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  1.  16
    The molecular and mathematical basis of Waddington's epigenetic landscape: A framework for post‐Darwinian biology?Sui Huang - 2012 - Bioessays 34 (2):149-157.
    The Neo‐Darwinian concept of natural selection is plausible when one assumes a straightforward causation of phenotype by genotype. However, such simple 1:1 mapping must now give place to the modern concepts of gene regulatory networks and gene expression noise. Both can, in the absence of genetic mutations, jointly generate a diversity of inheritable randomly occupied phenotypic states that could also serve as a substrate for natural selection. This form of epigenetic dynamics challenges Neo‐Darwinism. It needs to incorporate the non‐linear, stochastic (...)
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  2.  10
    Reprogramming cell fates: reconciling rarity with robustness.Sui Huang - 2009 - Bioessays 31 (5):546-560.
    The stunning possibility of “reprogramming” differentiated somatic cells to express a pluripotent stem cell phenotype (iPS, induced pluripotent stem cell) and the “ground state” character of pluripotency reveal fundamental features of cell fate regulation that lie beyond existing paradigms. The rarity of reprogramming events appears to contradict the robustness with which the unfathomably complex phenotype of stem cells can reliably be generated. This apparent paradox, however, is naturally explained by the rugged “epigenetic landscape” with valleys representing “preprogrammed” attractor states that (...)
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  3.  13
    When peers are not peers and don't know it: The Dunning‐Kruger effect and self‐fulfilling prophecy in peer‐review.Sui Huang - 2013 - Bioessays 35 (5):414-416.
    The fateful combination of (i) the Dunning‐Kruger effect (ignorance of one's own ignorance) with (ii) the nonlinear dynamics of the echo‐chamber between reviewers and editors fuels a self‐reinforcing collective delusion system that sometimes spirals uncontrollably away from objectivity and truth. Escape from this subconscious meta‐ignorance is a formidable challenge but if achieved will help correct a central deficit of the peer‐review process that stifles innovation and paradigm shifts.
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  4.  15
    The next step in systems biology: simulating the temporospatial dynamics of molecular network.Hao Zhu, Sui Huang & Pawan Dhar - 2004 - Bioessays 26 (1):68-72.
    As a result of the time‐ and context‐dependency of gene expression, gene regulatory and signaling pathways undergo dynamic changes during development. Creating a model of the dynamics of molecular interaction networks offers enormous potential for understanding how a genome orchestrates the developmental processes of an organism. The dynamic nature of pathway topology calls for new modeling strategies that can capture transient molecular links at the runtime. The aim of this paper is to present a brief and informative, but not all‐inclusive, (...)
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  5.  25
    Personalized, Precision, and N-of-One Medicine: A Clarification of Terminology and Concepts.Sui Huang & Leroy Hood - 2019 - Perspectives in Biology and Medicine 62 (4):617-639.
    In the tradition of Western medicine that goes back to Hippocrates, we teach medical students to see beyond the disease and to consider the patient as a whole—to take into account the broader context of family, lifestyle, and environmental exposures. For instance, when measuring blood pressure to diagnose hypertension, family history and situational stress must be considered. Moreover, repeated measurements at multiple time points must be performed to avoid a false-positive diagnosis due to temporary fluctuations of blood pressure. The diagnosis (...)
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  6.  32
    The Tension Between Big Data and Theory in the "Omics" Era of Biomedical Research.Sui Huang - 2018 - Perspectives in Biology and Medicine 61 (4):472-488.
    [Without a theorising], a man might as well go into a gravel-pit and count the pebbles and describe the colours. How odd it is that anyone should not see that all observation must be for or against some view if it is to be of any service!Recent years have seen a steady shift of funding programs in biomedical research towards data collection, analysis, and management and its computational analysis. A sizable majority of new major funding opportunity announcements call for assembling (...)
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  7.  9
    When correlation and causation coincide.Sui Huang - 2014 - Bioessays 36 (1):1-2.
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