M
Michelle D. Tadmor
Researcher at Columbia University
Publications - 7
Citations - 4693
Michelle D. Tadmor is an academic researcher from Columbia University. The author has contributed to research in topics: Population & Engineering. The author has an hindex of 6, co-authored 6 publications receiving 3768 citations.
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Journal ArticleDOI
Data-Driven Phenotypic Dissection of AML Reveals Progenitor-like Cells that Correlate with Prognosis.
Jacob H. Levine,Erin F. Simonds,Sean C. Bendall,Kara L. Davis,El-ad David Amir,Michelle D. Tadmor,Oren Litvin,Harris G. Fienberg,Astraea Jager,Eli R. Zunder,Rachel Finck,Amanda Larson Gedman,Ina Radtke,James R. Downing,Dana Pe'er,Garry P. Nolan +15 more
TL;DR: Using hematopoietic progenitors, a signaling-based measure of cellular phenotype was defined, which led to isolation of a gene expression signature that was predictive of survival in independent cohorts, yielding insights into AML pathophysiology.
Journal ArticleDOI
viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia
El-ad David Amir,Kara L. Davis,Michelle D. Tadmor,Erin F. Simonds,Jacob H. Levine,Sean C. Bendall,Daniel K. Shenfeld,Smita Krishnaswamy,Garry P. Nolan,Dana Pe'er +9 more
TL;DR: In this article, the authors present viSNE, a tool that allows one to map high-dimensional cytometry data onto two dimensions, yet conserve the highdimensional structure of the data by using all pairwise distances in high dimension to determine each cell's location in the plot.
Journal ArticleDOI
Single-Cell Trajectory Detection Uncovers Progression and Regulatory Coordination in Human B Cell Development
Sean C. Bendall,Kara L. Davis,El-ad David Amir,Michelle D. Tadmor,Erin F. Simonds,Tiffany J. Chen,Daniel K. Shenfeld,Garry P. Nolan,Dana Pe'er +8 more
TL;DR: This study provides a comprehensive analysis of human B lymphopoiesis, laying a foundation to apply this approach to other tissues and "corrupted" developmental processes including cancer.
Journal ArticleDOI
Wishbone identifies bifurcating developmental trajectories from single-cell data.
Manu Setty,Michelle D. Tadmor,Shlomit Reich-Zeliger,Omer Angel,Tomer-Meir Salame,Pooja Kathail,Kristy Choi,Sean C. Bendall,Nir Friedman,Dana Pe'er +9 more
TL;DR: Wishbone, an algorithm for positioning single cells along bifurcating developmental trajectories with high resolution, is presented and it is shown that it outperforms diffusion maps, SCUBA and Monocle both in the accuracy of ordering cells and in the correct identification of branch points.
Journal ArticleDOI
Trajectories of cell-cycle progression from fixed cell populations
TL;DR: Cycler is presented, a robust method that constructs a continuous trajectory of cell-cycle progression from images of fixed cells that handles heterogeneous microenvironments and does not require perturbations or genetic markers, making it generally applicable to quantifying multiple sources ofcell-to-cell variability in mammalian cells.