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1
Cross-species regulatory sequence activity prediction
Cross-species regulatory sequence activity prediction
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Cross-species regulatory sequence activity prediction

Kelley, David R Ma, Jian

PLoS computational biology, 2020-07, Vol.16 (7), p.e1008050-e1008050 [Peer Reviewed Journal]

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2
Stochastic principles governing alternative splicing of RNA
Stochastic principles governing alternative splicing of RNA
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Stochastic principles governing alternative splicing of RNA

Hu, Jianfei ; Boritz, Eli ; Wylie, William ; Douek, Daniel C Chen, Kevin

PLoS computational biology, 2017-09, Vol.13 (9), p.e1005761-e1005761 [Peer Reviewed Journal]

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3
How evolution learns to generalise: Using the principles of learning theory to understand the evolution of developmental organisation
How evolution learns to generalise: Using the principles of learning theory to understand the evolution of developmental organisation
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How evolution learns to generalise: Using the principles of learning theory to understand the evolution of developmental organisation

Kouvaris, Kostas ; Clune, Jeff ; Kounios, Loizos ; Brede, Markus ; Watson, Richard A Rzhetsky, Andrey

PLoS computational biology, 2017-04, Vol.13 (4), p.e1005358-e1005358 [Peer Reviewed Journal]

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4
Combining experiments and simulations using the maximum entropy principle
Combining experiments and simulations using the maximum entropy principle
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Combining experiments and simulations using the maximum entropy principle

Boomsma, Wouter ; Ferkinghoff-Borg, Jesper ; Lindorff-Larsen, Kresten Levitt, Michael

PLoS computational biology, 2014-02, Vol.10 (2), p.e1003406-e1003406 [Peer Reviewed Journal]

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5
A design principle of group-level decision making in cell populations
A design principle of group-level decision making in cell populations
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A design principle of group-level decision making in cell populations

Fujimoto, Koichi ; Sawai, Satoshi Alber, Mark S.

PLoS computational biology, 2013-06, Vol.9 (6), p.e1003110-e1003110 [Peer Reviewed Journal]

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6
Computational modeling of allosteric communication reveals organizing principles of mutation-induced signaling in ABL and EGFR kinases
Computational modeling of allosteric communication reveals organizing principles of mutation-induced signaling in ABL and EGFR kinases
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Computational modeling of allosteric communication reveals organizing principles of mutation-induced signaling in ABL and EGFR kinases

Dixit, Anshuman ; Verkhivker, Gennady M Nussinov, Ruth

PLoS computational biology, 2011-10, Vol.7 (10), p.e1002179-e1002179 [Peer Reviewed Journal]

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7
Nonlinear Hebbian Learning as a Unifying Principle in Receptive Field Formation
Nonlinear Hebbian Learning as a Unifying Principle in Receptive Field Formation
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Nonlinear Hebbian Learning as a Unifying Principle in Receptive Field Formation

Brito, Carlos S N ; Gerstner, Wulfram Beck, Jeff

PLoS computational biology, 2016-09, Vol.12 (9), p.e1005070-e1005070 [Peer Reviewed Journal]

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8
Gause's principle and the effect of resource partitioning on the dynamical coexistence of replicating templates
Gause's principle and the effect of resource partitioning on the dynamical coexistence of replicating templates
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Gause's principle and the effect of resource partitioning on the dynamical coexistence of replicating templates

Szilágyi, András ; Zachar, István ; Szathmáry, Eörs Wilke, Claus O.

PLoS computational biology, 2013-08, Vol.9 (8), p.e1003193-e1003193 [Peer Reviewed Journal]

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9
Operational Principles for the Dynamics of the In Vitro ParA-ParB System
Operational Principles for the Dynamics of the In Vitro ParA-ParB System
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Operational Principles for the Dynamics of the In Vitro ParA-ParB System

Jindal, Lavisha ; Emberly, Eldon Grubmüller, Helmut

PLoS computational biology, 2015-12, Vol.11 (12), p.e1004651-e1004651 [Peer Reviewed Journal]

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10
Enhanced flux prediction by integrating relative expression and relative metabolite abundance into thermodynamically consistent metabolic models
Enhanced flux prediction by integrating relative expression and relative metabolite abundance into thermodynamically consistent metabolic models
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Enhanced flux prediction by integrating relative expression and relative metabolite abundance into thermodynamically consistent metabolic models

Pandey, Vikash ; Hadadi, Noushin ; Hatzimanikatis, Vassily Patil, Kiran Raosaheb

PLoS computational biology, 2019-05, Vol.15 (5), p.e1007036-e1007036 [Peer Reviewed Journal]

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