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polar heat map with dendrogram app  (OriginLab corp)


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    OriginLab corp polar heat map with dendrogram app
    Polar Heat Map With Dendrogram App, supplied by OriginLab corp, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/dendrogram/polar+heat+map+with+dendrogram+app/pm40498170-70-57-59
    Average 90 stars, based on 1 article reviews
    polar heat map with dendrogram app - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    other:

    Article Title: Molecular Regulation of Antioxidant Defense and Metabolic Reprogramming in Xiaozhan Rice Genotypes: Differential Roles of Salicylic Acid and Melatonin Under Salt Stress
    Article Snippet: The weight coefficient W j for each indicator was calculated as follows Equation (7): (7) W j = V j ∑ j = 1 n V j The comprehensive evaluation value ( D ) was determined using Equations (8) and (9): (8) D = ∑ j = 1 n μ X j × W j (9) Δ D = D C K - D N a C l Higher Δ D values indicated weaker salt tolerance of the evaluated varieties, and the two genotypes with the highest and weakest salt tolerance were selected for correlation analysis and cluster visualization using the ‘correlation plot’ and ‘heat map with dendrogram’ applications in Origin 2024 (OriginLab Corporation, Northampton, MA, USA).

    Article Title: Transcriptome response of the white-rot fungus Trametes versicolor to hybrid poplar exhibiting unique lignin chemistry.
    Article Snippet: Heatmaps were created in OriginPro Version 2022 (OriginLab Corporation) with the Heat Map and Dendrogram plugin from OriginLab Technical Support using Euclidian distance and average clustering.

    Article Title: Mapping Nanocellulose- and Alginate-Based Photosynthetic Cell Factory Scaffolds: Interlinking Porosity, Wet Strength, and Gas Exchange.
    Article Snippet: The clusters were formed by minimizing the sums of squared Euclidean distances between the sample scores and the cluster centroids using Ward’s method.53 The final number of clusters was determined by identifying increasing cluster distances from the resulting dendrogram.43 Origin 2021b (OriginLab Corporation, Northampton, MA, USA) was used to calculate and plot the outputs from multivariate data analyses.

    Article Title: Temporal and spatial variation of nutrient stoichiometry in coastal salt marshes dominated by Spartina alterniflora in eastern China: comprehensive effects of vegetation and tidal flooding.
    Article Snippet: To better understand carbon, nitrogen, and phosphorus dynamics within small-scale gradients of tidal and vegetation interaction, 13 study sites were established along three transects (near, far, and along a tidal creek) within a salt marsh in northern Jiangsu, China, and soil samples were collected during both the growing and non-growing season; the soil organic carbon (SOC), total nitrogen (TN), and total phosphorus (TP) contents were measured.. Spatiotemporal variation in SOC, TN, and TP in coastal salt marsh soils was influenced not only by the physical and chemical properties of the elements themselves, but also by the distribution of local vegetation and repetitive tidal action.. Complex interactions between the vegetation and tidal flooding determined spatiotemporal patterns in SOC, TN, and TP.

    Article Title: High responsiveness to nitrogen supply in modern maize cultivars is contributed to gibberellin-dependent leaf elongation
    Article Snippet: Modern maize cultivars have high nitrogen responsiveness of grain yield.. However, the underlying physiological mechanism is unclear.. In the present study, from 17 cultivars released from 1950 s to 2010 s in China, three maize cultivars released in 1950 s (BMY), 1970 s (ZD2), and 1990 s (ZD958) were selected according to their growth responses to nitrogen supply.

    Transformation Assay:

    Article Title: Extracellular Vesicles as Next-Generation Biomarkers in Lung Cancer Patients: A Case Report on Adenocarcinoma and Squamous Cell Carcinoma
    Article Snippet: .. The log 2 -transformed circular heatmap with a dendrogram with squared Euclidean distance was performed using OriginPro, Version 2022b (OriginLab Corporation, Northampton, MA, USA). ..

    High Content Screening:

    Article Title: Distribution of potentially toxic elements in sediments of the municipal river channel (Balu), Dhaka, Bangladesh: Ecological and health risks assessment.
    Article Snippet: The concern of potential toxic elements (PTEs) contamination in the river ecosystem is growing due to anthropological activity.. The contents of seven PTEs in sediments from the Balu River channel were analyzed using atomic absorption spectroscopy (AAS) and an environmental risk model. Several PTEs were found in the sediment at high levels, including zinc (Zn), copper (Cu), arsenic (As), lead (Pb), cadmium (Cd), nickel (Ni), and mercury (Hg), that might pose a risk to human and ecological health.. The highest mean concentration of PTEs in sediment followed in decreasing order Zn (1365.21 mg/kg) > Cu (149.34 mg/kg) > Pb (46.34 mg/kg) > Ni (34.78 mg/kg) > As (6.31 mg/kg) > Cd (2.34 mg/kg) > Hg (1.03 mg/kg).



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    Image Search Results


    Interaction map among single-nucleotide polymorphisms (SNPs) of genes on the risk of Acute lymphoblastic leukemia (ALL). Hierarchical clustering dendrogram (a) and Kamada-Kawai (b).

    Journal: Global Medical Genetics

    Article Title: Genetic susceptibility of IKZF1 , ARID5B , and CEBPE polymorphisms to childhood acute lymphoblastic leukemia in Chinese populations: a case-control study

    doi: 10.1016/j.gmg.2025.100084

    Figure Lengend Snippet: Interaction map among single-nucleotide polymorphisms (SNPs) of genes on the risk of Acute lymphoblastic leukemia (ALL). Hierarchical clustering dendrogram (a) and Kamada-Kawai (b).

    Article Snippet: Hierarchical clustering dendrogram (a) and Kamada-Kawai (b).

    Techniques:

    Example dendrogram for frequency band definition using hierarchical clustering Hierarchical clustering dendrogram derived from PFC ECoG signals. Frequency bins (y-axis) are grouped by the similarity of their temporal power profiles, measured by correlation distance (x-axis; smaller distance indicates higher similarity). Branch colors are visual aids automatically assigned by MATLAB. Brackets and labels illustrate an example of manually defined frequency bands (e.g., Theta, Alpha, Beta sub-bands, Gamma) resulting from user interpretation of the clustering structure. See also .

    Journal: STAR Protocols

    Article Title: Protocol for assisting frequency band definition and decoding neural dynamics using hierarchical clustering and multivariate pattern analysis

    doi: 10.1016/j.xpro.2025.103870

    Figure Lengend Snippet: Example dendrogram for frequency band definition using hierarchical clustering Hierarchical clustering dendrogram derived from PFC ECoG signals. Frequency bins (y-axis) are grouped by the similarity of their temporal power profiles, measured by correlation distance (x-axis; smaller distance indicates higher similarity). Branch colors are visual aids automatically assigned by MATLAB. Brackets and labels illustrate an example of manually defined frequency bands (e.g., Theta, Alpha, Beta sub-bands, Gamma) resulting from user interpretation of the clustering structure. See also .

    Article Snippet: Note: The dendrogram function in MATLAB automatically assigns colors to different branches based on the cluster hierarchy and the specified `ColorThreshold` parameter (default 0.5, adjustable by the user).

    Techniques: Derivative Assay

    Visualization of conventional and hierarchically derived frequency band boundaries on the average TFR (A) The average TFR of normalized ECoG power in the PFC is shown in both panels (color indicates normalized power). Overlaid horizontal dashed lines illustrate different frequency band definitions: the left panel depicts conventional band boundaries, while the right panel shows example boundaries derived from hierarchical clustering. (B) The hierarchical clustering dendrogram (same as ) is shown alongside for reference to the bands used in panel (A), right.

    Journal: STAR Protocols

    Article Title: Protocol for assisting frequency band definition and decoding neural dynamics using hierarchical clustering and multivariate pattern analysis

    doi: 10.1016/j.xpro.2025.103870

    Figure Lengend Snippet: Visualization of conventional and hierarchically derived frequency band boundaries on the average TFR (A) The average TFR of normalized ECoG power in the PFC is shown in both panels (color indicates normalized power). Overlaid horizontal dashed lines illustrate different frequency band definitions: the left panel depicts conventional band boundaries, while the right panel shows example boundaries derived from hierarchical clustering. (B) The hierarchical clustering dendrogram (same as ) is shown alongside for reference to the bands used in panel (A), right.

    Article Snippet: Note: The dendrogram function in MATLAB automatically assigns colors to different branches based on the cluster hierarchy and the specified `ColorThreshold` parameter (default 0.5, adjustable by the user).

    Techniques: Derivative Assay