Laura M. Heiser
Reproducibility track record
3
assessed papers
80/100
mean reproducibility
2
reproduced (C1–C2)
0
flagged
46
total citations
flag rate:
0%
(0/3)
The share of this author’s assessed papers carrying a ⚑ flag. A concentration is a prompt for expert review — never, on its own, a determination about the person.
Authorship role
first author: 0
last author: 0
Topics
Biology 2Deconvolution 1Immune system 1Computational biology 1Cancer research 1Signal transduction 1
Funders
—
Frequent co-authors
William B. Dodd 1Aaron M. Newman 1Lu Han 1Stephen Piccolo 1Julio Sáez-Rodríguez 1Sydney R. Wyatt 1Joshua J. Waterfall 1Jasmine A. McQuerry 1Xindi Guo 1Markus Kreuz 1
Institutions
Oregon Health & Science University 3Sage Bionetworks 1Jackson Laboratory 1Inserm 1Université Paris Cité 1Centre de Recherche des Cordeliers 1
Geography (author institutions)
US 3FR 1GB 1CN 1AR 1IT 1
Co-author network
Collaborators, sized by shared output and coloured by their own reproducibility (green = high, red = low). Click a node to open their card. A pattern is a prompt for review, never a determination.
How this author’s assessed papers reproduced — the outcome of reproduction attempts, not a judgement of the person. Coverage is partial and grows over time.
Assessed papers (3)
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Community assessment of methods to deconvolve cellular composition from bulk gene expression.
2024 L1 63/100
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A scalable, open-source implementation of a large-scale mechanistic model for single cell proliferation and death signaling.
2022 L1 84/100
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Activity of distinct growth factor receptor network components in breast tumors uncovers two biologically relevant subtypes.
2017 L1 92/100