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Nature methods

Showing results (1271-1280 of 3,365) with videos related to

Pageof 337
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Nature Methods|June 22, 2021
The triumphs and limitations of computational methods for scRNA-seqPeter V Kharchenko
Nature Methods|May 11, 2022
A hybrid open-top light-sheet microscope for versatile multi-scale imaging of cleared tissuesAdam K Glaser, Kevin W Bishop, Lindsey A Barner, et al.
Nature Methods|June 2, 2022
TrackMate 7: integrating state-of-the-art segmentation algorithms into tracking pipelinesDmitry Ershov, Minh-Son Phan, Joanna W Pylvänäinen, et al.
Nature Methods|May 31, 2022
A learned embedding for efficient joint analysis of millions of mass spectraWout Bittremieux, Damon H May, Jeffrey Bilmes, et al.
Nature Methods|May 31, 2022
ScanNet: an interpretable geometric deep learning model for structure-based protein binding site predictionJérôme Tubiana, Dina Schneidman-Duhovny, Haim J Wolfson
Nature Methods|May 9, 2022
Precision size and refractive index analysis of weakly scattering nanoparticles in polydispersionsAnna D Kashkanova, Martin Blessing, André Gemeinhardt, et al.
Nature Methods|January 9, 2018
GIGGLE: a search engine for large-scale integrated genome analysisRyan M Layer, Brent S Pedersen, Tonya DiSera, et al.
Nature Methods|December 22, 2018
Deep learning enables de novo peptide sequencing from data-independent-acquisition mass spectrometryNgoc Hieu Tran, Rui Qiao, Lei Xin, et al.
Nature Methods|December 22, 2018
Evaluation of variability in human kidney organoidsBelinda Phipson, Pei X Er, Alexander N Combes, et al.
Nature Methods|December 22, 2018
Reliability of human cortical organoid generationSe-Jin Yoon, Lubayna S Elahi, Anca M Pașca, et al.
Pageof 337

Showing results (1271-1280 of 3,365) with videos related to

Sort By:
Pageof 337
Nature Methods|June 22, 2021
The triumphs and limitations of computational methods for scRNA-seqPeter V Kharchenko
Nature Methods|May 11, 2022
A hybrid open-top light-sheet microscope for versatile multi-scale imaging of cleared tissuesAdam K Glaser, Kevin W Bishop, Lindsey A Barner, et al.
Nature Methods|June 2, 2022
TrackMate 7: integrating state-of-the-art segmentation algorithms into tracking pipelinesDmitry Ershov, Minh-Son Phan, Joanna W Pylvänäinen, et al.
Nature Methods|May 31, 2022
A learned embedding for efficient joint analysis of millions of mass spectraWout Bittremieux, Damon H May, Jeffrey Bilmes, et al.
Nature Methods|May 31, 2022
ScanNet: an interpretable geometric deep learning model for structure-based protein binding site predictionJérôme Tubiana, Dina Schneidman-Duhovny, Haim J Wolfson
Nature Methods|May 9, 2022
Precision size and refractive index analysis of weakly scattering nanoparticles in polydispersionsAnna D Kashkanova, Martin Blessing, André Gemeinhardt, et al.
Nature Methods|January 9, 2018
GIGGLE: a search engine for large-scale integrated genome analysisRyan M Layer, Brent S Pedersen, Tonya DiSera, et al.
Nature Methods|December 22, 2018
Deep learning enables de novo peptide sequencing from data-independent-acquisition mass spectrometryNgoc Hieu Tran, Rui Qiao, Lei Xin, et al.
Nature Methods|December 22, 2018
Evaluation of variability in human kidney organoidsBelinda Phipson, Pei X Er, Alexander N Combes, et al.
Nature Methods|December 22, 2018
Reliability of human cortical organoid generationSe-Jin Yoon, Lubayna S Elahi, Anca M Pașca, et al.
Pageof 337