Vaibhav Rajan

6PUBLICATIONS
9CO-AUTHORS
Context learningSemi- and unsupervised learningPharmacogenomicsPhylogeny and comparative analysisExercise physiology
Featured researcher

Get your video featured.

JoVEPublish with JoVE
Journal

Publications (6)

|Aug 05, 2022
Neural Collective Matrix Factorization for integrated analysis of heterogeneous biomedical data.

Ragunathan Mariappan, Aishwarya Jayagopal, Ho Zong Sien

|Jan 20, 2022
Patient Representation Learning From Heterogeneous Data Sources and Knowledge Graphs Using Deep Collective Matrix Factorization: Evaluation Study.

Sajit Kumar, Alicia Nanelia, Ragunathan Mariappan

|Oct 25, 2021
Adverse Drug Event Prediction Using Noisy Literature-Derived Knowledge Graphs: Algorithm Development and Validation.

Soham Dasgupta, Aishwarya Jayagopal, Abel Lim Jun Hong

|Nov 02, 2020
Maximum likelihood reconstruction of ancestral networks by integer linear programming.

Vaibhav Rajan, Ziqi Zhang, Carl Kingsford

|Jan 22, 2019
User Models for Personalized Physical Activity Interventions: Scoping Review.

Suparna Ghanvatkar, Atreyi Kankanhalli, Vaibhav Rajan

|Feb 24, 2018
A dual boundary classifier for predicting acute hypotensive episodes in critical care.

Sakyajit Bhattacharya, Vijay Huddar, Vaibhav Rajan

Pageof 1

Frequent Collaborators

2 joint publications

Ragunathan Mariappan

1 joint publications

Suparna Ghanvatkar

1 joint publications

Atreyi Kankanhalli

1 joint publications

Soham Dasgupta