Author

David Robert Crawford

National Institutes of HealthORCID 0000-0001-8947-0057Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Assay:DNA methylation· 1

Frequent Co-Authors

Alejandro A. SchäfferiD· 2 shared Eytan RuppiniD· 2 shared Drew W. PrattiD· 1 shared Edward Michael GertziD· 1 shared Erin K. MolloyiD· 1 shared Farid Rashidi MehrabadiiD· 1 shared Fiorella SchischlikiD· 1 shared Joo Sang LeeiD· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersBioinformatics

Alejandro A. SchäfferORCID

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2 papers

Recent·Most cited

BioinformaticsGenome ResearchPeer-reviewedJun 14, 2023

Single-cell methylation sequencing data reveal succinct metastatic migration histories and tumor progression models

Yuelin Liu, Xuan Cindy Li, Farid Rashidi Mehrabadi…·S. Cenk Şahinalp

This paper introduces Sgootr, a method to infer tumor lineage trees from single-cell methylation data, revealing metastatic progression models and identifying lineage-informative CpG sites.

9 citations

humanDNA methylation

𝕏 PostBluesky

BioinformaticsbioRxivPreprintJan 20, 2021

Deconvolving clinically relevant cellular immune crosstalk from bulk gene expression using CODEFACS and LIRICS

Kun Wang, Sushant Patkar, Joo Sang Lee…·Eytan Ruppin

The paper develops CODEFACS and LIRICS to deconvolve bulk gene expression and identify clinically relevant ligand-receptor interactions in tumors, finding specific T-cell interactions linked to anti-PD1 response.

2 citations

humanbulk RNA-seq

𝕏 PostBluesky