Author

Akanksha Jarwal

Indraprastha Institute of Information Technology Delhi

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:scRNA-seq· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Akanksha AroraiD· 2 shared Aman Kumar SrivastavaiD· 2 shared Anjali DhalliD· 2 shared Gajendra P. S. RaghavaiD· 2 shared Sumeet PatiyaliD· 2 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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2 shared papersBioinformatics

Akanksha AroraORCID

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2 papers

Recent·Most cited

A Deep Learning method for classification of HNSCC and HPV patients using single-cell transcriptomics

Akanksha Jarwal, Anjali Dhall, Akanksha Arora, Sumeet Patiyal, Aman Kumar Srivastava, Gajendra P. S. Raghava

This paper develops a deep learning model using single-cell transcriptomics to classify HNSCC and distinguish HPV+ from HPV- patients, achieving high AUROC scores on a validation dataset.

Frontiers in Molecular Biosciences · May 30, 2024Peer-reviewedBioinformatics

Prediction of Alzheimer's Disease from Single Cell Transcriptomics Using Deep Learning

Aman Kumar Srivastava, Anjali Dhall, Sumeet Patiyal, Akanksha Arora, Akanksha Jarwal, Gajendra P. S. Raghava

This study develops a deep learning model to predict Alzheimer's disease using single-cell transcriptomics data, achieving an AUC of 0.75-0.84 on validation datasets.

bioRxiv · Jul 7, 2023 · PreprintBioinformatics