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Uncovering transcriptional interactions via an adaptive fuzzy logic approach.

• Authors : Chuang CL; Institute of Biomedical Engineering, National Taiwan University, Taipei, Taiwan.; Hung K

Subjects: Fuzzy Logic* ; Gene Regulatory Networks*; Computational Biology/Computational Biology/Computational Biology/*methods

• Source: BMC bioinformatics [BMC Bioinformatics] 2009 Dec 06; Vol. 10, pp. 400. Date of Electronic Publication: 2009 Dec 06.Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2105

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LogicNet: probabilistic continuous logics in reconstructing gene regulatory networks.

• Authors : Malekpour SA; School of Biological Sciences, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran. .; Alizad-Rahvar AR

Subjects: Algorithms* ; Fuzzy Logic* ; Gene Regulatory Networks*

• Source: BMC bioinformatics [BMC Bioinformatics] 2020 Jul 20; Vol. 21 (1), pp. 318. Date of Electronic Publication: 2020 Jul Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2105

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Data integration by fuzzy similarity-based hierarchical clustering.

• Authors : Ciaramella A; Dipartimento di Scienze e Tecnologie, Università degli Studi di Napoli 'Parthenope', Centro Direzionale, C4 Island, Naples, 80143, Italy. .; Nardone D

Subjects: Data Analysis* ; Fuzzy Logic*; Algorithms

• Source: BMC bioinformatics [BMC Bioinformatics] 2020 Aug 21; Vol. 21 (Suppl 10), pp. 350. Date of Electronic Publication: 2020Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2105

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Initial state perturbations as a validation method for data-driven fuzzy models of cellular networks.

• Authors : Magdevska, Lidija^1,2 ; Mraz, Miha¹ ; Zimic, Nikolaj¹

• Source: BMC Bioinformatics. 9/21/2018, Vol. 19 Issue 1, p1-7. 7p. 3 Charts, 1 Graph.

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Challenges in proteogenomics: a comparison of analysis methods with the case study of the DREAM proteogenomics sub-challenge.

• Authors : Eicher, Tara¹ (AUTHOR); Patt, Andrew² (AUTHOR); Kautto, Esko² (AUTHOR)

• Source: BMC Bioinformatics. 12/20/2019 Supplement 24, Vol. 20, p1-16. 16p. 1 Diagram, 10 Charts, 8 Graphs.

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Detecting gene-gene interactions for complex quantitative traits using generalized fuzzy classification.

• Authors : Zhou X; College of Mathematics and Computer Science, Fuzhou University, Fuzhou, Fujian, China. .; Chan KCC

Subjects: Epistasis, Genetic* ; Fuzzy Logic* ; Phenotype*

• Source: BMC bioinformatics [BMC Bioinformatics] 2018 Sep 18; Vol. 19 (1), pp. 329. Date of Electronic Publication: 2018 Sep Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2105

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GFS: fuzzy preprocessing for effective gene expression analysis.

• Authors : Belorkar, Abha¹ ; Limsoon Wong¹

• Source: BMC Bioinformatics. 2016 Suppl 17, Vol. 17, p169-184. 16p. 7 Charts, 10 Graphs.

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Assessment of predictive models for chlorophyll-a concentration of a tropical lake.

• Authors : Malek, Sorayya¹ ; Ahmad, Sharifah Mumtazah Syed²; Singh, Sarinder Kaur Kashmir¹

• Source: BMC Bioinformatics. 2011 Supplement 13, Vol. 12 Issue Suppl 13, p1-11. 11p. 1 Diagram, 3 Charts, 4 Graphs, 1 Map.

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Linear fuzzy gene network models obtained from microarray data by exhaustive search.

• Authors : Sokhansanj, Bahrad A.^1,2 ; Fitch, J. Patrick³ ; Quong, Judy N.^1,4

• Source: BMC Bioinformatics. 2004, Vol. 5, p108-12. 12p. 3 Diagrams, 3 Charts, 2 Graphs.

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Uncovering transcriptional interactions via an adaptive fuzzy logic approach

• Authors : Grace S. Shieh; Cheng-Long Chuang; Chung-Ming Chen

Subjects: Gene regulatory network; Genomics; Computational biology

• Source: BMC BioinformaticsBMC Bioinformatics, Vol 10, Iss 1, p 400 (2009)

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