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Lukas M. Weber

Researcher at Johns Hopkins University

Publications -  41
Citations -  2584

Lukas M. Weber is an academic researcher from Johns Hopkins University. The author has contributed to research in topics: Computer science & Gene. The author has an hindex of 14, co-authored 34 publications receiving 1530 citations. Previous affiliations of Lukas M. Weber include University of Zurich & Swiss Institute of Bioinformatics.

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High-dimensional single-cell analysis predicts response to anti-PD-1 immunotherapy

TL;DR: High-dimensional single-cell mass cytometry and a bioinformatics pipeline are used for the in-depth characterization of the immune cell subsets in the peripheral blood of patients with stage IV melanoma before and after 12 weeks of anti-PD-1 immunotherapy to propose that the frequency of monocytes in PBMCs may serve in clinical decision support.
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Comparison of clustering methods for high-dimensional single-cell flow and mass cytometry data.

TL;DR: An up‐to‐date, extensible performance comparison of clustering methods for high‐dimensional flow and mass cytometry data is performed using several publicly available data sets from experiments in immunology, with cell population identities from expert manual gating as the reference standard.
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Transcriptome-scale spatial gene expression in the human dorsolateral prefrontal cortex.

TL;DR: This article used the 10x Genomics Visium platform to define the spatial topography of gene expression in the six-layered human dorsolateral prefrontal cortex and identified extensive layer-enriched expression signatures and refined associations to previous laminar markers.
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CyTOF workflow: differential discovery in high-throughput high-dimensional cytometry datasets

TL;DR: An updated R-based pipeline for differential analyses of HDCyto data, largely based on Bioconductor packages is presented, allowing overdispersion in cell count or aggregated signals across samples to be appropriately modeled.
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Maximizing mutagenesis with solubilized CRISPR-Cas9 ribonucleoprotein complexes

TL;DR: The results establish that optimally solubilized, in vitro assembled fluorescent Cas9-sgRNA RNPs provide a reproducible reagent for direct and scalable loss-of-function studies and applications beyond zebrafish experiments that require maximal DNA cutting efficiency in vivo.