gaussian radial basis function (rbf)-based svr model Search Results


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Gaussian inc dft calculations (b3lyp/6-31g(d,p)) with the gaussian 16 revision c01 program
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CLC Bio clc genomics workbench
Global changes in the transcriptome profiles in Camelina transgenic lines and wild-type developing seeds. a The number of DEGs and the regulation in DGAT1 and GPD1 lines relative to that in WT is summarized. b Principal component analysis (PCA) indicates the variability of RNA-Seq datasets between WT and transgenic lines in the indicated time points after flowering, and c Venn diagram showing the overlapped relationships between DEGs in DGAT1 and GPD1 lines as compared to WT data. DEGs, differentially expressed genes, WT-15, GPD1–15, and DGAT1–15 indicate the wild-type and transgenic lines data of developing seeds harvested at 10–15 DAF, whereas WT-21, GPD1–21, and DGAT1–21 indicate the wild-type and transgenic lines data of developing seeds harvested at 16–21 DAF. <t>Gaussian</t> and EdgeR indicate the two pipelines analysis platforms used to determine the DEGs. DAF, days after flowering. WT, wild-type; GPD1, lines overexpressing ScGPD1 gene; and DGAT1, lines overexpressing AtDGAT1 gene
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OVITO GmbH projection based on the gaussian density method
Global changes in the transcriptome profiles in Camelina transgenic lines and wild-type developing seeds. a The number of DEGs and the regulation in DGAT1 and GPD1 lines relative to that in WT is summarized. b Principal component analysis (PCA) indicates the variability of RNA-Seq datasets between WT and transgenic lines in the indicated time points after flowering, and c Venn diagram showing the overlapped relationships between DEGs in DGAT1 and GPD1 lines as compared to WT data. DEGs, differentially expressed genes, WT-15, GPD1–15, and DGAT1–15 indicate the wild-type and transgenic lines data of developing seeds harvested at 10–15 DAF, whereas WT-21, GPD1–21, and DGAT1–21 indicate the wild-type and transgenic lines data of developing seeds harvested at 16–21 DAF. <t>Gaussian</t> and EdgeR indicate the two pipelines analysis platforms used to determine the DEGs. DAF, days after flowering. WT, wild-type; GPD1, lines overexpressing ScGPD1 gene; and DGAT1, lines overexpressing AtDGAT1 gene
Projection Based On The Gaussian Density Method, supplied by OVITO GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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STATA Corporation adaptive gaussian quadrature
Global changes in the transcriptome profiles in Camelina transgenic lines and wild-type developing seeds. a The number of DEGs and the regulation in DGAT1 and GPD1 lines relative to that in WT is summarized. b Principal component analysis (PCA) indicates the variability of RNA-Seq datasets between WT and transgenic lines in the indicated time points after flowering, and c Venn diagram showing the overlapped relationships between DEGs in DGAT1 and GPD1 lines as compared to WT data. DEGs, differentially expressed genes, WT-15, GPD1–15, and DGAT1–15 indicate the wild-type and transgenic lines data of developing seeds harvested at 10–15 DAF, whereas WT-21, GPD1–21, and DGAT1–21 indicate the wild-type and transgenic lines data of developing seeds harvested at 16–21 DAF. <t>Gaussian</t> and EdgeR indicate the two pipelines analysis platforms used to determine the DEGs. DAF, days after flowering. WT, wild-type; GPD1, lines overexpressing ScGPD1 gene; and DGAT1, lines overexpressing AtDGAT1 gene
Adaptive Gaussian Quadrature, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Gaussian inc dft optimization-based alignment
Statistical parameters of the CoMFA and CoMSIA models derived from three alignment methods.
Dft Optimization Based Alignment, supplied by Gaussian inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


Global changes in the transcriptome profiles in Camelina transgenic lines and wild-type developing seeds. a The number of DEGs and the regulation in DGAT1 and GPD1 lines relative to that in WT is summarized. b Principal component analysis (PCA) indicates the variability of RNA-Seq datasets between WT and transgenic lines in the indicated time points after flowering, and c Venn diagram showing the overlapped relationships between DEGs in DGAT1 and GPD1 lines as compared to WT data. DEGs, differentially expressed genes, WT-15, GPD1–15, and DGAT1–15 indicate the wild-type and transgenic lines data of developing seeds harvested at 10–15 DAF, whereas WT-21, GPD1–21, and DGAT1–21 indicate the wild-type and transgenic lines data of developing seeds harvested at 16–21 DAF. Gaussian and EdgeR indicate the two pipelines analysis platforms used to determine the DEGs. DAF, days after flowering. WT, wild-type; GPD1, lines overexpressing ScGPD1 gene; and DGAT1, lines overexpressing AtDGAT1 gene

Journal: Biotechnology for Biofuels

Article Title: Comparative transcriptome and metabolome analysis suggests bottlenecks that limit seed and oil yields in transgenic Camelina sativa expressing diacylglycerol acyltransferase 1 and glycerol-3-phosphate dehydrogenase

doi: 10.1186/s13068-018-1326-2

Figure Lengend Snippet: Global changes in the transcriptome profiles in Camelina transgenic lines and wild-type developing seeds. a The number of DEGs and the regulation in DGAT1 and GPD1 lines relative to that in WT is summarized. b Principal component analysis (PCA) indicates the variability of RNA-Seq datasets between WT and transgenic lines in the indicated time points after flowering, and c Venn diagram showing the overlapped relationships between DEGs in DGAT1 and GPD1 lines as compared to WT data. DEGs, differentially expressed genes, WT-15, GPD1–15, and DGAT1–15 indicate the wild-type and transgenic lines data of developing seeds harvested at 10–15 DAF, whereas WT-21, GPD1–21, and DGAT1–21 indicate the wild-type and transgenic lines data of developing seeds harvested at 16–21 DAF. Gaussian and EdgeR indicate the two pipelines analysis platforms used to determine the DEGs. DAF, days after flowering. WT, wild-type; GPD1, lines overexpressing ScGPD1 gene; and DGAT1, lines overexpressing AtDGAT1 gene

Article Snippet: Statistical analysis based on Gaussian tests (CLC Genomics Workbench, http://www.clcbio.com ) and EdgeR (MultiExperiment Viewer, MeV, http://www.tm4.org ) pipelines was performed, and the two-sided P value and false discovery rate (FDR) values were used to estimate the significance of the differences.

Techniques: Transgenic Assay, RNA Sequencing

Statistical parameters of the CoMFA and CoMSIA models derived from three alignment methods.

Journal: Molecules

Article Title: Identification of the Structural Features of Guanine Derivatives as MGMT Inhibitors Using 3D-QSAR Modeling Combined with Molecular Docking

doi: 10.3390/molecules21070823

Figure Lengend Snippet: Statistical parameters of the CoMFA and CoMSIA models derived from three alignment methods.

Article Snippet: The resulting alignment conformations are shown in B. Secondly, a DFT optimization-based alignment (superimposition II) was employed by performing geometry optimization on all molecules using the density functional theory (DFT) method with the B3LYP/6-31G+(d,p) basis set (GAUSSIAN-09 program package, Gaussian Inc., Wallingford, CT, USA) [ ].

Techniques: Derivative Assay