Author

K. Hueniken

Primary ORCID profile (0000-0003-1376-8046 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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

Same name, identified by ORCID

K. HuenikeniD1 paper · University Health Network

Biology Disciplines

Click to filter author papers

Cancer Biology· 1 Cell Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 2 Approach:statistical model· 2 Approach:biophysical modeling· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1

Frequent Co-Authors

A. V. Perruccio· 1 shared B. H. Lok· 1 shared C. Pastrello· 1 shared D. Cheng· 1 shared D. De Carvalho· 1 shared D. Patel· 1 shared D. Sacdalan· 1 shared E. Gracey· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 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

1 shared paperCell Biology

A. V. Perruccio

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Cell and Transcriptomic Diversity of Infrapatellar Fat Pad during Knee Osteoarthritis

H. Peters, P. Potla, J. S. Rockel, T. Tockovska, C. Pastrello, I. Jurisica, K. D. Santos, S. Vohra, S. Lively, K. Perry, N. Looby, S. H. Li, V. Chandran, K. Hueniken, P. Kaur, , M. Kapoor

This study uses multi-omic approaches to analyze cellular and transcriptomic diversity in infrapatellar fat pad during knee osteoarthritis, identifying fibroblasts as key contributors to disease-related differences.

bioRxiv · Apr 4, 2024Cell Biology

Cell-free Tumor Methylome Analysis of Small Cell Lung Cancer Patients Identifies Subgroups with Prognostic Associations

S. Ul Haq, S. Schmid, M. K. Aparnathi, K. Hueniken, L. J. Zhan, D. Sacdalan, J. J. N. Li, D. Patel, D. Cheng, V. Philip, M. S. Tsao, M. Cabanero, D. De Carvalho, G. Liu, S. V. Bratman, B. H. Lok

This study uses cfMeDIP-seq to analyze cell-free methylomes in SCLC patients, identifying prognostic methylome clusters associated with biological pathways and repeat elements.

bioRxiv · May 12, 2022 · PreprintCancer Biology