Hrushikesh Bhosale
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View article: 36. Anderson Mandibular Osteoradionecrosis Speech and Swallow Tool (AMOSST): A Validated, Highly Predictive, Machine Learning-powered Predictor of Postoperative Outcomes
36. Anderson Mandibular Osteoradionecrosis Speech and Swallow Tool (AMOSST): A Validated, Highly Predictive, Machine Learning-powered Predictor of Postoperative Outcomes Open
View article: Enhancing random forest model prediction of gas holdup in internal draft airlift loop contactors with genetic algorithms tuning and interpretability
Enhancing random forest model prediction of gas holdup in internal draft airlift loop contactors with genetic algorithms tuning and interpretability Open
Gas holdup in an Internal Loop Airlift Contactor (ILAC) is one of the primary hydrodynamic features that governs the performance of the contactor. Prediction of gas holdup assumes importance in the design of airlift contactor. The key chal…
View article: Protein feature engineering framework for AMPylation site prediction
Protein feature engineering framework for AMPylation site prediction Open
View article: A Multi-class Machine Learning Framework to Predict Ampicillin-Sulbactam Resistance of Acinetobacter baumannii
A Multi-class Machine Learning Framework to Predict Ampicillin-Sulbactam Resistance of Acinetobacter baumannii Open
Acinetobacter baumannii is a serious pathogen responsible for many of the hospital-acquired infections. The emergence of multi-drug and pan-drug resistant strains of A. baumannii has been a growing concern. Ampicillin-sulbactam combination…
View article: Replication Data for: Support Vector Machine-based Prediction of Pore-forming Toxins (PFT) using Distributed Representation of Reduced Alphabets
Replication Data for: Support Vector Machine-based Prediction of Pore-forming Toxins (PFT) using Distributed Representation of Reduced Alphabets Open
Curated dataset used for developing sequence-based SVM classifier for predicting pore-forming toxins
View article: Liquid Liquid Phase Separation
Liquid Liquid Phase Separation Open
This Dataverse contains files and datasets pertaining to the work on predicting phase separating proteins based on sequence
View article: Predicting star formation properties of galaxies using deep learning
Predicting star formation properties of galaxies using deep learning Open
Understanding the star formation properties of galaxies as a function of cosmic epoch is a critical exercise in studies of galaxy evolution. Traditionally, stellar population synthesis (SPS) models have been used to obtain best-fitting par…