Ananda Mondal

Ananda Mondal

Florida International University

H-index: 11

North America-United States

About Ananda Mondal

Ananda Mondal, With an exceptional h-index of 11 and a recent h-index of 9 (since 2020), a distinguished researcher at Florida International University, specializes in the field of Machine Learning, Data Mining, Bioinformatics, Cancer Genomics, Epigenetics.

His recent articles reflect a diverse array of research interests and contributions to the field:

MOGAT: A Multi-Omics Integration Framework Using Graph Attention Networks for Cancer Subtype Prediction

Interpreting Graph Neural Networks with In-Distributed Proxies

22nd IEEE International Workshop on High Performance Computational Biology (HiCOMB 2023)

Epitopedia: identifying molecular mimicry between pathogens and known immune epitopes

MOGAT: An Improved Multi-Omics Integration Framework Using Graph Attention Networks

Evaluating SHAP’s Robustness in Precision Medicine: Effect of Filtering and Normalization

Quantifying Intratumor Heterogeneity by Key Genes Selected using Concrete Autoencoder

Deep learning algorithms to classify Fitzpatrick skin types for smartphone-based NIRS imaging device

Ananda Mondal Information

University

Position

Computing and Information Sciences

Citations(all)

361

Citations(since 2020)

291

Cited By

155

hIndex(all)

11

hIndex(since 2020)

9

i10Index(all)

12

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Ananda Mondal Skills & Research Interests

Machine Learning

Data Mining

Bioinformatics

Cancer Genomics

Epigenetics

Top articles of Ananda Mondal

MOGAT: A Multi-Omics Integration Framework Using Graph Attention Networks for Cancer Subtype Prediction

International Journal of Molecular Sciences

2024/2/28

Interpreting Graph Neural Networks with In-Distributed Proxies

The Second Workshop on Trustworthy Learning on Graphs

2024/5

MOGAT: An Improved Multi-Omics Integration Framework Using Graph Attention Networks

bioRxiv

2023

Evaluating SHAP’s Robustness in Precision Medicine: Effect of Filtering and Normalization

2023/12/5

Quantifying Intratumor Heterogeneity by Key Genes Selected using Concrete Autoencoder

2023/12/4

Deep learning algorithms to classify Fitzpatrick skin types for smartphone-based NIRS imaging device

2023/6/15

Subject skin tone classification with implications in wound imaging using deep learning

2022/12/14

An autoencoder based bioinformatics framework for predicting prognosis of breast cancer patients

2022/12/6

Explainable machine learning to identify patient-specific biomarkers for lung cancer

2022/12/6

Machine learning algorithms to classify Fitzpatrick skin types during tissue oxygenation mapping

2022/4/24

EMoMiS: A pipeline for epitope-based molecular mimicry search in protein structures with applications to SARS-CoV-2

BioRxiv

2022/2/7

Skin tone benchmark dataset for diabetic foot ulcers and machine learning to discover the salient features

International Conference on Image Processing, Computer Vision, & Pattern Recognition

2022

Multi-run concrete autoencoder to identify prognostic lncRNAs for 12 cancers

International journal of molecular sciences

2021/11/3

Deep learning to discover genomic signatures for racial disparity in lung cancer

2020/12/16

Pan-cancer feature selection and classification reveals important long non-coding RNAs

2020/12/16

Stage-Specific Co-expression Network Analysis for Cancer Biomarker Discovery

2020/12/16

See List of Professors in Ananda Mondal University(Florida International University)