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iRecSpot-EF: Effective Sequence Based Features for Recombination Hotspot Prediction

Installation Process :

Required Python Packages:

Install: python (version >= 3.5)
Install: sklearn (version >= 0.19.0)
Install: numpy (version >= 1.13.0)
Install: pandas (version >= 0.21.0)
Install: matplotlib (version >= 2.1.0)
Install: pickle

pip install < package name >
example: pip install sklearn

or
We can download from anaconda cloud.

Code Description :

  • Features Extraction :

    user@machine:~$ python extractionFeatures.py

    Note #1: It will provide a dataset named fullDataset.csv from FASTA sequences. (fullDataset.csv)

    Note #2: readXY.py ( This file will fetch data from hotSpot.fasta and coldSpot.fasta files. )

  • Features Selection :

    user@machine:~$ python selectionFeatures.py

    Note #1: It will provide a dataset named selectedDataset.csv from fullDataset.csv.

  • Training Model :

    user@machine:~$ python modelDump

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