Author

Kushagra Pandey

Indian Institute of Technology KanpurORCID 0009-0009-2017-7878Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:CITE-seq· 1 Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1 Research Focus:imputation· 1 Assay:scRNA-seq· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Hamim ZafariD· 2 shared Anirudh Nanduri· 1 shared Musale Krushna PavaniD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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2 shared papersBioinformatics

Hamim ZafarORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJan 28, 2025

multiHIVE: Hierarchical Multimodal Deep Generative Model for Single-cell Multiomics Integration

Anirudh Nanduri, Musale Krushna Pavan, Kushagra Pandey, Hamim Zafar

multiHIVE integrates CITE-seq data using a hierarchical deep generative model, improving trajectory inference and gene trend identification.

DOI 10.1101/2025.01.28.635222

CITE-seqdeep learning

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GenomicsNucleic Acids ResearchPeer-reviewedMay 25, 2022

Inference of cell state transitions and cell fate plasticity from single-cell with MARGARET

Kushagra Pandey, Hamim Zafar

MARGARET improves trajectory inference by accurately reconstructing complex cell-state manifolds and identifying cell fate plasticity in single-cell RNA-seq data.

32 citations

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