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Papers: 10.1371/journal.pcbi.1008605

https://doi.org/10.1371/journal.pcbi.1008605

Machine learning based CRISPR gRNA design for therapeutic exon skipping

Cited by: 5
Author(s): Wilson Louie, Max W. Shen, Zakir Tahiry, Sophia Zhang, Daniel Worstell, Christopher A. Cassa, Richard I. Sherwood, David K. Gifford
Published: over 5 years ago

Software Mentions 8

pypi: Azimuth
Machine Learning-Based Predictive Modelling of CRISPR/Cas9 guide efficiency
Papers that mentioned: 10
Very Likely Science (75)
pypi: biopython
Freely available tools for computational molecular biology.
Papers that mentioned: 114
Very Likely Science (100)
pypi: HAL
Powerful AI Framework
Papers that mentioned: 32
Very Likely Science (80)
pypi: lib
Autocode standard library Python bindings
Papers that mentioned: 26
Very Likely Science (80)
pypi: PACE
Data Quality of Experimental Data
Papers that mentioned: 13,779
Very Likely Science (90)
pypi: regex
Alternative regular expression module, to replace re.
Papers that mentioned: 18
Very Likely Science (90)
pypi: scikit-learn
A set of python modules for machine learning and data mining
Papers that mentioned: 2,431
Very Likely Science (100)
pypi: scipy
Fundamental algorithms for scientific computing in Python
Papers that mentioned: 1,071
Very Likely Science (100)