Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Mialy M DeFelice"'
Autor:
David A Van Valen, Takamasa Kudo, Keara M Lane, Derek N Macklin, Nicolas T Quach, Mialy M DeFelice, Inbal Maayan, Yu Tanouchi, Euan A Ashley, Markus W Covert
Publikováno v:
PLoS Computational Biology, Vol 12, Iss 11, p e1005177 (2016)
Live-cell imaging has opened an exciting window into the role cellular heterogeneity plays in dynamic, living systems. A major critical challenge for this class of experiments is the problem of image segmentation, or determining which parts of a micr
Externí odkaz:
https://doaj.org/article/fbd13d77eb8040efa67c729bc11bb083
Autor:
Markus W. Covert, Miriam V. Gutschow, Helen R. Clark, Mialy M. DeFelice, Jacob J. Hughey, Inbal Maayan, Takamasa Kudo, Sergi Regot
Publikováno v:
Science signaling. 12(579)
Over the last decade, multiple studies have shown that signaling proteins activated in different temporal patterns—such as oscillatory, transient, and sustained—can result in distinct gene expression patterns or cell fates. However, the molecular
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e40f11a2c8be52c7acbfb1e18359142
https://pubmed.ncbi.nlm.nih.gov/31040261
https://pubmed.ncbi.nlm.nih.gov/31040261
Autor:
Peter D. Karp, Inbal Maayan, Gwanggyu Sun, Sajia Akhter, Taryn E. Gillies, Daniel Weaver, Heejo Choi, Jerry H. Morrison, Samuel R. Bray, Ingrid M. Keseler, Morgan L. Paull, Ryan K. Spangler, Travis A. Ahn-Horst, Markus W. Covert, Nicholas A. Ruggero, Mialy M. DeFelice, John C. Mason, Javier Carrera, Derek N. Macklin, Keara Michelle Lane, Eran Agmon
Publikováno v:
Science. 369:eaav3751
The extensive heterogeneity of biological data poses challenges to analysis and interpretation. Construction of a large-scale mechanistic model of Escherichia coli enabled us to integrate and cross-evaluate a massive, heterogeneous dataset based on m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94b08b6985d35dcd7c31c99e05c62ffb
https://doi.org/10.1126/science.aav3751
https://doi.org/10.1126/science.aav3751
Autor:
Derek N, Macklin, Travis A, Ahn-Horst, Heejo, Choi, Nicholas A, Ruggero, Javier, Carrera, John C, Mason, Gwanggyu, Sun, Eran, Agmon, Mialy M, DeFelice, Inbal, Maayan, Keara, Lane, Ryan K, Spangler, Taryn E, Gillies, Morgan L, Paull, Sajia, Akhter, Samuel R, Bray, Daniel S, Weaver, Ingrid M, Keseler, Peter D, Karp, Jerry H, Morrison, Markus W, Covert
Publikováno v:
Science (New York, N.Y.). 369(6502)
The extensive heterogeneity of biological data poses challenges to analysis and interpretation. Construction of a large-scale mechanistic model of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::9276b425197d6724fbd306f575e1a3a3
https://pubmed.ncbi.nlm.nih.gov/32994565
https://pubmed.ncbi.nlm.nih.gov/32994565
Autor:
Keara Michelle Lane, Derek N. Macklin, Ambrose J. Carr, Dana Pe'er, David Van Valen, Takamasa Kudo, Ariel Jaimovich, Mialy M. DeFelice, Markus W. Covert, Stéphane C. Boutet, Tobias Meyer
Signaling proteins display remarkable cell-to-cell heterogeneity in their dynamic responses to stimuli, but the consequences of this heterogeneity remain largely unknown. For instance, the contribution of the dynamics of the innate immune transcripti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13596dab7d50f897dbbaf1ec183ddd50
https://resolver.caltech.edu/CaltechAUTHORS:20180613-110240953
https://resolver.caltech.edu/CaltechAUTHORS:20180613-110240953
Autor:
Nicolas Quach, Markus W. Covert, Takamasa Kudo, David Van Valen, Inbal Maayan, Euan A. Ashley, Keara Michelle Lane, Yu Tanouchi, Derek N. Macklin, Mialy M. DeFelice
Publikováno v:
PLoS Computational Biology
PLoS Computational Biology, Vol 12, Iss 11, p e1005177 (2016)
PLoS Computational Biology, Vol 12, Iss 11, p e1005177 (2016)
Live-cell imaging has opened an exciting window into the role cellular heterogeneity plays in dynamic, living systems. A major critical challenge for this class of experiments is the problem of image segmentation, or determining which parts of a micr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02940319140d5518d17fa351a799ce5d
https://pubmed.ncbi.nlm.nih.gov/27814364
https://pubmed.ncbi.nlm.nih.gov/27814364
Autor:
MOLHO, DYLAN, JIAYUAN DING, WENZ HUOTANG, ZHAOHENG LI, HONGZHI WEN, YIXIN WANG, VENEGAS, JULIAN, WEI JIN, RENMING LIU, RUNZE SU, DANAHER, PATRICK, YANG, ROBERT, YU LEO LEI, YUYING XIE, JILIANG TANG
Publikováno v:
ACM Transactions on Intelligent Systems & Technology; Jun2024, Vol. 15 Issue 3, p1-62, 62p
Autor:
Van Valen, David A.1, Kudo, Takamasa2, Lane, Keara M.1, Macklin, Derek N.1, Quach, Nicolas T.1, DeFelice, Mialy M.1, Maayan, Inbal1, Tanouchi, Yu1, Ashley, Euan A.3,4, Covert, Markus W.1,2 mcovert@stanford.edu
Publikováno v:
PLoS Computational Biology. 11/4/2016, Vol. 12 Issue 11, p1-24. 24p.
Autor:
DeFelice, Mialy M., Clark, Helen R., Hughey, Jacob J., Maayan, Inbal, Kudo, Takamasa, Gutschow, Miriam V., Covert, Markus W., Regot, Sergi
Publikováno v:
Science Signaling; 4/30/2019, Vol. 12 Issue 579, pN.PAG-N.PAG, 1p
Autor:
Sarah Naiyer
Transcriptomics refers to the study of the transcriptome, which is the complete set of RNA transcripts produced by the genome of a specific cell. This book provides an overview of the information that the transcriptome provides and how developments i