ethnicity-analysis

There are 17 repositories under ethnicity-analysis topic.

  • facerec-bias-bfw

    visionjo/facerec-bias-bfw

    Source code and notebooks to reproduce experiments and benchmarks on Bias Faces in the Wild (BFW).

    Language:Jupyter Notebook447139

  • namsor/namsor-python-sdk2

    NamSor API v2 Python SDK - classify personal names accurately by gender, country of origin, or ethnicity.

    Language:Python35627

  • namsor/namsor-python-tools-v2

    NamSor Python command line tools, to append gender, origin, diaspora or us 'race'/ethnicity to a CSV file.

    Language:Python14435

  • cibiobcg/EthSEQ

    Ethnicity Annotation from Whole-Exome and Targeted Sequencing Data

    Language:R130810

  • namsor/namsor-r-sdk2

    NamSor API v2 R SDK - classify personal names accurately by gender, country of origin, or ethnicity.

    Language:R12532

  • mmrl-me/mmrl-metadata

    Experimental tagging schema for analysis of intersectionality, bias, and reception theories.

    Language:JavaScript8304

  • namsor/namsor-java-sdk2

    NamSor API v2 Java SDK - classify personal names accurately by gender, country of origin, or ethnicity.

    Language:Java4320

  • namsor/namsor-javascript-sdk2

    NamSor API v2 Java SDK - classify personal names accurately by gender, country of origin, or ethnicity.

    Language:JavaScript420

  • namsor/namsor-tools-v2

    NamSor command line tools, to append gender, origin, diaspora or us 'race'/ethnicity to a CSV file.

    Language:Java42244

  • anasserhussien/EthnicityRecognition-UTKFaces

    EthnicityPredictor-UTK is a PyTorch-based project that focuses on predicting ethnicities from facial images using state-of-the-art ResNet architectures. Leveraging the UTKfaces dataset, the model is trained to recognize diverse facial features and make accurate ethnicity predictions.

    Language:Python3200

  • marislab/create-pptc-pdx-oncoprints

    As part of an overall strategy for improving therapies for childhood cancers, the PPTC seeks to develop models for the types of tumors that will be encountered in early phase clinical testing by establishing patient derived xenografts (PDXs) from high-risk childhood cancers refractory to current standard of care treatments. Genomic profiling of these models is required to enable PPTC investigators to develop robust "responder hypotheses" when drug activity is observed. With funding provided by Alex's Lemonade Stand Foundation, we genomically characterize a major subset of 286 PDX models. We use whole exome sequencing, transcriptome sequencing, and SNPArray to characterize the tumor models. The focus on DNA and RNA sequencing data mirrors the current standard practice in most clinical diagnostics lab that use these technologies to detect the spectrum of targetable mutations, gene amplifications, and gene fusion events relevant to preclinical drug development.

    Language:R3502
  • rain

    umr1283/rain

    Reference-based Ancestry INference

    Language:R3140
  • PCA-Ethnicity-Determination-from-WGS-Data

    laura-budurlean/PCA-Ethnicity-Determination-from-WGS-Data

    A pipeline utilizing PCA on 1000 genomes and WGS data from your own samples to determine or validate ancestry of an individual.

    Language:Shell2100

  • InzamamAnwar/Learned-Features-are-better-for-Ethnicity-Classification

    Implementation for paper, "Learned Features are better for Ethnicity classification"

    Language:MATLAB1001

  • namsor/namsor-ruby-sdk2

    NamSor API v2 Ruby SDK - classify personal names accurately by gender, country of origin, or ethnicity.

    Language:Ruby1302

  • openheritage/open-plaques-diversity

    OpenPlaques diversity analysis

    Language:Jupyter Notebook04100
  • genetic-ancestry

    ahmedmoustafa/genetic-ancestry

    Genetic Ancestry

    Language:Jupyter Notebook10