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Laura M Heiser

Showing results (31-40 of 95) with videos related to

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Biorxiv : the Preprint Server for Biology|January 31, 2024
Single-cell morphodynamical trajectories enable prediction of gene expression accompanying cell state changeJeremy Copperman, Ian C Mclean, Sean M Gross, et al.
Genome Medicine|October 12, 2013
A robust prognostic signature for hormone-positive node-negative breast cancerObi L Griffith, François Pepin, Oana M Enache, et al.
BMC Bioinformatics|November 3, 2019
Annot: a Django-based sample, reagent, and experiment metadata tracking systemElmar Bucher, Cheryl J Claunch, Derrick Hee, et al.
Advanced Healthcare Materials|January 10, 2023
Live Cell Lineage Tracing of Dormant Cancer CellsHyuna Kim, Anna Wirasaputra, Farnaz Mohammadi, et al.
Scientific Data|November 8, 2017
Quantification of sensitivity and resistance of breast cancer cell lines to anti-cancer drugs using GR metricsMarc Hafner, Laura M Heiser, Elizabeth H Williams, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|February 29, 2024
Single-Cell Analysis of Rohon-Beard Neurons Implicates Fgf Signaling in Axon Maintenance and Cell SurvivalAdam M Tuttle, Lauren N Miller, Lindsey J Royer, et al.
Nature Communications|June 10, 2023
Analysis and modeling of cancer drug responses using cell cycle phase-specific rate effectsSean M Gross, Farnaz Mohammadi, Crystal Sanchez-Aguila, et al.
Biorxiv : the Preprint Server for Biology|September 11, 2023
Single-cell analysis of Rohon-Beard neurons implicates Fgf signaling in axon maintenance and cell survivalAdam M Tuttle, Lauren N Miller, Lindsey J Royer, et al.
Bioinformatics (Oxford, England)|August 28, 2012
Bayesian inference of signaling network topology in a cancer cell lineSteven M Hill, Yiling Lu, Jennifer Molina, et al.
Cell Systems|April 3, 2026
Single-cell morphodynamical trajectories enable prediction of gene expression accompanying cell state changeJeremy Copperman, Ian C Mclean, Sean M Gross, et al.
Pageof 10

Showing results (31-40 of 95) with videos related to

Sort By:
Pageof 10
Biorxiv : the Preprint Server for Biology|January 31, 2024
Single-cell morphodynamical trajectories enable prediction of gene expression accompanying cell state changeJeremy Copperman, Ian C Mclean, Sean M Gross, et al.
Genome Medicine|October 12, 2013
A robust prognostic signature for hormone-positive node-negative breast cancerObi L Griffith, François Pepin, Oana M Enache, et al.
BMC Bioinformatics|November 3, 2019
Annot: a Django-based sample, reagent, and experiment metadata tracking systemElmar Bucher, Cheryl J Claunch, Derrick Hee, et al.
Advanced Healthcare Materials|January 10, 2023
Live Cell Lineage Tracing of Dormant Cancer CellsHyuna Kim, Anna Wirasaputra, Farnaz Mohammadi, et al.
Scientific Data|November 8, 2017
Quantification of sensitivity and resistance of breast cancer cell lines to anti-cancer drugs using GR metricsMarc Hafner, Laura M Heiser, Elizabeth H Williams, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|February 29, 2024
Single-Cell Analysis of Rohon-Beard Neurons Implicates Fgf Signaling in Axon Maintenance and Cell SurvivalAdam M Tuttle, Lauren N Miller, Lindsey J Royer, et al.
Nature Communications|June 10, 2023
Analysis and modeling of cancer drug responses using cell cycle phase-specific rate effectsSean M Gross, Farnaz Mohammadi, Crystal Sanchez-Aguila, et al.
Biorxiv : the Preprint Server for Biology|September 11, 2023
Single-cell analysis of Rohon-Beard neurons implicates Fgf signaling in axon maintenance and cell survivalAdam M Tuttle, Lauren N Miller, Lindsey J Royer, et al.
Bioinformatics (Oxford, England)|August 28, 2012
Bayesian inference of signaling network topology in a cancer cell lineSteven M Hill, Yiling Lu, Jennifer Molina, et al.
Cell Systems|April 3, 2026
Single-cell morphodynamical trajectories enable prediction of gene expression accompanying cell state changeJeremy Copperman, Ian C Mclean, Sean M Gross, et al.
Pageof 10