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ORCIDNarayanan Ramamurthi
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2020 – today
- 2023
[c8]Ayush Garg
, Shyam Sundar Das, Narayanan Ramamurthi:
AutoML in Drug Discovery: Side-Effects Prediction Using AutoGluon Framework and Its Applications in Drug Discovery. BCB 2023: 60:1- [c7]Ayush Garg, Shyam Sundar Das, Narayanan Ramamurthi:
Drug Target Prioritization Based on Ligand Binding Pocket and Disease-Target Association Scores. BCB 2023: 71:1 - [c6]Pritish Ranjan, Shyam Sundar Das, Narayanan Ramamurthi:
Investigation of Drug Repurposing Opportunities Using Side-effects data, Topic Modelling and Clustering Algorithms. BCB 2023: 79:1 - 2022
- [c5]Shyam Sundar Das, Geervani Koneti, Narayanan Ramamurthi:
Hybrid Modified League Championship Algorithm and its Applications in Compartmental Pharmacokinetic-Pharmacodynamic Data Analysis. BIBM 2022: 3248-3251 - [c4]Geervani Koneti, Mastan Vali Shaik, Shyam Sundar Das, Narayanan Ramamurthi:
Parallelized Population Based Exhaustive Replacement Method for Reproducible Features Selection and Its Applications in Drug Discovery. BIBM 2022: 3837-3839 - [c3]Geervani Koneti, Shyam Sundar Das, Jyotsna Bahl, Pritish Ranjan, Narayanan Ramamurthi:
Discovering the Knowledge in Unstructured Early Drug Development Data Using NLP and Advanced Analytics. BIBM 2022: 3840-3842
2010 – 2019
- 2017
- [c2]Geervani Koneti, Narayanan Ramamurthi:
"Parallelized variable selection and modeling based on prediction" algorithm on GPU for feature selection and ADMET model generation. BIBM 2017: 2268-2269 - [c1]Geervani Koneti, Dipayan Ghosh, Narayanan Ramamurthi:
Classification models for CaCo-2 permeability using chemical information and machine learning techniques: Scope and limitations. BIBM 2017: 2270-2271
Coauthor Index
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