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  1. DeepGS is a R package for predicting phenotypes from genotypes using deep learning techniques.

    R 16 9

  2. G2P is an integrated genomic selection (GS) package for predicting phenotypes from genotypes. It includes 15 GS algorithms and 13 evaluation measurements.

    R 4 4

  3. An integrated R toolkit for Plant Epitranscriptome Analysis

    R 3 6

  4. TAMF: A flexible framework for large-scale transcriptomic data analysis using matrix factorization

    R 1

  5. DeepEA: a Galaxy-based framework for exploration and large-scale analysis of epitranscriptome sequencing data

    R

  6. CAFU: A Galaxy framework for exploring unmapped RNA-Seq data

    Python 4

58 contributions in the last year

Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Mon Wed Fri
Activity overview
Contributed to cma2015/CAFU, cma2015/TAMF, cma2015/miRLocator and 5 other repositories
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Contribution activity

March 2019

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February 2019

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