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Results for "deep"

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• • Jit@jit.aber

  

  Janggu - Deep learning for Genomics

  Janggu is a python package that facilitates deep learning in the context of genomics. The package is freely available under a GPL-3.0 license. Detail tutorial at https://janggu.readthedocs.io/en/latest/ USE cases https://github.com/wkopp/janggu_usecases

  Tags: Janggu, Deep, learning, Genomics

  1133 days ago

• • BioStar@biostar

  

  #Programming exercises for the Stanford Unsupervised Feature Learning and #Deep #Learning #Tutorial http://ufldl.stanford.edu/tutorial https://github.com/amaas/stanford_dl_ex

  Tags: Programming, Deep, Learning, Tutorial

  1992 days ago

• • Jit@jit.aber

  

  Explore the DNA with deep learning ! https://blog.floydhub.com/exploring-dna-with-deep-learning/ #Learn #DNA #Deep #Learning #AI #Machine

  Tags: Learn, DNA, Deep, Learning, AI, Machine

  1554 days ago

• • Jit@jit.aber

  

  DAVI: Deep learning-based tool for alignment and single nucleotide variant identification

  DAVI consists of models for both global and local alignment and for variant calling. We have evaluated the performance of DAVI against existing state-of-the-art tool sets and found that its accuracy and performance is comparable to existing tools used for bench-marking. We further demonstrate tha...

  Tags: DAVI, deep, alignment, variant, identification, tool, snp

  1140 days ago

• • Jit@jit.aber

  

  DeepVariant : an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.

  DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data. DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data. DeepVariant relies on ...

  Tags: DeepVariant, analysis, pipeline, deep, neural, network, genetic, variants, next-generation, DNA, sequencing, data

  1556 days ago

• • Rahul Nayak@rahul

  

  Tiara: deep learning-based classification system for eukaryotic sequences

  With a large number of metagenomic datasets becoming available, eukaryotic metagenomics emerged as a new challenge. The proper classification of eukaryotic nuclear and organellar genomes is an essential step toward a better understanding of eukaryotic diversity.

  Tags: Tiara, deep, learning-based, classification, system, eukaryotic, sequences

  777 days ago

• • Neelam Jha@neelam

  

  Ten quick tips for deep learning in biology

  By taking a comprehensive and careful approach to deep learning based on critical thinking about research questions, planning to maintain rigor, and discerning how work might have far-reaching consequences with ethical dimensions, the life science community can advance reproducible, interpretable...

  Tags: Ten, quick, tips, deep, learning, biology

  766 days ago