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@CamaraLab

Cámara Lab

The Cámara lab focuses on the development and application of innovative computational approaches to the study of cellular heterogeneity and its role in disease.

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  1. scTDA scTDA Public

    An object oriented python library for topological data analysis of high-throughput single-cell RNA-seq data

    Python 52 21

  2. STvEA STvEA Public

    Spatially-resolved Transcriptomics via Epitope Anchoring

    R 19 4

  3. CAJAL CAJAL Public

    A Python package using Gromov-Wasserstein distance to compare cell shapes

    C 18 6

  4. ConDecon ConDecon Public

    R package: ConDecon is a clustering-independent deconvolution method for estimating cell abundances in bulk tissues using single-cell RNA-seq data.

    R 13 3

  5. RayleighSelection RayleighSelection Public

    An R package for feature selection in topological spaces.

    R 11 3

  6. TDA-TCGA TDA-TCGA Public

    R package for the identification of cancer-associated mutated genes using gene expression and mutation data.

    R 10 6

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