Showing 5 of total 5 results (show query)
hiweller
colordistance:Distance Metrics for Image Color Similarity
Loads and displays images, selectively masks specified background colors, bins pixels by color using either data-dependent or automatically generated color bins, quantitatively measures color similarity among images using one of several distance metrics for comparing pixel color clusters, and clusters images by object color similarity. Uses CIELAB, RGB, or HSV color spaces. Originally written for use with organism coloration (reef fish color diversity, butterfly mimicry, etc), but easily applicable for any image set.
Maintained by Hannah Weller. Last updated 1 years ago.
37 stars 7.93 score 76 scripts 2 dependentshiweller
countcolors:Locates and Counts Pixels Within Color Range(s) in Images
Counts colors within color range(s) in images, and provides a masked version of the image with targeted pixels changed to a different color. Output includes the locations of the pixels in the images, and the proportion of the image within the target color range with optional background masking. Users can specify multiple color ranges for masking.
Maintained by Hannah Weller. Last updated 5 years ago.
10 stars 5.34 score 22 scripts
bioc
EMDomics:Earth Mover's Distance for Differential Analysis of Genomics Data
The EMDomics algorithm is used to perform a supervised multi-class analysis to measure the magnitude and statistical significance of observed continuous genomics data between groups. Usually the data will be gene expression values from array-based or sequence-based experiments, but data from other types of experiments can also be analyzed (e.g. copy number variation). Traditional methods like Significance Analysis of Microarrays (SAM) and Linear Models for Microarray Data (LIMMA) use significance tests based on summary statistics (mean and standard deviation) of the distributions. This approach lacks power to identify expression differences between groups that show high levels of intra-group heterogeneity. The Earth Mover's Distance (EMD) algorithm instead computes the "work" needed to transform one distribution into another, thus providing a metric of the overall difference in shape between two distributions. Permutation of sample labels is used to generate q-values for the observed EMD scores. This package also incorporates the Komolgorov-Smirnov (K-S) test and the Cramer von Mises test (CVM), which are both common distribution comparison tests.
Maintained by Sadhika Malladi. Last updated 5 months ago.
softwaredifferentialexpressiongeneexpressionmicroarray
4.23 score 17 scripts
cran
PUPMCR:Image-Based Identification of Color Based on Rayner (1970) Terminology and Known Fungal Pigments
Image-based color matching using the "Mycological Colour Chart" by Rayner (1970, ISBN:9780851980263) and its associated fungal pigments. This package will assist mycologists in identifying color during morphological analysis.
Maintained by Chester Deocaris. Last updated 1 years ago.
1.00 score
s6sebusc
sad:Verify the Scale, Anisotropy and Direction of Weather Forecasts
Implementation of the wavelet-based spatial verification method of Buschow and Friederichs "SAD: Verifying the Scale, Anisotropy and Direction of precipitation forecasts" (2020, submitted to QJRMS). Forecasts and Observations are transformed by a decimated or redundant dual-tree complex wavelet transform to analyze the spatial scale, degree of anisotropy and preferred direction in each field. These structural attributes are compared by a series of scores. An experimental algorithm for the correction of these errors is included as well.
Maintained by Sebastian Buschow. Last updated 4 years ago.
1.00 score