M. Mondal Ananda

According to our database, M. Mondal Ananda authored at least 29 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Interpreting Graph Neural Networks with In-Distributed Proxies.

Zhuomin Chen, Jiaxing Zhang, Jingchao Ni, Xiaoting Li, Yuchen Bian, Md Mezbahul Islam, Ananda Mohan Mondal, Hua Wei, Dongsheng Luo

CoRR, 2024

Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks.

Zhuomin Chen, Jiaxing Zhang, Jingchao Ni, Xiaoting Li, Yuchen Bian, Md Mezbahul Islam, Ananda Mondal, Hua Wei, Dongsheng Luo

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Quantifying Intratumor Heterogeneity by Key Genes Selected Using Concrete Autoencoder.

Raihanul Bari Tanvir, Ricardo Ruiz, Samuel Ebert, Masrur Sobhan, Abdullah Al Mamun, Ananda Mohan Mondal

Proceedings of the Pattern Recognition and Machine Intelligence, 2023

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

Masrur Sobhan, Ananda Mohan Mondal

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Subject Skin Tone Classification with Implications in Wound Imaging using Deep Learning.

Masrur Sobhan, Daniela Leizaola, Anuradha Godavarty, Ananda Mohan Mondal

Proceedings of the International Conference on Computational Science and Computational Intelligence, 2022

An Autoencoder Based Bioinformatics Framework for Predicting Prognosis of Breast Cancer Patients.

Raihanul Bari Tanvir, Masrur Sobhan, Ananda Mohan Mondal

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Explainable Machine Learning to Identify Patient-specific Biomarkers for Lung Cancer.

Masrur Sobhan, Ananda Mohan Mondal

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2020

Computational identification of biomarker genes for lung cancer considering treatment and non-treatment studies.

Mona Maharjan, Raihanul Bari Tanvir, Kamal Chowdhury, Wenrui Duan, Ananda Mohan Mondal

BMC Bioinform., 2020

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

Raihanul Bari Tanvir, Ananda Mohan Mondal

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Deep Learning to Discover Genomic Signatures for Racial Disparity in Lung Cancer.

Masrur Sobhan, Abdullah Al Mamun, Raihanul Bari Tanvir, Mario Jacas Alfonso, Pablo Valle, Ananda Mohan Mondal

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Deep Learning to Discover Cancer Glycome Genes Signifying the Origins of Cancer.

Abdullah Al Mamun, Masrur Sobhan, Raihanul Bari Tanvir, Charles J. Dimitroff, Ananda Mohan Mondal

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Pan-cancer Feature Selection and Classification Reveals Important Long Non-coding RNAs.

Abdullah Al Mamun, Wenrui Duan, Ananda Mohan Mondal

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

Graph Theoretic and Pearson Correlation-Based Discovery of Network Biomarkers for Cancer.

Raihanul Bari Tanvir, Tasmia Aqila, Mona Maharjan, Abdullah Al Mamun, Ananda Mohan Mondal

Data, 2019

Texture-based Deep Learning for Effective Histopathological Cancer Image Classification.

Nelson Zange Tsaku, Sai Chandra Kosaraju, Tasmia Aqila, Mohammad Masum, Dae Hyun Song, Ananda Mohan Mondal, Hyun Min Koh, Mingon Kang

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Cancer Biomarker Discovery from Gene Co-expression Networks Using Community Detection Methods.

Raihanul Bari Tanvir, Ananda Mohan Mondal

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Feature Selection and Classification Reveal Key lncRNAs for Multiple Cancers.

Abdullah Al Mamun, Ananda Mohan Mondal

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Pseudotime Based Discovery of Breast Cancer Heterogeneity.

Tasmia Aqila, Abdullah Al Mamun, Ananda Mohan Mondal

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Community Based Cancer Biomarker Identification from Gene Co-expression Network.

Raihanul Bari Tanvir, Mona Maharjan, Ananda Mohan Mondal

Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

Long Non-coding RNA Based Cancer Classification using Deep Neural Networks.

Abdullah Al Mamun, Ananda Mohan Mondal

Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

Pseudotime Based Analysis of Cancer Dynamics.

Tasmia Aqila, Ananda Mohan Mondal

Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

2018

Graph Theoretic Concepts as the Building Blocks for Disease Initiation and Progression at Protein Network Level: Identification and Challenges.

Ananda Mohan Mondal, Cornelia Ada Schultz, Markea Sheppard, Jasmine Carson, Raihanul Bari Tanvir, Tasmia Aqila

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2015

Diffusion kernel to identify missing PPIs in protein network biomarker.

Dominic K. Bett, Ananda Mohan Mondal

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014

Network based prediction of protein localisation using diffusion Kernel.

Ananda Mondal, Jianjun Hu

Int. J. Data Min. Bioinform., 2014

STRING PPI Score to Characterize Protein Subnetwork Biomarkers for Human Diseases and Pathways.

Prayas Timalsina, Kevin Charles, Ananda Mohan Mondal

Proceedings of the 2014 IEEE International Conference on Bioinformatics and Bioengineering, 2014

2013

Scored Protein-Protein Interaction to Predict Subcellular Localizations for Yeast Using Diffusion Kernel.

Ananda Mohan Mondal, Jianjun Hu

Proceedings of the Pattern Recognition and Machine Intelligence, 2013

2012

Minimalist ensemble algorithms for genome-wide protein localization prediction.

Jhih-rong Lin, Ananda Mondal, Rong Liu, Jianjun Hu

BMC Bioinform., 2012

Mutation analysis of disease causing proteins.

Ananda Mohan Mondal, Jianjun Hu

Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2012

2011

Network based subcellular localization prediction for multi-label proteins.

M. Mondal Ananda, Jhih-rong Lin, Jianjun Hu

Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011

2010

NetLoc: Network based protein localization prediction using protein-protein interaction and co-expression networks.

M. Mondal Ananda, Jianjun Hu

Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010