Author
Ajith V. Pankajam
National Institutes of HealthORCID 0000-0002-4457-9523Unclaimed ORCID profile · follow to get notified of new preprints
Biology Disciplines
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2019-2026 · peak 2/yrCo-Author Collaboration Network
10 top collaborators · 21 mutual co-author linksMutual co-authors in cluster
5 papers
Recent·Most cited
- BioinformaticsbioRxivPreprint
Cell phenotypes in the biomedical literature: a systematic analysis and text mining corpus
Noam Rotenberg, Robert Leaman, Rezarta Islamaj…·Richard H. Scheuermann
The paper creates a manually annotated corpus of cell phenotype mentions and shows its use in improving named entity recognition and entity linking models.
- BioinformaticsbioRxivPreprint
Benchmarking single cell transcriptome matching methods for incremental growth of cell atlases
Joyce K. Hu, Beverly F Peng, Ajith V. Pankajam…·Yun Zhang
The paper benchmarks seven computational tools for matching cell types across cell atlases, finding variations in accuracy and proposing a framework for incremental growth of cell atlases.
- BioinformaticsBMC MethodsPeer-reviewed
Discovery of optimal cell type classification marker genes from single cell RNA sequencing data
Angela Liu, Beverly Peng, Ajith V. Pankajam…·Yun Zhang
NS-Forest v4.0 identifies optimal marker genes for cell type classification in scRNA-seq data, improving accuracy and selectivity for closely related cell types.
- GeneticsG3 Genes Genomes GeneticsPeer-reviewed
The Neurospora crassa standard Oak Ridge background exhibits an atypically efficient meiotic silencing by unpaired DNA.
Dev Ashish Giri, Ajith V. Pankajam, Koodali T Nishant, Durgadas P. Kasbekar
The paper investigates MSUD efficiency in different Neurospora crassa genetic backgrounds, finding that the standard Oak Ridge background exhibits unusually efficient MSUD compared to other backgrounds.
1 citation