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A Teichmann

Showing results (191-200 of 357) with videos related to

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Nature Biotechnology|January 20, 2015
Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cellsFlorian Buettner, Kedar N Natarajan, F Paolo Casale, et al.
Cell|January 15, 2019
Genome-wide CRISPR Screens in T Helper Cells Reveal Pervasive Crosstalk between Activation and DifferentiationJohan Henriksson, Xi Chen, Tomás Gomes, et al.
Nature Protocols|March 26, 2025
CellPhoneDB v5: inferring cell-cell communication from single-cell multiomics dataKevin Troulé, Robert Petryszak, Batuhan Cakir, et al.
Nature|April 3, 2024
Immune microniches shape intestinal T<sub>reg</sub> functionYisu Gu, Raquel Bartolomé-Casado, Chuan Xu, et al.
Science (New York, N.Y.)|December 20, 2014
Evolution of oligomeric state through allosteric pathways that mimic ligand bindingTina Perica, Yasushi Kondo, Sandhya P Tiwari, et al.
Nature Communications|July 10, 2024
Protein Condensate Atlas from predictive models of heteromolecular condensate compositionKadi L Saar, Rob M Scrutton, Kotryna Bloznelyte, et al.
Nature Communications|July 2, 2024
Multi-modal generative modeling for joint analysis of single-cell T cell receptor and gene expression dataFelix Drost, Yang An, Irene Bonafonte-Pardàs, et al.
Nature Communications|November 13, 2022
Identification of visual cortex cell types and species differences using single-cell RNA sequencingJia-Ru Wei, Zhao-Zhe Hao, Chuan Xu, et al.
Nature Reviews. Cardiology|December 20, 2022
Single-cell transcriptomics for the assessment of cardiac diseaseAntonio M A Miranda, Vaibhao Janbandhu, Henrike Maatz, et al.
Nature Communications|June 28, 2017
Flipping between Polycomb repressed and active transcriptional states introduces noise in gene expressionGozde Kar, Jong Kyoung Kim, Aleksandra A Kolodziejczyk, et al.
Pageof 36

Showing results (191-200 of 357) with videos related to

Sort By:
Pageof 36
Nature Biotechnology|January 20, 2015
Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cellsFlorian Buettner, Kedar N Natarajan, F Paolo Casale, et al.
Cell|January 15, 2019
Genome-wide CRISPR Screens in T Helper Cells Reveal Pervasive Crosstalk between Activation and DifferentiationJohan Henriksson, Xi Chen, Tomás Gomes, et al.
Nature Protocols|March 26, 2025
CellPhoneDB v5: inferring cell-cell communication from single-cell multiomics dataKevin Troulé, Robert Petryszak, Batuhan Cakir, et al.
Nature|April 3, 2024
Immune microniches shape intestinal T<sub>reg</sub> functionYisu Gu, Raquel Bartolomé-Casado, Chuan Xu, et al.
Science (New York, N.Y.)|December 20, 2014
Evolution of oligomeric state through allosteric pathways that mimic ligand bindingTina Perica, Yasushi Kondo, Sandhya P Tiwari, et al.
Nature Communications|July 10, 2024
Protein Condensate Atlas from predictive models of heteromolecular condensate compositionKadi L Saar, Rob M Scrutton, Kotryna Bloznelyte, et al.
Nature Communications|July 2, 2024
Multi-modal generative modeling for joint analysis of single-cell T cell receptor and gene expression dataFelix Drost, Yang An, Irene Bonafonte-Pardàs, et al.
Nature Communications|November 13, 2022
Identification of visual cortex cell types and species differences using single-cell RNA sequencingJia-Ru Wei, Zhao-Zhe Hao, Chuan Xu, et al.
Nature Reviews. Cardiology|December 20, 2022
Single-cell transcriptomics for the assessment of cardiac diseaseAntonio M A Miranda, Vaibhao Janbandhu, Henrike Maatz, et al.
Nature Communications|June 28, 2017
Flipping between Polycomb repressed and active transcriptional states introduces noise in gene expressionGozde Kar, Jong Kyoung Kim, Aleksandra A Kolodziejczyk, et al.
Pageof 36