Author

Felipa Mapa

ORCID 0000-0002-9985-4545Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Research Focus:benchmarking· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:database / resource· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Florian NigschiD· 2 shared Peter AspesiiD· 2 shared Ajamete KaykasiD· 1 shared Alan Williams· 1 shared Allen Cornett· 1 shared Annick WaldtiD· 1 shared Ansgar SchuffenhaueriD· 1 shared Ayako HondaiD· 1 shared

Activity by Year

2019-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersBioinformatics

Florian NigschORCID

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Author profile →

3 papers

Recent·Most cited

Application of Cancer Cell Line Encyclopedia for Measuring Correlation Between Transcriptomics and Proteomics as a Guide for System-level Insights

Blake Williams, Darryl Perry, Peter Aspesi, Jefferson Parker, Ted Johnson, Wendy Weiqun Su, Eduardo Tabacman, Kirk Delisle, Kayvon Avishan, Vic E. Myer, Felipa Mapa, Michael Hinterberg, Alan Williams, Lori L. Jennings, Nebojša Janjić, Joseph Loureiro

The paper evaluates the SomaScan proteome profiling platform using CCLE cancer cell lines, showing its ability to distinguish cell lines by proteome signatures and correlate with transcriptome data.

bioRxiv · Mar 3, 2024 · PreprintSystems Biology

Systematic Chemogenetic Library Assembly

Stephen M. Canham, Yuan Wang, Allen Cornett, Douglas S. Auld, Daniel K. Baeschlin, Maude Patoor, Philip R. Skaanderup, Ayako Honda, Luis Llamas, Greg Wendel, Felipa Mapa, Peter Aspesi, Nancy Labbé-Giguère, Gabriel G. Gamber, Daniel S. Palacios, , Jeremy L. Jenkins

The paper describes the assembly of a chemogenetic library through data mining and crowdsourcing, sharing 4186 compounds with annotated gene targets.

Cell chemical biology · Jul 23, 2020Peer-reviewedBioinformatics

CellSIUS provides sensitive and specific detection of rare cell populations from complex single cell RNA-seq data

Rebekka Wegmann, Marilisa Neri, Sven Schuierer, Bilada Bilican, Huyen Hartkopf, Florian Nigsch, Felipa Mapa, Annick Waldt, Rachel Cuttat, Max R. Salick, Joe Raymond, Ajamete Kaykas, Guglielmo Roma, Caroline Gubser Keller

The paper benchmarks scRNA-seq methods and introduces CellSIUS, a tool that improves detection of rare cell populations and identifies their functional signatures in human stem cell differentiation.

Genome biology · Jul 17, 2019Peer-reviewedBioinformatics