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Reverse-engineering biological networks from large data sets
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inferredcites →https://doi.org/10.1002/j.1538-7305.1948.tb01338.xopenalex-snapshot
A Mathematical Theory of Communication
inferredcites →https://doi.org/10.1002/wsbm.144openalex-snapshot
Systems biology and the future of medicine
inferredcites →https://doi.org/10.1006/jtbi.1996.0176openalex-snapshot
Co-response Analysis: A New Experimental Strategy for Metabolic Control Analysis
inferredcites →https://doi.org/10.1007/978-1-4615-5345-8_22openalex-snapshot
Mining the Gene Expression Matrix: Inferring Gene Relationships from Large Scale Gene Expression Data
inferredcites →https://doi.org/10.1007/978-1-4939-0366-5_5openalex-snapshot
Direct Coupling Analysis for Protein Contact Prediction
inferredcites →https://doi.org/10.1007/978-3-540-44485-5_21openalex-snapshot
Boolean Modelingof Genetic Regulatory Networks
inferredcites →https://doi.org/10.1007/978-3-540-76803-6_2openalex-snapshot
Inferring Gene Regulatory Networks from Expression Data
inferredcites →https://doi.org/10.1007/978-3-642-54474-3_1openalex-snapshot
Transfer Entropy in Neuroscience
inferredcites →https://doi.org/10.1007/bf02410536openalex-snapshot
Process pathway inference via time series analysis
inferredcites →https://doi.org/10.1007/bfb0091924openalex-snapshot
Detecting strange attractors in turbulence
inferredcites →https://doi.org/10.1007/s00422-006-0098-0openalex-snapshot
Linear and nonlinear causality between signals: methods, examples and neurophysiological applications
inferredcites →https://doi.org/10.1007/s10955-011-0229-4openalex-snapshot
Are Biological Systems Poised at Criticality?
inferredcites →https://doi.org/10.1007/s10955-012-0463-4openalex-snapshot
Adaptive Cluster Expansion for the Inverse Ising Problem: Convergence, Algorithm and Tests
inferredcites →https://doi.org/10.1007/s10955-016-1456-5openalex-snapshot
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inferredcites →https://doi.org/10.1007/s10994-009-5119-5openalex-snapshot
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inferredcites →https://doi.org/10.1007/s11306-009-0156-4openalex-snapshot
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inferredcites →https://doi.org/10.1007/s12065-013-0098-7openalex-snapshot
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inferredcites →https://doi.org/10.1016/0025-5564(71)90074-5openalex-snapshot
Stability in multispecies community models
inferredcites →https://doi.org/10.1016/0304-4076(88)90045-0openalex-snapshot
Some recent development in a concept of causality
inferredcites →https://doi.org/10.1016/j.biosystems.2008.12.004openalex-snapshot
Gene regulatory network inference: Data integration in dynamic models—A review
inferredcites →https://doi.org/10.1016/j.cell.2009.07.038openalex-snapshot
Protein Sectors: Evolutionary Units of Three-Dimensional Structure
inferredcites →https://doi.org/10.1016/j.cell.2011.02.016openalex-snapshot
Interactome Networks and Human Disease
inferredcites →https://doi.org/10.1016/j.conb.2008.11.005openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.copbio.2014.05.002openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.csbj.2014.08.006openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.drudis.2012.11.001openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.pharmthera.2013.01.016openalex-snapshot
Structure and dynamics of molecular networks: A novel paradigm of drug discovery
inferredcites →https://doi.org/10.1016/j.physd.2004.03.006openalex-snapshot
Optimal embedding parameters: a modelling paradigm
inferredcites →https://doi.org/10.1016/j.physleta.2004.02.032openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.plrev.2005.01.001openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.tig.2006.11.003openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.tig.2010.05.001openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.tree.2005.04.004openalex-snapshot
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inferredcites →https://doi.org/10.1016/s0022-2836(61)80072-7openalex-snapshot
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inferredcites →https://doi.org/10.1016/s0022-5193(05)80391-1openalex-snapshot
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inferredcites →https://doi.org/10.1016/s0076-6879(09)67013-0openalex-snapshot
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inferredcites →https://doi.org/10.1016/s0165-0270(99)00129-6openalex-snapshot
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inferredcites →https://doi.org/10.1016/s0167-7799(02)02053-xopenalex-snapshot
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inferredcites →https://doi.org/10.1016/s0167-7799(03)00140-9openalex-snapshot
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inferredcites →https://doi.org/10.1016/s0168-9525(02)02692-6openalex-snapshot
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inferredcites →https://doi.org/10.1016/s0303-2647(99)00090-8openalex-snapshot
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inferredcites →https://doi.org/10.1016/s0364-0213(85)80012-4openalex-snapshot
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inferredcites →https://doi.org/10.1016/s1367-5931(00)00164-2openalex-snapshot
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inferredcites →https://doi.org/10.1021/j100003a020openalex-snapshot
Statistical Construction of Chemical Reaction Mechanisms from Measured Time-Series
inferredcites →https://doi.org/10.1038/238413a0openalex-snapshot
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inferredcites →https://doi.org/10.1038/35011540openalex-snapshot
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inferredcites →https://doi.org/10.1038/35036627openalex-snapshot
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inferredcites →https://doi.org/10.1038/35075138openalex-snapshot
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inferredcites →https://doi.org/10.1038/msb.2008.52openalex-snapshot
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inferredcites →https://doi.org/10.1038/msb4100129openalex-snapshot
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inferredcites →https://doi.org/10.1038/msb4100158openalex-snapshot
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inferredcites →https://doi.org/10.1038/nature04701openalex-snapshot
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inferredcites →https://doi.org/10.1038/nbt.1563openalex-snapshot
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inferredcites →https://doi.org/10.1038/nbt.2106openalex-snapshot
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inferredcites →https://doi.org/10.1038/ncb1543openalex-snapshot
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inferredcites →https://doi.org/10.1038/nchembio.122openalex-snapshot
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inferredcites →https://doi.org/10.1038/nchembio.478openalex-snapshot
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inferredcites →https://doi.org/10.1038/ncomms9133openalex-snapshot
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inferredcites →https://doi.org/10.1038/ng.167openalex-snapshot
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inferredcites →https://doi.org/10.1038/ng.281openalex-snapshot
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inferredcites →https://doi.org/10.1038/ng1532openalex-snapshot
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inferredcites →https://doi.org/10.1038/ng881openalex-snapshot
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inferredcites →https://doi.org/10.1038/nm0203-166openalex-snapshot
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inferredcites →https://doi.org/10.1038/nmeth.2016openalex-snapshot
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inferredcites →https://doi.org/10.1038/nmeth.2434openalex-snapshot
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inferredcites →https://doi.org/10.1038/nmeth.2481openalex-snapshot
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inferredcites →https://doi.org/10.1038/nmeth.2936openalex-snapshot
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inferredcites →https://doi.org/10.1038/nmeth0410-247openalex-snapshot
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inferredcites →https://doi.org/10.1038/nrg.2016.69openalex-snapshot
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inferredcites →https://doi.org/10.1038/nrg1272openalex-snapshot
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inferredcites →https://doi.org/10.1038/nrg2918openalex-snapshot
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inferredcites →https://doi.org/10.1038/nrg996openalex-snapshot
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inferredcites →https://doi.org/10.1038/nrm2503openalex-snapshot
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inferredcites →https://doi.org/10.1038/nrmicro1371openalex-snapshot
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inferredcites →https://doi.org/10.1038/nrmicro2419openalex-snapshot
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inferredcites →https://doi.org/10.1038/nrn2575openalex-snapshot
Complex brain networks: graph theoretical analysis of structural and functional systems
inferredcites →https://doi.org/10.1038/oby.2008.615openalex-snapshot
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inferredcites →https://doi.org/10.1038/srep09450openalex-snapshot
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inferredcites →https://doi.org/10.1038/srep24088openalex-snapshot
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inferredcites →https://doi.org/10.1038/srep24456openalex-snapshot
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inferredcites →https://doi.org/10.1038/srep38100openalex-snapshot
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inferredcites →https://doi.org/10.1039/b916989jopenalex-snapshot
Network inference and network response identification: moving genome-scale data to the next level of biological discovery
inferredcites →https://doi.org/10.1049/iet-syb.2010.0009openalex-snapshot
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inferredcites →https://doi.org/10.1049/iet-syb:20060071openalex-snapshot
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inferredcites →https://doi.org/10.1049/iet-syb:20060075openalex-snapshot
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inferredcites →https://doi.org/10.1063/1.1985393openalex-snapshot
Learning Large-Scale Graphical Gaussian Models from Genomic Data
inferredcites →https://doi.org/10.1073/pnas.0409522102openalex-snapshot
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inferredcites →https://doi.org/10.1073/pnas.0609152103openalex-snapshot
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inferredcites →https://doi.org/10.1073/pnas.0701519104openalex-snapshot
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inferredcites →https://doi.org/10.1073/pnas.0802272105openalex-snapshot
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inferredcites →https://doi.org/10.1073/pnas.0805923106openalex-snapshot
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inferredcites →https://doi.org/10.1073/pnas.0900282106openalex-snapshot
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inferredcites →https://doi.org/10.1073/pnas.0913357107openalex-snapshot
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inferredcites →https://doi.org/10.1073/pnas.092576199openalex-snapshot
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inferredcites →https://doi.org/10.1073/pnas.0930314100openalex-snapshot
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inferredcites →https://doi.org/10.1073/pnas.0933416100openalex-snapshot
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inferredcites →https://doi.org/10.1073/pnas.1001705107openalex-snapshot
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inferredcites →https://doi.org/10.1073/pnas.1019641108openalex-snapshot
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inferredcites →https://doi.org/10.1073/pnas.1111471108openalex-snapshot
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inferredcites →https://doi.org/10.1073/pnas.1118633109openalex-snapshot
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inferredcites →https://doi.org/10.1073/pnas.1200790109openalex-snapshot
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inferredcites →https://doi.org/10.1073/pnas.1201281109openalex-snapshot
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inferredcites →https://doi.org/10.1073/pnas.1315642110openalex-snapshot
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inferredcites →https://doi.org/10.1073/pnas.1514188112openalex-snapshot
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inferredcites →https://doi.org/10.1073/pnas.192442699openalex-snapshot
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inferredcites →https://doi.org/10.1073/pnas.220392197openalex-snapshot
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inferredcites →https://doi.org/10.1073/pnas.95.1.334openalex-snapshot
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inferredcites →https://doi.org/10.1086/659950openalex-snapshot
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inferredcites →https://doi.org/10.1088/1478-3975/13/6/066012openalex-snapshot
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inferredcites →https://doi.org/10.1088/1742-5468/2011/10/p10012openalex-snapshot
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inferredcites →https://doi.org/10.1088/1742-5468/2013/03/p03011openalex-snapshot
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inferredcites →https://doi.org/10.1088/1751-8113/47/34/343001openalex-snapshot
Revealing networks from dynamics: an introduction
inferredcites →https://doi.org/10.1089/106652700750050961openalex-snapshot
Using Bayesian Networks to Analyze Expression Data
inferredcites →https://doi.org/10.1089/10665270252833208openalex-snapshot
Modeling and Simulation of Genetic Regulatory Systems: A Literature Review
inferredcites →https://doi.org/10.1089/106652704773416885openalex-snapshot
Reconstructing Pathways in Large Genetic Networks from Genetic Perturbations
inferredcites →https://doi.org/10.1089/brain.2011.0008openalex-snapshot
Functional and Effective Connectivity: A Review
inferredcites →https://doi.org/10.1089/cmb.2010.0222openalex-snapshot
Mass Conservation and Inference of Metabolic Networks from High-Throughput Mass Spectrometry Data
inferredcites →https://doi.org/10.1093/acprof:oso/9780199591756.001.0001openalex-snapshot
The Structure of Complex Networks: Theory and Applications
inferredcites →https://doi.org/10.1093/bib/bbl040openalex-snapshot
Dynamic modelling and analysis of biochemical networks: mechanism-based models and model-based experiments
inferredcites →https://doi.org/10.1093/bib/bbp028openalex-snapshot
Computational methods for discovering gene networks from expression data
inferredcites →https://doi.org/10.1093/bib/bbs026openalex-snapshot
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inferredcites →https://doi.org/10.1093/bioinformatics/16.8.707openalex-snapshot
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inferredcites →https://doi.org/10.1093/bioinformatics/17.12.1183openalex-snapshot
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inferredcites →https://doi.org/10.1093/bioinformatics/18.suppl_1.s216openalex-snapshot
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inferredcites →https://doi.org/10.1093/bioinformatics/btg386openalex-snapshot
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inferredcites →https://doi.org/10.1093/bioinformatics/bth173openalex-snapshot
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inferredcites →https://doi.org/10.1093/bioinformatics/bth337openalex-snapshot
Reconstruction of gene networks using Bayesian learning and manipulation experiments
inferredcites →https://doi.org/10.1093/bioinformatics/bth445openalex-snapshot
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inferredcites →https://doi.org/10.1093/bioinformatics/bth941openalex-snapshot
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inferredcites →https://doi.org/10.1093/bioinformatics/bti064openalex-snapshot
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inferredcites →https://doi.org/10.1093/bioinformatics/btl003openalex-snapshot
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inferredcites →https://doi.org/10.1093/bioinformatics/btn658openalex-snapshot
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inferredcites →https://doi.org/10.1093/bioinformatics/btp192openalex-snapshot
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inferredcites →https://doi.org/10.1093/bioinformatics/btr239openalex-snapshot
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inferredcites →https://doi.org/10.1093/bioinformatics/btr626openalex-snapshot
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inferredcites →https://doi.org/10.1093/bioinformatics/btr638openalex-snapshot
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inferredcites →https://doi.org/10.1093/bioinformatics/btt099openalex-snapshot
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inferredcites →https://doi.org/10.1093/bioinformatics/btu285openalex-snapshot
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inferredcites →https://doi.org/10.1093/bioinformatics/btu382openalex-snapshot
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inferredcites →https://doi.org/10.1093/bioinformatics/btu452openalex-snapshot
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inferredcites →https://doi.org/10.1093/bioinformatics/btv672openalex-snapshot
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inferredcites →https://doi.org/10.1093/molbev/msi072openalex-snapshot
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inferredcites →https://doi.org/10.1093/nar/gkw450openalex-snapshot
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inferredcites →https://doi.org/10.1098/rsfs.2011.0053openalex-snapshot
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inferredcites →https://doi.org/10.1098/rsif.2012.0223openalex-snapshot
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inferredcites →https://doi.org/10.1098/rsif.2013.0505openalex-snapshot
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inferredcites →https://doi.org/10.1098/rspb.2015.2258openalex-snapshot
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inferredcites →https://doi.org/10.1098/rsta.2007.2092openalex-snapshot
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inferredcites →https://doi.org/10.1101/gad.1528707openalex-snapshot
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inferredcites →https://doi.org/10.1101/gr.2439804openalex-snapshot
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inferredcites →https://doi.org/10.1103/physrev.106.620openalex-snapshot
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inferredcites →https://doi.org/10.1103/physreve.69.066138openalex-snapshot
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inferredcites →https://doi.org/10.1103/physreve.70.050902openalex-snapshot
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inferredcites →https://doi.org/10.1103/physreve.70.056221openalex-snapshot
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inferredcites →https://doi.org/10.1103/physreve.75.021915openalex-snapshot
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inferredcites →https://doi.org/10.1103/physreve.79.051915openalex-snapshot
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inferredcites →https://doi.org/10.1103/physreve.83.051122openalex-snapshot
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inferredcites →https://doi.org/10.1103/physreve.86.061121openalex-snapshot
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inferredcites →https://doi.org/10.1103/physreve.90.062903openalex-snapshot
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inferredcites →https://doi.org/10.1103/physrevlett.100.144103openalex-snapshot
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inferredcites →https://doi.org/10.1103/physrevlett.103.095501openalex-snapshot
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inferredcites →https://doi.org/10.1103/physrevlett.106.090601openalex-snapshot
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inferredcites →https://doi.org/10.1103/physrevlett.107.128701openalex-snapshot
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inferredcites →https://doi.org/10.1103/physrevlett.108.065901openalex-snapshot
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inferredcites →https://doi.org/10.1103/physrevlett.113.068102openalex-snapshot
Zipf’s Law and Criticality in Multivariate Data without Fine-Tuning
inferredcites →https://doi.org/10.1103/physrevlett.85.461openalex-snapshot
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inferredcites →https://doi.org/10.1105/tpc.107.054700openalex-snapshot
Network Inference, Analysis, and Modeling in Systems Biology
inferredcites →https://doi.org/10.1109/proc.1982.12425openalex-snapshot
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inferredcites →https://doi.org/10.1109/tmbmc.2016.2633265openalex-snapshot
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inferredcites →https://doi.org/10.1111/j.1749-6632.2009.04497.xopenalex-snapshot
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inferredcites →https://doi.org/10.1126/sciadv.1600396openalex-snapshot
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inferredcites →https://doi.org/10.1126/science.1065103openalex-snapshot
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inferredcites →https://doi.org/10.1126/science.1081900openalex-snapshot
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inferredcites →https://doi.org/10.1126/science.1087447openalex-snapshot
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inferredcites →https://doi.org/10.1126/science.1089072openalex-snapshot
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inferredcites →https://doi.org/10.1126/science.1094068openalex-snapshot
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inferredcites →https://doi.org/10.1126/science.1165893openalex-snapshot
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inferredcites →https://doi.org/10.1126/science.1204553openalex-snapshot
Information Transduction Capacity of Noisy Biochemical Signaling Networks
inferredcites →https://doi.org/10.1126/science.1216142openalex-snapshot
Critical Truths About Power Laws
inferredcites →https://doi.org/10.1126/science.1227079openalex-snapshot
Detecting Causality in Complex Ecosystems
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What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Robust Approaches to Generating Reliable Predictive Models in Systems Biology
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Generating synthetic aging trajectories with a weighted network model using cross-sectional data
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Statistical properties of large data sets with linear latent features
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Correlations in microbial abundance data reveal host-bacteria and bacteria-bacteria interactions jointly shaping the C. elegans microbiome
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Measuring behavior across scales
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inferred← citeshttps://doi.org/10.1371/journal.pone.0196527openalex-snapshot
Active learning of cortical connectivity from two-photon imaging data
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Interactomic Analyses and a Reverse Engineering Study Identify Specific Functional Activities of One-to-One Interactions of the S1 Subunit of the SARS-CoV-2 Spike Protein with the Human Proteome
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A Comparison of the Maximum Entropy Principle Across Biological Spatial Scales
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Understanding the SARS-CoV-2–Human Liver Interactome Using a Comprehensive Analysis of the Individual Virus–Host Interactions
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Unsupervised Bayesian Ising Approximation for revealing the neural dictionary in songbirds
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