Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Marc, Berndl"'
Autor:
Sara Ahadi, Kenneth A Wilson, Boris Babenko, Cory Y McLean, Drew Bryant, Orion Pritchard, Ajay Kumar, Enrique M Carrera, Ricardo Lamy, Jay M Stewart, Avinash Varadarajan, Marc Berndl, Pankaj Kapahi, Ali Bashir
Publikováno v:
eLife, Vol 12 (2023)
Biological age, distinct from an individual’s chronological age, has been studied extensively through predictive aging clocks. However, these clocks have limited accuracy in short time-scales. Here we trained deep learning models on fundus images f
Externí odkaz:
https://doaj.org/article/5e3957048e414622924bbc137ebaf010
Autor:
Lauren Schiff, Bianca Migliori, Ye Chen, Deidre Carter, Caitlyn Bonilla, Jenna Hall, Minjie Fan, Edmund Tam, Sara Ahadi, Brodie Fischbacher, Anton Geraschenko, Christopher J. Hunter, Subhashini Venugopalan, Sean DesMarteau, Arunachalam Narayanaswamy, Selwyn Jacob, Zan Armstrong, Peter Ferrarotto, Brian Williams, Geoff Buckley-Herd, Jon Hazard, Jordan Goldberg, Marc Coram, Reid Otto, Edward A. Baltz, Laura Andres-Martin, Orion Pritchard, Alyssa Duren-Lubanski, Ameya Daigavane, Kathryn Reggio, NYSCF Global Stem Cell Array® Team, Phillip C. Nelson, Michael Frumkin, Susan L. Solomon, Lauren Bauer, Raeka S. Aiyar, Elizabeth Schwarzbach, Scott A. Noggle, Frederick J. Monsma, Daniel Paull, Marc Berndl, Samuel J. Yang, Bjarki Johannesson
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-13 (2022)
By coupling robotic cell culture systems with artificial intelligence–powered image analysis, Schiff et al. identify previously unseen characteristics of Parkinson’s disease in patient skin cells that distinguish them from healthy controls.
Externí odkaz:
https://doaj.org/article/9d8265097577462f83aa83bf77ad2240
Autor:
Michael Gibbons, Jessica M. Hong, Mikelle Foster, Mariya Chavarha, Shirley Shao, Llyke Ching, Victoria A. Church, Lauren Schiff, Sara Ahadi, Marc Berndl, Phillip Jess, Annalisa Pawlosky
Publikováno v:
STAR Protocols, Vol 3, Iss 4, Pp 101829- (2022)
Summary: Large-scale, high-throughput specificity assays to characterize binding properties within a competitive and complex environment of potential binder-target pairs remain challenging and cost prohibitive. Barcode cycle sequencing (BCS) is a mol
Externí odkaz:
https://doaj.org/article/7baaac30552744c69d33d8a5256b7b47
Autor:
Zachary William Cutts, Jessica M. Hong, Shirley Shao, Alexander Tran, Michelle Dimon, Marc Berndl, Diana Wu, Annalisa Pawlosky
Publikováno v:
STAR Protocols, Vol 3, Iss 4, Pp 101724- (2022)
Summary: Systematic evolution of ligands by exponential enrichment (SELEX) encompasses a wide variety of high-throughput screening techniques for producing nucleic acid binders to molecular targets through directed evolution. We describe here the des
Externí odkaz:
https://doaj.org/article/c41498b3f82949cca8de45575438212d
Autor:
Ali Bashir, Qin Yang, Jinpeng Wang, Stephan Hoyer, Wenchuan Chou, Cory McLean, Geoff Davis, Qiang Gong, Zan Armstrong, Junghoon Jang, Hui Kang, Annalisa Pawlosky, Alexander Scott, George E. Dahl, Marc Berndl, Michelle Dimon, B. Scott Ferguson
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-11 (2021)
Current aptamer discovery approaches are unable to probe the complete space of possible sequences. Here, the authors use machine learning to facilitate the development of DNA aptamers with improved binding affinities, and truncate them without signif
Externí odkaz:
https://doaj.org/article/9508da0079cf405d9f6f644c1119f62f
Autor:
Sean R Hackett, Edward A Baltz, Marc Coram, Bernd J Wranik, Griffin Kim, Adam Baker, Minjie Fan, David G Hendrickson, Marc Berndl, R Scott McIsaac
Publikováno v:
Molecular Systems Biology, Vol 16, Iss 3, Pp 1-15 (2020)
Abstract We present IDEA (the Induction Dynamics gene Expression Atlas), a dataset constructed by independently inducing hundreds of transcription factors (TFs) and measuring timecourses of the resulting gene expression responses in budding yeast. Ea
Externí odkaz:
https://doaj.org/article/125e6c555f5c44159a2e5b080a1df5ca
Autor:
Jessica M. Hong, Michael Gibbons, Ali Bashir, Diana Wu, Shirley Shao, Zachary Cutts, Mariya Chavarha, Ye Chen, Lauren Schiff, Mikelle Foster, Victoria A. Church, Llyke Ching, Sara Ahadi, Anna Hieu-Thao Le, Alexander Tran, Michelle Dimon, Marc Coram, Brian Williams, Phillip Jess, Marc Berndl, Annalisa Pawlosky
Publikováno v:
iScience, Vol 25, Iss 1, Pp 103586- (2022)
Summary: We demonstrate early progress toward constructing a high-throughput, single-molecule protein sequencing technology utilizing barcoded DNA aptamers (binders) to recognize terminal amino acids of peptides (targets) tethered on a next-generatio
Externí odkaz:
https://doaj.org/article/786a671f9e514bcb966ab72084b98506
Autor:
Samuel J. Yang, Marc Berndl, D. Michael Ando, Mariya Barch, Arunachalam Narayanaswamy, Eric Christiansen, Stephan Hoyer, Chris Roat, Jane Hung, Curtis T. Rueden, Asim Shankar, Steven Finkbeiner, Philip Nelson
Publikováno v:
BMC Bioinformatics, Vol 19, Iss 1, Pp 1-9 (2018)
Abstract Background Large image datasets acquired on automated microscopes typically have some fraction of low quality, out-of-focus images, despite the use of hardware autofocus systems. Identification of these images using automated image analysis
Externí odkaz:
https://doaj.org/article/5d2ce73d279747d2bfbef81a96bfc6be
Autor:
Sara Ahadi, Kenneth A Wilson, Boris Babenko, Cory Y McLean, Drew Bryant, Orion Pritchard, Ajay Kumar, Enrique M Carrera, Ricardo Lamy, Jay M Stewart, Avinash Varadarajan, Marc Berndl, Pankaj Kapahi, Ali Bashir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::921a96029ee79f3a8ab24d7e8e6eebb3
https://doi.org/10.7554/elife.82364.sa2
https://doi.org/10.7554/elife.82364.sa2
Autor:
Sara Ahadi, Kenneth A. Wilson, Boris Babenko, Cory Y. McLean, Drew Bryant, Orion Pritchard, Enrique M. Carrera, Ricardo Lamy, Jay M. Stewart, Avinash Varadarajan, Marc Berndl, Pankaj Kapahi, Ali Bashir
Biological age, distinct from an individual’s chronological age, has been studied extensively through predictive aging clocks. However, these clocks have limited accuracy in short time-scales. Deep learning approaches on imaging datasets of the eye
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14ae9a26fb9b90604a9a328664d73cb9
https://doi.org/10.1101/2022.07.25.501485
https://doi.org/10.1101/2022.07.25.501485