Author

Anna Yannakopoulos

Michigan State UniversityORCID 0000-0001-7806-984XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 2 Approach:machine learning (classical)· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:statistical model· 1

Frequent Co-Authors

Arjun KrishnaniD· 2 shared Christopher A MancusoiD· 1 shared Kayla A JohnsoniD· 1 shared Lindsay A. GuareiD· 1 shared Marc MaldaveriD· 1 shared Nathaniel T. HawkinsiD· 1 shared Renming LiuiD· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 12 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Arjun KrishnanORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintMay 10, 2021

Systematic tissue annotations of -omics samples by modeling unstructured metadata

Nathaniel T. Hawkins, Marc Maldaver, Anna Yannakopoulos…·Arjun Krishnan

The paper develops an NLP-ML approach to annotate -omics samples with tissue and cell-type labels using free-text metadata, outperforming existing methods and demonstrating biological relevance.

3 citations

humanbulk RNA-seq

𝕏 PostBluesky

BioinformaticsBioinformaticsPeer-reviewedFeb 27, 2020

Supervised-learning is an accurate method for network-based gene classification

Renming Liu, Christopher A Mancuso, Anna Yannakopoulos…·Arjun Krishnan

This study benchmarks supervised-learning for network-based gene classification, showing it outperforms label-propagation and node-embeddings in accuracy.

36 citations

humanstatistical model

𝕏 PostBluesky