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Steven B Haase

Showing results (21-30 of 47) with videos related to

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Bioinformatics (Oxford, England)|September 24, 2013
Design and analysis of large-scale biological rhythm studies: a comparison of algorithms for detecting periodic signals in biological dataAnastasia Deckard, Ron C Anafi, John B Hogenesch, et al.
Cells|September 28, 2021
Inference of Gene Regulatory Network Uncovers the Linkage between Circadian Clock and Crassulacean Acid Metabolism in <i>Kalanch</i><i>oë fedtschenkoi</i>Robert C Moseley, Francis Motta, Gerald A Tuskan, et al.
BMC Bioinformatics|March 18, 2022
Conservation of dynamic characteristics of transcriptional regulatory elements in periodic biological processesFrancis C Motta, Robert C Moseley, Bree Cummins, et al.
Bioinformatics (Oxford, England)|August 20, 2021
Improved datasets and evaluation methods for the automatic prediction of DNA-binding proteinsAlexander Zaitzeff, Nicholas Leiby, Francis C Motta, et al.
Nature Communications|May 30, 2023
Learning perturbation-inducible cell states from observability analysis of transcriptome dynamicsAqib Hasnain, Shara Balakrishnan, Dennis M Joshy, et al.
Cell Cycle (Georgetown, Tex.)|September 22, 2017
Reconciling conflicting models for global control of cell-cycle transcriptionChun-Yi Cho, Francis C Motta, Christina M Kelliher, et al.
Bioinformatics (Oxford, England)|June 21, 2011
A generalized model for multi-marker analysis of cell cycle progression in synchrony experimentsMichael B Mayhew, Joshua W Robinson, Boyoun Jung, et al.
Journal of Visualized Experiments : Jove|June 26, 2023
Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment ComparisonsSophia A Campione, Christina M Kelliher, David A Orlando, et al.
Journal of Mathematical Biology|February 3, 2020
Using extremal events to characterize noisy time seriesEric Berry, Bree Cummins, Robert R Nerem, et al.
BMC Bioinformatics|April 28, 2012
Parametric modeling of cellular state transitions as measured with flow cytometryHsiu J Ho, Tsung I Lin, Hannah H Chang, et al.
Pageof 5

Showing results (21-30 of 47) with videos related to

Sort By:
Pageof 5
Bioinformatics (Oxford, England)|September 24, 2013
Design and analysis of large-scale biological rhythm studies: a comparison of algorithms for detecting periodic signals in biological dataAnastasia Deckard, Ron C Anafi, John B Hogenesch, et al.
Cells|September 28, 2021
Inference of Gene Regulatory Network Uncovers the Linkage between Circadian Clock and Crassulacean Acid Metabolism in <i>Kalanch</i><i>oë fedtschenkoi</i>Robert C Moseley, Francis Motta, Gerald A Tuskan, et al.
BMC Bioinformatics|March 18, 2022
Conservation of dynamic characteristics of transcriptional regulatory elements in periodic biological processesFrancis C Motta, Robert C Moseley, Bree Cummins, et al.
Bioinformatics (Oxford, England)|August 20, 2021
Improved datasets and evaluation methods for the automatic prediction of DNA-binding proteinsAlexander Zaitzeff, Nicholas Leiby, Francis C Motta, et al.
Nature Communications|May 30, 2023
Learning perturbation-inducible cell states from observability analysis of transcriptome dynamicsAqib Hasnain, Shara Balakrishnan, Dennis M Joshy, et al.
Cell Cycle (Georgetown, Tex.)|September 22, 2017
Reconciling conflicting models for global control of cell-cycle transcriptionChun-Yi Cho, Francis C Motta, Christina M Kelliher, et al.
Bioinformatics (Oxford, England)|June 21, 2011
A generalized model for multi-marker analysis of cell cycle progression in synchrony experimentsMichael B Mayhew, Joshua W Robinson, Boyoun Jung, et al.
Journal of Visualized Experiments : Jove|June 26, 2023
Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment ComparisonsSophia A Campione, Christina M Kelliher, David A Orlando, et al.
Journal of Mathematical Biology|February 3, 2020
Using extremal events to characterize noisy time seriesEric Berry, Bree Cummins, Robert R Nerem, et al.
BMC Bioinformatics|April 28, 2012
Parametric modeling of cellular state transitions as measured with flow cytometryHsiu J Ho, Tsung I Lin, Hannah H Chang, et al.
Pageof 5