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Showing results (171-180 of 426) with videos related to

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Nature Communications|November 17, 2021
scPower accelerates and optimizes the design of multi-sample single cell transcriptomic studiesKatharina T Schmid, Barbara Höllbacher, Cristiana Cruceanu, et al.
Science (New York, N.Y.)|May 16, 2015
Neurodevelopment. Live imaging of adult neural stem cell behavior in the intact and injured zebrafish brainJoana S Barbosa, Rosario Sanchez-Gonzalez, Rossella Di Giaimo, et al.
Plos Computational Biology|March 3, 2020
Model-based analysis of response and resistance factors of cetuximab treatment in gastric cancer cell linesElba Raimúndez, Simone Keller, Gwen Zwingenberger, et al.
Cold Spring Harbor Symposia on Quantitative Biology|January 1, 1985
Embryonic pattern in Drosophila: the spatial distribution and sequence-specific DNA binding of engrailed proteinP H O'Farrell, C Desplan, S DiNardo, et al.
Journal of Proteome Research|December 2, 2014
Network-based approach for analyzing intra- and interfluid metabolite associations in human blood, urine, and salivaKieu Trinh Do, Gabi Kastenmüller, Dennis O Mook-Kanamori, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 16, 2007
How to extract marker genes from microarray data setsR Schachtner, D Lutter, F J Theis Theis, et al.
BMC Bioinformatics|February 26, 2014
iVUN: interactive Visualization of Uncertain biochemical reaction NetworksCorinna Vehlow, Jan Hasenauer, Andrei Kramer, et al.
American Heart Journal|September 1, 1983
Effects of laser irradiation delivered by flexible fiberoptic system on the left ventricular internal myocardiumG Lee, R M Ikeda, J Theis, et al.
Diabetologia|September 5, 2014
Feature ranking of type 1 diabetes susceptibility genes improves prediction of type 1 diabetesChristiane Winkler, Jan Krumsiek, Florian Buettner, et al.
Nature Communications|September 8, 2017
Reconstructing cell cycle and disease progression using deep learningPhilipp Eulenberg, Niklas Köhler, Thomas Blasi, et al.
Pageof 43

Showing results (171-180 of 426) with videos related to

Sort By:
Pageof 43
Nature Communications|November 17, 2021
scPower accelerates and optimizes the design of multi-sample single cell transcriptomic studiesKatharina T Schmid, Barbara Höllbacher, Cristiana Cruceanu, et al.
Science (New York, N.Y.)|May 16, 2015
Neurodevelopment. Live imaging of adult neural stem cell behavior in the intact and injured zebrafish brainJoana S Barbosa, Rosario Sanchez-Gonzalez, Rossella Di Giaimo, et al.
Plos Computational Biology|March 3, 2020
Model-based analysis of response and resistance factors of cetuximab treatment in gastric cancer cell linesElba Raimúndez, Simone Keller, Gwen Zwingenberger, et al.
Cold Spring Harbor Symposia on Quantitative Biology|January 1, 1985
Embryonic pattern in Drosophila: the spatial distribution and sequence-specific DNA binding of engrailed proteinP H O'Farrell, C Desplan, S DiNardo, et al.
Journal of Proteome Research|December 2, 2014
Network-based approach for analyzing intra- and interfluid metabolite associations in human blood, urine, and salivaKieu Trinh Do, Gabi Kastenmüller, Dennis O Mook-Kanamori, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 16, 2007
How to extract marker genes from microarray data setsR Schachtner, D Lutter, F J Theis Theis, et al.
BMC Bioinformatics|February 26, 2014
iVUN: interactive Visualization of Uncertain biochemical reaction NetworksCorinna Vehlow, Jan Hasenauer, Andrei Kramer, et al.
American Heart Journal|September 1, 1983
Effects of laser irradiation delivered by flexible fiberoptic system on the left ventricular internal myocardiumG Lee, R M Ikeda, J Theis, et al.
Diabetologia|September 5, 2014
Feature ranking of type 1 diabetes susceptibility genes improves prediction of type 1 diabetesChristiane Winkler, Jan Krumsiek, Florian Buettner, et al.
Nature Communications|September 8, 2017
Reconstructing cell cycle and disease progression using deep learningPhilipp Eulenberg, Niklas Köhler, Thomas Blasi, et al.
Pageof 43