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George C Linderman

Showing results (1-10 of 23) with videos related to

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Methods in Molecular Biology (Clifton, N.J.)|April 9, 2021
Dimensionality Reduction of Single-Cell RNA-Seq DataGeorge C Linderman
SIAM Journal on Mathematics of Data Science|October 19, 2020
Clustering with t-SNE, provablyGeorge C Linderman, Stefan Steinerberger
Mathematics of Computation|April 30, 2021
NUMERICAL INTEGRATION ON GRAPHS: WHERE TO SAMPLE AND HOW TO WEIGHGeorge C Linderman, Stefan Steinerberger
Nature Biotechnology|February 2, 2021
Initialization is critical for preserving global data structure in both t-SNE and UMAPDmitry Kobak, George C Linderman
The Journal of Trauma and Acute Care Surgery|July 13, 2021
Authors' response to the letter to the editor by McDonough and DimitrakoffGeorge C Linderman, Kevin M Schuster
Nucleic Acids Research|June 7, 2012
MAGNET: MicroArray Gene expression and Network Evaluation ToolkitGeorge C Linderman, Mark R Chance, Gurkan Bebek
Journal of Applied Probability|September 11, 2020
Randomized near-neighbor graphs, giant components and applications in data scienceGeorge C Linderman, Gal Mishne, Ariel Jaffe, et al.
Bioinformatics (Oxford, England)|February 25, 2011
BiC: a web server for calculating bimodality of coexpression between gene and protein networksGeorge C Linderman, Vishal N Patel, Mark R Chance, et al.
Nature Methods|February 12, 2019
Fast interpolation-based t-SNE for improved visualization of single-cell RNA-seq dataGeorge C Linderman, Manas Rachh, Jeremy G Hoskins, et al.
Epidemiology (Cambridge, Mass.)|June 13, 2025
Regression-based Proximal Causal Inference for Right-censored Time-to-event DataKendrick Qijun Li, George C Linderman, Xu Shi, et al.
Pageof 3

Showing results (1-10 of 23) with videos related to

Sort By:
Pageof 3
Methods in Molecular Biology (Clifton, N.J.)|April 9, 2021
Dimensionality Reduction of Single-Cell RNA-Seq DataGeorge C Linderman
SIAM Journal on Mathematics of Data Science|October 19, 2020
Clustering with t-SNE, provablyGeorge C Linderman, Stefan Steinerberger
Mathematics of Computation|April 30, 2021
NUMERICAL INTEGRATION ON GRAPHS: WHERE TO SAMPLE AND HOW TO WEIGHGeorge C Linderman, Stefan Steinerberger
Nature Biotechnology|February 2, 2021
Initialization is critical for preserving global data structure in both t-SNE and UMAPDmitry Kobak, George C Linderman
The Journal of Trauma and Acute Care Surgery|July 13, 2021
Authors' response to the letter to the editor by McDonough and DimitrakoffGeorge C Linderman, Kevin M Schuster
Nucleic Acids Research|June 7, 2012
MAGNET: MicroArray Gene expression and Network Evaluation ToolkitGeorge C Linderman, Mark R Chance, Gurkan Bebek
Journal of Applied Probability|September 11, 2020
Randomized near-neighbor graphs, giant components and applications in data scienceGeorge C Linderman, Gal Mishne, Ariel Jaffe, et al.
Bioinformatics (Oxford, England)|February 25, 2011
BiC: a web server for calculating bimodality of coexpression between gene and protein networksGeorge C Linderman, Vishal N Patel, Mark R Chance, et al.
Nature Methods|February 12, 2019
Fast interpolation-based t-SNE for improved visualization of single-cell RNA-seq dataGeorge C Linderman, Manas Rachh, Jeremy G Hoskins, et al.
Epidemiology (Cambridge, Mass.)|June 13, 2025
Regression-based Proximal Causal Inference for Right-censored Time-to-event DataKendrick Qijun Li, George C Linderman, Xu Shi, et al.
Pageof 3