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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
portfolio
publications
Machine learning approach in predicting GlutoPeak test parameters from image data with AutoML and transfer learning
Published in Heliyon, 2023
This study introduces a novel machine learning methodology for predicting GlutoPeak test parameters from image data, leveraging AutoKeras and transfer learning.
DrugAgent: Explainable Drug Repurposing Agent with Large Language Model-based Reasoning
Published in arxiv, 2024
A multi-agent system for interpretable drug target interaction
scVGAE: A Novel Approach using ZINB-Based Variational Graph Autoencoder for Single-Cell RNA-Seq Imputation
Published in Arxiv, 2024
This study introduces scVGAE, an innovative approach integrating GCN into a variational autoencoder framework while utilizing a ZINB loss function.
BiGCN: Leveraging Cell and Gene Similarities for Single-cell Transcriptome Imputation with Bi-Graph Convolutional Networks
Published in bioRxiv, 2024
In this study, we introduce a Bi-Graph Convolutional Network (BiGCN), a deep learning method that leverages both cell similarities and gene co-expression to capture cell-type-specific gene co-expression patterns for imputing scRNA-seq data.
drGAT: Attention-Guided Gene Assessment of Drug Response Utilizing a Drug-Cell-Gene Heterogeneous Network
Published in arxiv, 2024
drGAT, a graph deep learning model, leverages a heterogeneous graph composed of relationships between proteins, cell lines, and drugs.
talks
Analysis of training intensity using the Apple Watch
Published:
Presenting about analysing the training intensity using heart beat from apple watch
Comparison of fluxome simulation and metabolome analysis using murine glioblastoma initiating cells
Published:
Presenting about fluxome simulation using flux balance analysis
drGAT: Attention-Guided Gene Assessment of Drug Response Utilizing a Drug-Cell-Gene Heterogeneous Network
Published:
Presenting about drug response prediction with gene importance
teaching
CSCI 5481 - Computational Techniques for Genomics.
Graduate course, University of Minnesota, Computer Science, 2021
Having an office hour, and grading.
CSCI 5461 Functional Genomics, Systems Biology, and Bioinformatics
Graduate course, University of Minnesota, Computer Science, 2022
Having an office hour, and grading.
CSCI 5521 Machine Learning Fundamentals
Graduate course, University of Minnesota, Computer Science, 2022
Having an office hour, and grading.
CSCI 5521 Machine Learning Fundamentals
Graduate course, University of Minnesota, Computer Science, 2023
Having an office hour, and grading.
CSCI 5521 Machine Learning Fundamentals
Graduate course, University of Minnesota, Computer Science, 2023
Having an office hour, and grading.