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Papers: 10.1186/s12859-021-04093-9

https://doi.org/10.1186/s12859-021-04093-9

Machine learning predicts nucleosome binding modes of transcription factors

Cited by: 1
Author(s): K C Kishan, Sridevi K. Subramanya, Rui Li, Feng Cui
Published: over 4 years ago

Software Mentions 9

cran: argparse
Command Line Optional and Positional Argument Parser
Papers that mentioned: 20
Very Likely Science (95)
pypi: argparse
Python command-line parsing library
Papers that mentioned: 20
Very Likely Science (65)
pypi: gensim
Python framework for fast Vector Space Modelling
Papers that mentioned: 61
Very Likely Science (100)
pypi: numpy
Fundamental package for array computing in Python
Papers that mentioned: 832
Very Likely Science (100)
pypi: pandas
Powerful data structures for data analysis, time series, and statistics
Papers that mentioned: 640
Very Likely Science (100)
pypi: pyfasta
fast, memory-efficient, pythonic (and command-line) access to fasta sequence files
Papers that mentioned: 9
Very Likely Science (100)
pypi: scikit-learn
A set of python modules for machine learning and data mining
Papers that mentioned: 2,431
Very Likely Science (100)
pypi: texttable
module to create simple ASCII tables
Papers that mentioned: 1
Very Likely Science (65)
pypi: tqdm
Fast, Extensible Progress Meter
Papers that mentioned: 6
Very Likely Science (65)