vinicius Monteiro de Assis, Lisbeth Harder ... Henrik Oster
    High triiodothyronine levels lead to a broad rewiring of the liver transcriptome, which mostly occurs downstream of the liver clock machinery itself, thus suggesting that daytime critically affects thyroid hormone action in the liver.
    1. Computational and Systems Biology
    2. Epidemiology and Global Health

    The unmitigated profile of COVID-19 infectiousness

    Ron Sender, Yinon Bar-On ... Ron Milo
    In the absence of COVID-19 mitigation measures, SARS-CoV-2 remains infectious for longer than previously estimated.
    1. Computational and Systems Biology
    2. Ecology

    Data-driven causal analysis of observational biological time series

    Alex Eric Yuan, Wenying Shou
    Visualizations, simulations, and examples are used to provide an accessible synthesis of the reasoning and assumptions behind commonly used causal discovery approaches.