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shixiangwang
sigminer:Extract, Analyze and Visualize Mutational Signatures for Genomic Variations
Genomic alterations including single nucleotide substitution, copy number alteration, etc. are the major force for cancer initialization and development. Due to the specificity of molecular lesions caused by genomic alterations, we can generate characteristic alteration spectra, called 'signature' (Wang, Shixiang, et al. (2021) <DOI:10.1371/journal.pgen.1009557> & Alexandrov, Ludmil B., et al. (2020) <DOI:10.1038/s41586-020-1943-3> & Steele Christopher D., et al. (2022) <DOI:10.1038/s41586-022-04738-6>). This package helps users to extract, analyze and visualize signatures from genomic alteration records, thus providing new insight into cancer study.
Maintained by Shixiang Wang. Last updated 5 months ago.
bayesian-nmfbioinformaticscancer-researchcnvcopynumber-signaturescosmic-signaturesdbseasy-to-useindelmutational-signaturesnmfnmf-extractionsbssignature-extractionsomatic-mutationssomatic-variantsvisualizationcpp
56.1 match 150 stars 9.48 score 123 scripts 2 dependentsshixiangwang
sigminer.prediction:Train and Predict Cancer Subtype with Keras Model based on Mutational Signatures
Mutational signatures represent mutational processes occured in cancer evolution, thus are stable and genetic resources for subtyping. This tool provides functions for training neutral network models to predict the subtype a sample belongs to based on 'keras' and 'sigminer' packages.
Maintained by Shixiang Wang. Last updated 3 years ago.
kerasmutational-signaturesprostate-cancersigminer
48.0 match 8 stars 2.60 score 2 scriptsigorrigolon
datazoom.amazonia:Simplify Access to Data from the Amazon Region
Functions to download and treat data regarding the Brazilian Amazon region from a variety of official sources.
Maintained by Igor Rigolon Veiga. Last updated 1 years ago.
6.8 match 4.29 score 15 scriptsshixiangwang
CNVMotif:Explore, Analyze and Visualize Catalogs and Patterns of Copy Number Variation in Cancer Genomics
Provides functionality for exploring, analyzing and visualizing the copy number variation (CNV) motifs in cancer genomics.
Maintained by Shixiang Wang. Last updated 3 years ago.
10.0 match 1 stars 1.70 score 3 scripts