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Anna Goldenberg

Showing results (21-30 of 147) with videos related to

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Bioinformatics (Oxford, England)|March 10, 2019
Dr.VAE: improving drug response prediction via modeling of drug perturbation effectsLadislav Rampášek, Daniel Hidru, Petr Smirnov, et al.
Plos One|October 8, 2013
Identifying cancer specific functionally relevant miRNAs from gene expression and miRNA-to-gene networks using regularized regressionAziz M Mezlini, Bo Wang, Amit Deshwar, et al.
Bioinformatics (Oxford, England)|October 4, 2011
Unsupervised detection of genes of influence in lung cancer using biological networksAnna Goldenberg, Sara Mostafavi, Gerald Quon, et al.
Advances in Experimental Medicine and Biology|November 26, 2003
Mitochondrial complex II is essential for hypoxia-induced ROS generation and vasoconstriction in the pulmonary vasculatureRenate Paddenberg, Anna Goldenberg, Petra Faulhammer, et al.
Respiratory Research|July 1, 2006
Hypoxic vasoconstriction of partial muscular intra-acinar pulmonary arteries in murine precision cut lung slicesRenate Paddenberg, Peter König, Petra Faulhammer, et al.
Advances in Experimental Medicine and Biology|November 26, 2003
Role of ROS and NO in hypoxia-induced increase in tyrosine hydroxylase-messenger RNA in PC12 cellsWolfgang Kummer, Brigitte Höhler, Alexandra Sell, et al.
Frontiers in Genetics|May 24, 2019
To Embed or Not: Network Embedding as a Paradigm in Computational BiologyWalter Nelson, Marinka Zitnik, Bo Wang, et al.
Pulmonary Circulation|October 5, 2018
Hypoxia-induced pulmonary vasoconstriction of intra-acinar arteries is impaired in NADPH oxidase 4 gene-deficient miceGhulam Murtaza, Renate Paddenberg, Uwe Pfeil, et al.
Plos Computational Biology|October 13, 2017
Vicus: Exploiting local structures to improve network-based analysis of biological dataBo Wang, Lin Huang, Yuke Zhu, et al.
The Journal of Clinical Endocrinology and Metabolism|June 23, 2021
Predicting Malignancy in Pediatric Thyroid Nodules: Early Experience With Machine Learning for Clinical Decision SupportLebohang Radebe, Daniëlle C M van der Kaay, Jonathan D Wasserman, et al.
Pageof 15

Showing results (21-30 of 147) with videos related to

Sort By:
Pageof 15
Bioinformatics (Oxford, England)|March 10, 2019
Dr.VAE: improving drug response prediction via modeling of drug perturbation effectsLadislav Rampášek, Daniel Hidru, Petr Smirnov, et al.
Plos One|October 8, 2013
Identifying cancer specific functionally relevant miRNAs from gene expression and miRNA-to-gene networks using regularized regressionAziz M Mezlini, Bo Wang, Amit Deshwar, et al.
Bioinformatics (Oxford, England)|October 4, 2011
Unsupervised detection of genes of influence in lung cancer using biological networksAnna Goldenberg, Sara Mostafavi, Gerald Quon, et al.
Advances in Experimental Medicine and Biology|November 26, 2003
Mitochondrial complex II is essential for hypoxia-induced ROS generation and vasoconstriction in the pulmonary vasculatureRenate Paddenberg, Anna Goldenberg, Petra Faulhammer, et al.
Respiratory Research|July 1, 2006
Hypoxic vasoconstriction of partial muscular intra-acinar pulmonary arteries in murine precision cut lung slicesRenate Paddenberg, Peter König, Petra Faulhammer, et al.
Advances in Experimental Medicine and Biology|November 26, 2003
Role of ROS and NO in hypoxia-induced increase in tyrosine hydroxylase-messenger RNA in PC12 cellsWolfgang Kummer, Brigitte Höhler, Alexandra Sell, et al.
Frontiers in Genetics|May 24, 2019
To Embed or Not: Network Embedding as a Paradigm in Computational BiologyWalter Nelson, Marinka Zitnik, Bo Wang, et al.
Pulmonary Circulation|October 5, 2018
Hypoxia-induced pulmonary vasoconstriction of intra-acinar arteries is impaired in NADPH oxidase 4 gene-deficient miceGhulam Murtaza, Renate Paddenberg, Uwe Pfeil, et al.
Plos Computational Biology|October 13, 2017
Vicus: Exploiting local structures to improve network-based analysis of biological dataBo Wang, Lin Huang, Yuke Zhu, et al.
The Journal of Clinical Endocrinology and Metabolism|June 23, 2021
Predicting Malignancy in Pediatric Thyroid Nodules: Early Experience With Machine Learning for Clinical Decision SupportLebohang Radebe, Daniëlle C M van der Kaay, Jonathan D Wasserman, et al.
Pageof 15