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Barbara E Engelhardt

Showing results (41-50 of 66) with videos related to

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Scientific Reports|June 30, 2026
Segmentation-free analysis of live-cell imaging data reveals how T cell modifications influence cancer cell aggregation dynamicsLeo Epstein, Adam C Weiner, Archit Verma, et al.
Proceedings of the National Academy of Sciences of the United States of America|August 7, 2021
A self-exciting point process to study multicellular spatial signaling patternsArchit Verma, Siddhartha G Jena, Danielle R Isakov, et al.
BMC Medical Informatics and Decision Making|July 10, 2020
Sparse multi-output Gaussian processes for online medical time series predictionLi-Fang Cheng, Bianca Dumitrascu, Gregory Darnell, et al.
Plos Computational Biology|January 17, 2018
Clustering gene expression time series data using an infinite Gaussian process mixture modelIan C McDowell, Dinesh Manandhar, Christopher M Vockley, et al.
Biorxiv : the Preprint Server for Biology|March 27, 2026
Using image classifiers to predict CMT2A disease-relevant mitochondrial motility phenotypes in iPSC motor neuronsLeo Epstein, Adam C Weiner, Bria L Macklin, et al.
Proteins|May 15, 2013
Molecular function prediction for a family exhibiting evolutionary tendencies toward substrate specificity swapping: recurrence of tyrosine aminotransferase activity in the Iα subfamilyKathryn E Muratore, Barbara E Engelhardt, John R Srouji, et al.
Plos One|September 7, 2012
Genome-wide association study of d-amphetamine response in healthy volunteers identifies putative associations, including cadherin 13 (CDH13)Amy B Hart, Barbara E Engelhardt, Margaret C Wardle, et al.
Genome Research|October 13, 2017
Co-expression networks reveal the tissue-specific regulation of transcription and splicingAshis Saha, Yungil Kim, Ariel D H Gewirtz, et al.
Neuroimage|November 6, 2021
Brain kernel: A new spatial covariance function for fMRI dataAnqi Wu, Samuel A Nastase, Christopher A Baldassano, et al.
Biorxiv : the Preprint Server for Biology|June 22, 2026
Machine Learning-Guided Discovery of Bacterial-Selective Membrane-Active Compounds Reveals Mechanistic Bias in Antibiotic Training DatasetsConnor Chain, Soodabeh Ghaffari, Syrine Belakaria, et al.
Pageof 7

Showing results (41-50 of 66) with videos related to

Sort By:
Pageof 7
Scientific Reports|June 30, 2026
Segmentation-free analysis of live-cell imaging data reveals how T cell modifications influence cancer cell aggregation dynamicsLeo Epstein, Adam C Weiner, Archit Verma, et al.
Proceedings of the National Academy of Sciences of the United States of America|August 7, 2021
A self-exciting point process to study multicellular spatial signaling patternsArchit Verma, Siddhartha G Jena, Danielle R Isakov, et al.
BMC Medical Informatics and Decision Making|July 10, 2020
Sparse multi-output Gaussian processes for online medical time series predictionLi-Fang Cheng, Bianca Dumitrascu, Gregory Darnell, et al.
Plos Computational Biology|January 17, 2018
Clustering gene expression time series data using an infinite Gaussian process mixture modelIan C McDowell, Dinesh Manandhar, Christopher M Vockley, et al.
Biorxiv : the Preprint Server for Biology|March 27, 2026
Using image classifiers to predict CMT2A disease-relevant mitochondrial motility phenotypes in iPSC motor neuronsLeo Epstein, Adam C Weiner, Bria L Macklin, et al.
Proteins|May 15, 2013
Molecular function prediction for a family exhibiting evolutionary tendencies toward substrate specificity swapping: recurrence of tyrosine aminotransferase activity in the Iα subfamilyKathryn E Muratore, Barbara E Engelhardt, John R Srouji, et al.
Plos One|September 7, 2012
Genome-wide association study of d-amphetamine response in healthy volunteers identifies putative associations, including cadherin 13 (CDH13)Amy B Hart, Barbara E Engelhardt, Margaret C Wardle, et al.
Genome Research|October 13, 2017
Co-expression networks reveal the tissue-specific regulation of transcription and splicingAshis Saha, Yungil Kim, Ariel D H Gewirtz, et al.
Neuroimage|November 6, 2021
Brain kernel: A new spatial covariance function for fMRI dataAnqi Wu, Samuel A Nastase, Christopher A Baldassano, et al.
Biorxiv : the Preprint Server for Biology|June 22, 2026
Machine Learning-Guided Discovery of Bacterial-Selective Membrane-Active Compounds Reveals Mechanistic Bias in Antibiotic Training DatasetsConnor Chain, Soodabeh Ghaffari, Syrine Belakaria, et al.
Pageof 7