NetGenes: A database of essential genes predicted using features from interaction networks

Vimaladhasan Senthamizhan; Balaraman Ravindran; Karthik Raman

doi:10.1101/2020.12.17.423287

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NetGenes: A database of essential genes predicted using features from interaction networks

Vimaladhasan Senthamizhan, View ORCID ProfileBalaraman Ravindran, View ORCID ProfileKarthik Raman

doi: https://doi.org/10.1101/2020.12.17.423287

Vimaladhasan Senthamizhan

1Initiative for Biological Systems Engineering (IBSE), Indian Institute of Technology Madras, Chennai – 600 036, India

2Robert Bosch Center for Data Science and Artificial Intelligence (RBCDSAI), Indian Institute of Technology Madras, Chennai – 600 036, India

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Balaraman Ravindran

1Initiative for Biological Systems Engineering (IBSE), Indian Institute of Technology Madras, Chennai – 600 036, India

2Robert Bosch Center for Data Science and Artificial Intelligence (RBCDSAI), Indian Institute of Technology Madras, Chennai – 600 036, India

3Department of Computer Science and Engineering, Indian Institute of Technology Madras, Chennai – 600 036, India

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ORCID record for Balaraman Ravindran
For correspondence: kraman@iitm.ac.in ravi@cse.iitm.ac.in

Karthik Raman

1Initiative for Biological Systems Engineering (IBSE), Indian Institute of Technology Madras, Chennai – 600 036, India

2Robert Bosch Center for Data Science and Artificial Intelligence (RBCDSAI), Indian Institute of Technology Madras, Chennai – 600 036, India

4Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai – 600 036, India

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ORCID record for Karthik Raman
For correspondence: kraman@iitm.ac.in ravi@cse.iitm.ac.in

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Posted January 19, 2021.

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NetGenes: A database of essential genes predicted using features from interaction networks

Vimaladhasan Senthamizhan, Balaraman Ravindran, Karthik Raman

bioRxiv 2020.12.17.423287; doi: https://doi.org/10.1101/2020.12.17.423287

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NetGenes: A database of essential genes predicted using features from interaction networks

Vimaladhasan Senthamizhan, Balaraman Ravindran, Karthik Raman

bioRxiv 2020.12.17.423287; doi: https://doi.org/10.1101/2020.12.17.423287

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