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Nature methods

Showing results (1391-1400 of 3,365) with videos related to

Pageof 337
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Nature Methods|December 11, 2019
NicheNet: modeling intercellular communication by linking ligands to target genesRobin Browaeys, Wouter Saelens, Yvan Saeys
Nature Methods|January 15, 2020
MINFLUX nanoscopy delivers 3D multicolor nanometer resolution in cellsKlaus C Gwosch, Jasmin K Pape, Francisco Balzarotti, et al.
Nature Methods|March 24, 2020
3D ATAC-PALM: super-resolution imaging of the accessible genomeLiangqi Xie, Peng Dong, Xingqi Chen, et al.
Nature Methods|March 24, 2020
TMTpro reagents: a set of isobaric labeling mass tags enables simultaneous proteome-wide measurements across 16 samplesJiaming Li, Jonathan G Van Vranken, Laura Pontano Vaites, et al.
Nature Methods|March 24, 2020
Single-molecule displacement mapping unveils nanoscale heterogeneities in intracellular diffusivityLimin Xiang, Kun Chen, Rui Yan, et al.
Nature Methods|October 13, 2020
DeepC: predicting 3D genome folding using megabase-scale transfer learningRon Schwessinger, Matthew Gosden, Damien Downes, et al.
Nature Methods|October 13, 2020
Predicting 3D genome folding from DNA sequence with AkitaGeoff Fudenberg, David R Kelley, Katherine S Pollard
Nature Methods|November 28, 2018
Found In Translation: a machine learning model for mouse-to-human inferenceRachelly Normand, Wenfei Du, Mayan Briller, et al.
Nature Methods|November 28, 2018
Interpretation of an individual functional genomics experiment guided by massive public dataYoung-Suk Lee, Aaron K Wong, Alicja Tadych, et al.
Nature Methods|January 22, 2019
A discriminative learning approach to differential expression analysis for single-cell RNA-seqVasilis Ntranos, Lynn Yi, Páll Melsted, et al.
Pageof 337

Showing results (1391-1400 of 3,365) with videos related to

Sort By:
Pageof 337
Nature Methods|December 11, 2019
NicheNet: modeling intercellular communication by linking ligands to target genesRobin Browaeys, Wouter Saelens, Yvan Saeys
Nature Methods|January 15, 2020
MINFLUX nanoscopy delivers 3D multicolor nanometer resolution in cellsKlaus C Gwosch, Jasmin K Pape, Francisco Balzarotti, et al.
Nature Methods|March 24, 2020
3D ATAC-PALM: super-resolution imaging of the accessible genomeLiangqi Xie, Peng Dong, Xingqi Chen, et al.
Nature Methods|March 24, 2020
TMTpro reagents: a set of isobaric labeling mass tags enables simultaneous proteome-wide measurements across 16 samplesJiaming Li, Jonathan G Van Vranken, Laura Pontano Vaites, et al.
Nature Methods|March 24, 2020
Single-molecule displacement mapping unveils nanoscale heterogeneities in intracellular diffusivityLimin Xiang, Kun Chen, Rui Yan, et al.
Nature Methods|October 13, 2020
DeepC: predicting 3D genome folding using megabase-scale transfer learningRon Schwessinger, Matthew Gosden, Damien Downes, et al.
Nature Methods|October 13, 2020
Predicting 3D genome folding from DNA sequence with AkitaGeoff Fudenberg, David R Kelley, Katherine S Pollard
Nature Methods|November 28, 2018
Found In Translation: a machine learning model for mouse-to-human inferenceRachelly Normand, Wenfei Du, Mayan Briller, et al.
Nature Methods|November 28, 2018
Interpretation of an individual functional genomics experiment guided by massive public dataYoung-Suk Lee, Aaron K Wong, Alicja Tadych, et al.
Nature Methods|January 22, 2019
A discriminative learning approach to differential expression analysis for single-cell RNA-seqVasilis Ntranos, Lynn Yi, Páll Melsted, et al.
Pageof 337