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pro vyhledávání: '"KATZ, YARDEN"'
Probabilistic inference provides a language for describing how organisms may learn from and adapt to their environment. The computations needed to implement probabilistic inference often require specific representations, akin to having the suitable d
Externí odkaz:
http://arxiv.org/abs/1806.10161
Autor:
Katz, Yarden
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Brain and Cognitive Sciences, 2014.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collect
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collect
Externí odkaz:
http://hdl.handle.net/1721.1/89864
Autor:
Katz, Yarden, Wang, Eric T., Silterra, Jacob, Schwartz, Schraga, Wong, Bang, Mesirov, Jill P., Airoldi, Edoardo M., Burge, Christopher B.
We introduce Sashimi plots, a quantitative multi-sample visualization of mRNA sequencing reads aligned to gene annotations. Sashimi plots are made using alignments (stored in the SAM/BAM format) and gene model annotations (in GFF format), which can b
Externí odkaz:
http://arxiv.org/abs/1306.3466
Autor:
KATZ, YARDEN1
Publikováno v:
Monthly Review: An Independent Socialist Magazine. Sep2022, Vol. 74 Issue 4, p32-52. 21p.
Autor:
Katz, Yarden1 (AUTHOR) yarden.katz@gmail.com, Fontana, Walter2 (AUTHOR) yarden.katz@gmail.com
Publikováno v:
Entropy. May2022, Vol. 24 Issue 5, pN.PAG-N.PAG. 21p.
Publikováno v:
In Web Semantics: Science, Services and Agents on the World Wide Web 2007 5(2):51-53
Akademický článek
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Autor:
Katz, Yarden, Matter, Ulrich
Researchers and research institutes are increasingly being evaluated using metrics (from bibliometrics to patent counts), which are core instruments of a longstanding effort to quantify scientific productivity and worth. Here, we examine the relation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_________2::3ada6a05d8d849b132c95351c14c8014
http://www.alexandria.unisg.ch/252064/
http://www.alexandria.unisg.ch/252064/
Autor:
Katz, Yarden1,2, Wang, Eric T.2,3, Airoldi, Edoardo M.4 airoldi@fas.harvard.edu, Burge, Christopher B.2,5 cburge@mit.edu
Publikováno v:
Nature Methods. Dec2010, Vol. 7 Issue 12, p1009-1015. 7p. 5 Graphs.
Akademický článek
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