{"id":1906,"date":"2022-01-19T03:33:51","date_gmt":"2022-01-19T08:33:51","guid":{"rendered":"https:\/\/beta.research.ece.ncsu.edu\/enbisys\/?page_id=1906"},"modified":"2026-05-02T15:02:46","modified_gmt":"2026-05-02T19:02:46","slug":"publications","status":"publish","type":"page","link":"https:\/\/research.ece.ncsu.edu\/enbisys\/publications\/","title":{"rendered":"EnBiSys Publications"},"content":{"rendered":"\n\n\n\n\n\n\n

Recent Publications<\/h2>\n\n\n\n

Refereed Journal Publications<\/em><\/strong> (Advisees of Dr. Williams indicated by underline)<\/em><\/p>\n\n\n\n

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  1. Gordon M<\/span>, Akyol TY, Amos B<\/span>, Andersen SU, Williams C. <\/strong>KeySDL: sparse dictionary learning for keystone microbe identification from steady-state observations using a dynamical-systems model. BioData Mining<\/em> 19, 18, 2026. https:\/\/doi.org\/10.1186\/s13040-026-00527-3<\/a> <\/li>\n\n\n\n
  2. Carbajal M<\/span>, Jones D, Williams C<\/strong>, Nelson NG. In-season yield forecasting using multitemporal remote sensing environmental observations and machine learning: Applications for sweetpotato in North Carolina, USA. European Journal of Agronomy, <\/em>172, 127818, 2026. https:\/\/doi.org\/10.1016\/j.eja.2025.127818<\/a><\/li>\n\n\n\n
  3. Bloom ZA, Larsen JC, Pena Martinez E, Williams CM,<\/strong> Jones DS, Kudenov MW. High-throughput classification and quantification of skinning phenotype in sweet potatoes. The Plant Phenome Journal<\/em>, 8, e70023, 2025. https:\/\/doi.org\/10.1002\/ppj2.70023<\/a><\/li>\n\n\n\n
  4. Madison I, Buckner ED<\/span>, de Luis Balaguer MA, Song J, Ding J, Kimbell A, Selote D, Hunt A, Bueso E, Sozzani R, Williams C<\/strong>, Long TA. Iron deficiency changes regulatory mechanisms governing sieve element cell differentiation. Nature Communications<\/em>, 16, 10196, 2025. https:\/\/doi.org\/10.1038\/s41467-025-65428-1<\/a> <\/strong><\/li>\n\n\n\n
  5. Schloop AE, Hiremath SV<\/span>, Shaikh R, Dima SS, Lizardo L, Bhakta A, Williams CM,<\/strong> Reeves GT. Spatiotemporal dynamics of NF-\u03baB\/Dorsal inhibitor I\u03baB\u03b1\/Cactus in Drosophila<\/em> blastoderm embryos. iScience,<\/em> 28:7, 112854, 2025. https:\/\/doi.org\/10.1016\/j.isci.2025.112854<\/a> <\/li>\n\n\n\n
  6. Roberts DL, Gorny A, Jones DS, Kudenov MW, Pratt L, Malcolm N, Williams C.<\/strong> Knowledge and Opportunities for Managing Plant-Parasitic Nematodes Using Decision Intelligence. PhytoFrontiers, <\/em>5:275-282, 2025. https:\/\/doi.org\/10.1094\/PHYTOFR-09-24-0099-P<\/a><\/li>\n\n\n\n
  7. Nguyen, H. M., Gyurek, S., Mierop, R., Pecota, K. V., LaGamba, K., Boyette, M., Yencho, G. C., Williams, C. M<\/strong>., & Kudenov, M. W. (2025). Deployment and analysis of instance segmentation algorithm for in-field yield estimation of sweet potatoes. The Plant Phenome Journal<\/em>, 8, e70026. https:\/\/doi.org\/10.1002\/ppj2.70026<\/a><\/li>\n\n\n\n
  8. B.J. Weihs, Z. Tang, S. Roy<\/span>, Z. Tian, D.J. Heuschele, Z. Zhang, C.M. Williams<\/strong>, Z. Zhang, G. Heineck, S. Saha, Z. Xu, “No more laborious stem counting: AI-powered computer vision enables identification and quantification of solid and hollow alfalfa stems at the pixel level,” Smart Agricultural Technology<\/em>, 12, 101278, 2025. https:\/\/doi.org\/10.1016\/j.atech.2025.101278<\/a><\/li>\n\n\n\n
  9. Hadel Y. Al Asafen, Aydin Beseli, Sharva Hiremath<\/span>, Cranos M. Williams<\/strong>, and Gregory T Reeves, \u201cDynamics of BMP signaling and stable gene expression in early Drosophila <\/em>embryo,\u201d Biology Open<\/em>, 13(9):bio061646, 2024. https:\/\/doi.org\/10.1242\/bio.061646<\/a><\/li>\n\n\n\n
  10. H. Liu<\/span>*, S. Hunt*, G. Craig Yencho, K. Pecota, R. Mierop, C. Williams<\/strong>, D. Jones, \u201cPredicting Sweetpotato Traits Using Machine Learning: Impact of Environmental and Agronomic Factors on Shape and Size,\u201d, Computers and Electronics in Agriculture<\/em>, vol. 225, 109215, 2024. (*co-first authors) https:\/\/doi.org\/10.1016\/j.compag.2024.109215<\/a><\/li>\n\n\n\n
  11. E. Pena Martinez, M. Kudenov, H. Nguyen, D. Jones, C. Williams<\/strong>, \u201cEvaluating two high-throughput phenotyping platforms at early stages of the post-harvest pipeline of sweetpotatoes,\u201d Smart Agricultural Technology, vol 8, 2024, https:\/\/doi.org\/10.1016\/j.atech.2024.100469<\/a> <\/li>\n\n\n\n
  12. MT Ahmed, NK Wijewardane, Y Lu, <\/strong>DS Jones, M Kudenov, C. Williams<\/strong>, A Villordon, M Kamruzzaman. Advancing Sweetpotato Quality Assessment with Hyperspectral Imaging and Explainable Artificial Intelligence. Computers and Electronics in Agriculture.<\/em> Volume 220, 108855. link<\/a> (2024)<\/li>\n\n\n\n
  13. E. Haverroth, M. Gobble, L. Bradley, K. Harris-Gilliam, A. Fischer, C. Williams<\/strong>, T. Long, R. Sozzani, \u201cThe Black American experience: Answering the global challenge of broadening participation in STEM\/agriculture,\u201d The Plant Cell, 2024;, koae002, https:\/\/doi-org.prox.lib.ncsu.edu\/10.1093\/plcell\/koae002<\/a><\/li>\n\n\n\n
  14. S. Schmittling<\/span>, D. Muhammad, S. Haque<\/span>, T. L. Long, C. Williams<\/strong>, \u201cCellular Clarity: Identifying Epidermis-specific Regulators of Iron Deficiency Response in Arabidopsis<\/em>,\u201d BMC Genomics, vol. 24, no. 1, pp 620, 2023.<\/li>\n\n\n\n
  15. Daniel Sulis, Xiao Jiang, Chenmin Yang, Megan L. Matthews<\/span>, Barbara Marques, Zachary Miller, Kai Lan, Carlos Cofre-Vega, Baoguang Liu, Runkun Sun, Henry Sederoff, Ryan Bing, Xiaoyan Sun, Cranos M. Williams<\/strong>, Hasan Jameel, Richard Phillips, Hou-min Chang, Ilona Peszlen, Yung-Yun Huang, Wei Li, Robert M. Kelly, Ronald R. Sederoff, Vincent L. Chiang, Rodolphe Barrangou, Jack P. Wang, \u201cMultiplex CRISPR-Editing of Wood for Sustainable Fiber Production,\u201d Science<\/em>, vol. 381, no. 6654, pp. 216-221, 2023.<\/li>\n\n\n\n
  16. S. Busato<\/span>, M. Gordon<\/span>, M. Chaudhari<\/span>, I. Jensen, T. Akyol, S. Andersen, and C. Williams<\/strong>, \u201cCompositionality, sparsity, spurious heterogeneity, and other data-driven challenges for machine learning algorithms within plant microbiome studies,\u201d Current Opinion in Plant Biology<\/em>, 71<\/em>, p.102326, 2023.<\/li>\n\n\n\n
  17. Y. Mustamin, T. Yigit Akyol, M. Gordon<\/span>, A. M. Manggabarani, Y. Isomura, Y. Kawamura, M.Bamba, C. M. Williams<\/strong>, S. U. Andersen, S. Sato (corr-auth), \u201cFER and LecRK show haplotype-dependent cold-responsiveness and mediate freezing tolerance in Lotus japonicus,\u201d Plant Physiology<\/em>, vol 191, Issue 2, Pages 1138\u20131152, 2023<\/li>\n\n\n\n
  18. D. Muhammad, N. M. Clark, S. Haque<\/span>, C. Williams<\/strong>, R. Sozzani, T. A. Long, \u201cPOPEYE intercellular localization mediates cell-specific iron deficiency responses,\u201d Plant Physiology<\/em>, 2022, kiac357, https:\/\/doi.org\/10.1093\/plphys\/kiac357<\/a><\/li>\n\n\n\n
  19. H. Tong<\/span>, H. Chen, C. Williams<\/strong>, \u201cIdentification of Transcription Factors Regulating SARS-CoV-2 Tropism Factor Expression by Inferring Cell-Type-Specific Transcriptional Regulatory Networks in Human Lungs,\u201d Viruses<\/em>, 14(4), 837, 2022; https:\/\/doi.org\/10.3390\/v14040837<\/li>\n\n\n\n
  20. M. Kudenov, A. Altaqui, and C. Williams<\/strong>, “Practical spectral photography II: snapshot spectral imaging using linear retarders and microgrid polarization cameras,” Opt. Express 30<\/em>, 12337-12352, 2022.<\/li>\n\n\n\n
  21. H. Tong<\/span>, H. Chen, and C. Williams<\/strong>. “Gene Regulatory Network of Secondary Cell Wall Biosynthesis during VND7 Induced de novo Xylem Formation.” International Journal of Biotechnology, Bioinformatics and Biomedical<\/em>, 11(4), 7, 2021.<\/li>\n\n\n\n
  22. E. Buckner<\/span>, H. Tong<\/span>, C. Ottley<\/span>, and C. Williams<\/strong>, \u201cHigh-throughput image segmentation and machine learning approaches in the plant sciences across multiple scales,\u201d Emerging Topics in Life Sciences<\/em>, https:\/\/doi-org.prox.lib.ncsu.edu\/10.1042\/ETLS20200273<\/a>, 2021<\/li>\n\n\n\n
  23. M. Kudenov, C. G. Scarboro, M. Boyette, G. Craig Yencho, and C. Williams<\/strong>, \u201cInternal defect scanning of sweetpotatoes using scattering spectroscopy,\u201d, PLoS One, <\/em>vol 16, no. 2, 2021.<\/em><\/li>\n\n\n\n
  24. C. Y. Lin, Y. Sun, J. Song, H. C. Chen, R. Shi, C. Yang, J. Liu, S. Tunlaya-Anukit, B. Liu, P. L. Loziuk, C. Williams, D. Muddiman, Y. Lin, R. Sederoff, J. Wang, V. Chiang, \u201cEnzyme Complexes of Ptr4CL and PtrHCT Modulate Co-enzyme A Ligation of Hydroxycinnamic Acids for Monolignol Biosynthesis in Populus trichocarpa,\u201d Frontiers in Plant Science, vol 12, 2021, DOI: 10.3389\/fpls.2021.727932<\/li>\n\n\n\n
  25. S. Haque<\/span>, N. Nelson, E. Lobaton, G. C. Yencho, K. Pecota, R. Mierop, M. Kudenov, M. Boyette, and C. Williams<\/strong>, “<\/em>Computer vision approach to characterize size and shape phenotypes of horticultural crops using high-throughput imagery,“<\/em>, Computers and Electronics in Agriculture,<\/em> vol. 182, 2021, https:\/\/doi.org\/10.1016\/j.compag.2021.106011<\/a>.<\/em><\/li>\n\n\n\n
  26. M. Matthews<\/span> and C. Williams<\/strong>, \u201cMulti-scale modeling of cross-regulatory transcript and protein influences,\u201d  In: MUKHTAR S. (eds) Modeling Transcriptional Regulation. Methods in Molecular Biology, vol 2328. Humana, New York, NY, 2021. https:\/\/doi.org\/10.1007\/978-1-0716-1534-8_7<\/li>\n\n\n\n
  27. M. Matthews<\/span>, J. Wang, R. Sederoff, V. L. Chiang, and C. Williams<\/strong>, \u201cA multiscale model of lignin biosynthesis for predicting bioenergy traits in Populus trichocarpa<\/em>,\u201d Computational and Structural Biotechnology Journal<\/em>, vol. 19, pp. 168-182, 2020. <\/li>\n\n\n\n
  28. Imani Madison, Charles Melvin, Eli Buckner<\/span>, Cranos Williams<\/strong>, Rosangela Sozzani, Terri Long, \u201cMAGIC: Live imaging of cellular division in plant seedlings using lightsheet microscopy,\u201d Methods in Cell Biology: Plant Cell Biology, <\/em>vol. 160, pp 405-418, 2020.<\/li>\n\n\n\n
  29. Eli Buckner<\/span>, Imani Madison, Charles Melvin, Terri Long, Rosangela Sozzani, Cranos Williams<\/strong>, \u201cBioVision Tracker: A Semi-automated Image Analysis Software for Spatiotemporal Gene Expression Tracking in Arabidopsis Thalians<\/em>,\u201d Methods in Cell Biology: Plant Cell Biology<\/em>, vol. 160, pp. 419-436, 2020.<\/li>\n\n\n\n
  30. H. Tong<\/span>, I. Madison, T. Long, C. Williams<\/strong>, \u201cComputational solutions for modeling and controlling plant response to abiotic stresses: a review with focus on iron deficiency,\u201d Current Opinion in Plant Biology, <\/em>vol. 57, pp. 8-15, 2020.<\/li>\n\n\n\n
  31. L. Van den Broeck, M. Gordon<\/span>, D. Inz\u00e9, C. Williams<\/strong>, R. Sozzani, \u201cGene regulatory network inference: connecting plant biology and mathematical modeling,\u201d Frontier in Genetics, Bioinformatics and Computational Biology<\/em>, vol. 11, 2020, p. 457.<\/li>\n\n\n\n
  32. M. Matthews<\/span>, J. Wang, R. Sederoff, V. Chiang, and C. M. Williams<\/strong>, \u201cModeling cross-regulatory influences on monolignol transcripts and proteins in Populus trichocarpa<\/em> under single and combinatorial gene knockdowns,\u201d PLoS Computational Biology, <\/em>vol 16, no 4, 2020.<\/li>\n\n\n\n
  33. E. Buckner<\/span>, I. Madison, H. Chou, C. E. Melvin, R. Sozzani, C. Williams<\/strong>, Terri A. Long, \u201cHigh Resolution Spatiotemporal Imaging and Analysis of Dynamic Cell Cycle Progression Patterns Under Iron Deficiency and Heat Stress Conditions,\u201d Frontiers in Plant Science<\/em>, vol. 10, pp. 1487, 2019. (CW and TL co-corresponding authors)<\/li>\n\n\n\n
  34. N. Clark, E. Buckner<\/span>, A. P. Fisher, E. C. Nelson, T. T. Nguyen, A. R. Simmons, M. A. de Luis Balaguer, T. Butler-Smith, P. J. Sheldon, D. C. Bergmann, C. M. Williams<\/strong>, R. Sozzani, \u201cStem-cell-ubiquitous genes spatiotemporally coordinate division through regulation of 2 stem-cell-specific gene networks,\u201d Nature Communications<\/em>, vol. 10, no. 1, pp. 1-11, 2019.<\/li>\n\n\n\n
  35. A. Koryachko<\/span>, A. Matthiadis, S. Haque<\/span>, D. Muhammad, J. Ducoste, J. Tuck, T. Long, C. Williams<\/strong>, \u201cDynamic modeling of the iron deficiency modulated transcriptome response in Arabidopsis thaliana roots,\u201d in silico Plants<\/em>, Volume 1, Issue 1, 2019, diz005, https:\/\/doi.org\/10.1093\/insilicoplants\/diz005<\/a>. (CW and TL co-corresponding authors)<\/li>\n\n\n\n
  36. C. T. Argueso, S. M. Assmann, K. D. Birnbaum, S. Chen, J. R. Dinneny, C. J. Doherty, A. L. Eveland, J. Friesner, V. R. Greenlee, J. A. Law, A. Marshall-Col\u00f3n, G. A. Mason, R. O’Lexy, S. C. Peck, R. J. Schmitz, L. Song, D. Stern, M. J. Varagona, J. W. Walley, and C. M. Williams<\/strong>, \u201cDirections for research and training in plant omics: Big Questions and Big Data,\u201d Plant Direct<\/em>, vol. 3, no. 4, pp. e00133\u201316, Apr. 2019. (SMA corresponding author)<\/li>\n\n\n\n
  37. J. P. Wang, M. L. Matthews<\/span>, P. P. Naik, C. M. Williams<\/strong>, J. J. Ducoste, R. R. Sederoff, and V. L. Chiang, \u201cFlux modeling for monolignol biosynthesis.,\u201d Current opinion in Biotechnology<\/em>, vol. 56, pp. 187\u2013192, Dec. 2018.<\/li>\n\n\n\n
  38. S. Haque<\/span>, J. S. Ahmad, N. M. Clark, C. M. Williams<\/strong>, and R. Sozzani, \u201cComputational prediction of gene regulatory networks in plant growth and development.,\u201d Current Opinion in Plant Biology<\/em>, vol. 47, pp. 96\u2013105, Nov. 2018. (CW and RS co-corresponding authors).<\/li>\n\n\n\n
  39. J. Wang, M. Matthews<\/span>, C. Williams<\/strong>, R. Shi, C. Yang, S. Tunlaya-Anukit, H. Chen, Q. Li, Jie L., C. Lin, P. Naik, Y. Sun, P. Loziuk, T. Yeh, H. Kim, E. Gjersing, T. Shollenberger, C. Shuford, J. Song, Z. Miller, Y. Huang, C. Edmunds, B. Liu, Y. Sun, Y. Lin, W. Li, H. Chen, I. Peszlen, J. Ducoste, J. Ralph, H. Chang, D. Muddiman, M. Davis, C. Smith, F. Isik, R. Sederoff, and V. Chiang, \u201cImproving wood properties for wood utilization through multi-omics integration in lignin biosynthesis,\u201d Nature communications<\/em>, 9(1), 1579, 2018.<\/li>\n\n\n\n
  40. P. Naik, J. Wang, J. Liu, H. Chen, R. Shi, C. M. Shuford, Q. Li, C.Y. Lin, D. C. Muddiman, R. Sederoff, V. Chiang, C. Williams<\/strong>, and J. Ducoste, \u201cAssessing the Impact of the 4cl<\/em> Complex on the Robustness of Monolignol Biosynthesis Using Metabolic Pathway Analysis,\u201d PLoS ONE, vol. 13, no. 3, e0193896, 2018.<\/li>\n\n\n\n
  41. Joanna Friesner, Sarah Assmann, Ruth Bastow, Julia Bailey-Serres, James Beynon, Volker Brendel, Robin Buell, Alexander Buksch, Jose Dinneny, Colleen Doherty, Andrea Eveland, Malia Gehan, Michael Gonzales, Erich Grotewold, Ute Kramer, Cody Markelz, Molly Megraw, Blake C. Meyers, Jim Murray, Nicholas J. Provart, Sue Rhee, Roger Smith, Edgar Spalding, Crispin Taylor, Tracy Teal, Keiko Torii, Chris Town, Matthew Vaughn, Richard Vierstra, Doreen Ware, Olivia Wilkins, Cranos Williams<\/strong>, Siobhan M. Brady, \u201cThe Next Generation of Training for Arabidopsis Researchers: Optimizing Training in Bioinformatics and Quantitative Biology for the Future,\u201d Plant physiology<\/em> 175, no. 4 (2017): 1499-1509.<\/li>\n\n\n\n
  42. M. A. de Luis Balaguer, A. P. Fisher, N. M. Clark, M. G. Fernandez-Espinosa, B. K. M\u00f6ller, D. Weijers, J. U. Lohmann, C. Williams<\/strong>, O. Lorenzo, and R. Sozzani, \u201cPredicting gene regulatory networks by combining spatial and temporal gene expression data in Arabidopsis root stem cells,\u201d Proc Natl Acad Sci USA<\/em>, vol. 114, no. 36, pp. E7632\u2013E7640, Sep. 2017.<\/li>\n\n\n\n
  43. D. Muhammad, S. Schmittling<\/span>, C. Williams<\/strong>, T. A. Long, \u201cMore than Meets the Eye: Emergent Properties of Transcription Factors Networks in Arabidopsis,\u201d BBA – Gene Regulatory Mechanisms, Special Issue: Plant Gene Regulatory Mechanisms, vol. 1860, pp. 64-74, 2016. (DM and SS co-first authors)<\/li>\n\n\n\n
  44. Jack P Wang, Sermsawat Tunlaya\u2010Anukit, Rui Shi, Ting\u2010Feng Yeh, Ling Chuang, Fikret Isik, Chenmin Yang, Jie Liu, Quanzi Li, Philip L Loziuk, Punith P Naik, David C Muddiman, Joel J Ducoste, Cranos M Williams<\/strong>, Ronald R Sederoff, Vincent L Chiang, \u201cA Proteomic\u2010Based Quantitative Analysis of the Relationship Between Monolignol Biosynthetic Protein Abundance and Lignin Content Using Transgenic Populus trichocarpa,\u201d Recent Advances in Polyphenol Research, vol. 5, pp. 89, 2016.<\/li>\n\n\n\n
  45. A. Koryachko<\/span>, A. Matthiadis, D. Muhammad, J. Foret, S. M. Brady, J. J. Ducoste, J. Tuck, T. A. Long, and C. Williams<\/strong>, \u201cClustering and Differential Alignment Algorithm: Identification of Early Stage Regulators in the Arabidopsis thaliana Iron Deficiency Response.,\u201d PLoS ONE, vol. 10, no. 8, pp. e0136591\u201321, 2015. (TL and CW: co-corresponding authors, AK and AM co-first authors) <\/em><\/li>\n\n\n\n
  46. A. Koryachko<\/span>, A. Matthiadis, J. Ducoste, J. Tuck, T. Long, and C. Williams<\/strong>, \u201cComputational approaches to identify regulators of plant stress response,\u201d Current Plant Biology, pp. 1\u201310, Jun. 2015, doi:10.1016\/j.cpb.2015.04.001. (invited review, TL and CW: co-corresponding authors)<\/li>\n\n\n\n
  47. C. Lin, J. Wang, Q. Li, H. Chen, J. Liu, P. Loziuk, J. Song<\/span>, C. Williams<\/strong>, D. Muddiman, R. Sederoff, and V. Chiang, \u201c4-Coumaroyl and Caffeoyl Shikimic Acids Inhibit 4-Coumaric Acid: Coenzyme A Ligases and Modulate Metabolic Flux for 3-Hydroxylation in Monolignol Biosynthesis of Populus trichocarpa<\/em>,\u201d Molecular Plant<\/em>, vol. 8, no. 1, pp. 176-187, 2015. <\/li>\n\n\n\n
  48. H. Chen, J. Song<\/span>, J. Wang, Y. Lin, J. Ducoste, C. Shuford, J. Liu, Q. Li, R. Shi, A. Nepomuceno, F. Isik, D. Muddiman, C. Williams<\/strong>, R. Sederoff, and V. Chiang, \u201cSystems Biology of Lignin Biosynthesis in Populus trichocarpa<\/em>: Heteromeric 4-Coumaric Acid:Coenzyme A Ligase Protein Complex Formation, Regulation, and Numerical Modeling,\u201d The<\/em> Plant Cell Online, <\/em>vol. 26, no. 3, pp. 876-893, 2014.  (HC and JS, co-first authors, equal credit; CW, RS, and VC, co-corresponding authors)<\/li>\n\n\n\n
  49. J. Wang, P. Naik, H. Chen, R. Shi, C. Lin, J. Jiu, C. Shuford, J. Ducoste, Q. Li, C. Williams<\/strong>, D. Muddiman, R. Sederoff, and V. Chiang, \u201cComplete Proteomic-Based Enzyme Reaction and Inhibition Kinetics Reveal How Monolignol Biosynthetic Enzyme Families Affect Metabolic Flux and Lignin in Populus trichocarpa<\/em>, \u201d The<\/em> Plant Cell Online<\/em>, vol. 26, no. 3, pp. 894-914, 2014. <\/li>\n\n\n\n
  50. M. A. de Luis Balaguer<\/span> and C. Williams<\/strong>, \u201cHierarchical modularization of biochemical pathways using Fuzzy-C Means clustering,\u201d IEEE Transactions on Systems, Man, and Cybernetics, Part B, vol. 44 (8), pp. 1473-1484, 2014. <\/li>\n\n\n\n
  51. H. Chen, J. Song<\/span>, C. Williams<\/strong>, C. Shuford, J. Liu, J. Wang, Q. Li, R. Shi, E. Gokce, J. Ducoste, D. Muddiman, R. Sederoff, and V. Chiang, \u201cMonolignol pathway 4-coumaric acid: CoA ligases in Populus trichocarpa<\/em>: Novel Specificity, Metabolic Regulation, and Simulation of CoA Ligation Fluxes,\u201d Plant Physiology, vol. 161, pp. 1501-1516, 2013. <\/li>\n\n\n\n
  52. S. Marvel<\/span> and C. Williams<\/strong>, \u201cSet membership experimental design for biological systems,\u201d BMC Systems Biology, vol. 6, no. 1, pp. 21, 2013. <\/li>\n\n\n\n
  53. B. Nabavi<\/span> and C. Williams<\/strong>, \u201cA novel cost function to estimate parameters of oscillatory biochemical systems,\u201d EURASIP Journal on Bioinformatics and Systems Biology, vol. 2012, no. 1, pp. 1-17, 2012. <\/li>\n\n\n\n
  54. J. Wang, C. Shuford, Q. Li, J. Song<\/span>, Y. Lin, Y. Sun, H. Chen, C. Williams<\/strong>, D. Muddiman, R. Sederoff, and V. Chiang. \u201cFunctional redundancy of the two 5-hydroxylases in monolignol biosynthesis of Populus trichocarpa: LC\u2013MS\/MS based protein quantification and metabolic flux analysis\u201d. Planta, vol. 236, no. 3, pp. 795-808, 2012.<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"

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