Author

Rudraksh Tuwani

Indraprastha Institute of Information Technology Delhi

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Ganesh BagleriD· 3 shared Jagriti Mukherjee· 2 shared N K Rakhi· 2 shared Neelansh Garg· 1 shared Somin Wadhwa· 1 shared

Activity by Year

2018-2019 · peak 2/yr

Co-Author Collaboration Network

5 top collaborators · 7 mutual co-author links

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3 shared papersBioinformatics

Ganesh BaglerORCID

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3 papers

Recent·Most cited

BitterSweet: Building machine learning models for predicting the bitter and sweet taste of small molecules

Rudraksh Tuwani, Somin Wadhwa, Ganesh Bagler

BitterSweet develops machine learning models to predict bitter and sweet taste of small molecules using curated datasets and molecular descriptors.

Scientific Reports · May 9, 2019Peer-reviewedBioinformatics

Data-driven analysis of biomedical literature suggests broad-spectrum benevolence of culinary herbs and spices

N K Rakhi, Rudraksh Tuwani, Jagriti Mukherjee, Ganesh Bagler

This study analyzes biomedical literature to assess the health impacts of culinary herbs and spices, finding broad therapeutic benefits across diseases with limited adverse effects.

PLoS ONE · May 29, 2018Peer-reviewedBioinformatics

SpiceRx: an integrated resource for the health impacts of culinary spices and herbs

N K Rakhi, Rudraksh Tuwani, Neelansh Garg, Jagriti Mukherjee, Ganesh Bagler

SpiceRx compiles health impacts of culinary spices and herbs by integrating phytochemical and disease associations from biomedical literature.

bioRxiv · Feb 28, 2018 · PreprintBioinformatics