Zobrazeno 1 - 10
of 152
pro vyhledávání: '"Anne Condon"'
Interpretable dimensionality reduction of single cell transcriptome data with deep generative models
Publikováno v:
Nature Communications, Vol 9, Iss 1, Pp 1-13 (2018)
Although single-cell transcriptome data are increasingly available, their interpretation remains a challenge. Here, the authors present a dimensionality reduction approach that preserves both the local and global neighbourhood structures in the data
Externí odkaz:
https://doaj.org/article/374e2f7ee4b743cebc2a0022380ea83b
Publikováno v:
Discrete Applied Mathematics. 337:81-105
For unweighted graphs, finding isometric embeddings is closely related to decompositions of $G$ into Cartesian products of smaller graphs. When $G$ is isomorphic to a Cartesian graph product, we call the factors of this product a factorization of $G$
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d605c72346181e1e6ed9ed69dfb4a535
https://doi.org/10.1016/j.dam.2023.04.019
https://doi.org/10.1016/j.dam.2023.04.019
Publikováno v:
Computational Biology and Chemistry. 104:107837
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3818444b2189caa930bca56bde567b00
https://doi.org/10.1016/j.compbiolchem.2023.107837
https://doi.org/10.1016/j.compbiolchem.2023.107837
A mapping $\alpha : V(G) \to V(H)$ from the vertex set of one graph $G$ to another graph $H$ is an isometric embedding if the shortest path distance between any two vertices in $G$ equals the distance between their images in $H$. Here, we consider is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8995584e08b21dd66c6a5a79f9f76add
http://arxiv.org/abs/2112.06994
http://arxiv.org/abs/2112.06994
Publikováno v:
Natural Computing. 19:249-270
Approximate Majority is a well-studied problem in the context of chemical reaction networks (CRNs) and their close relatives, population protocols: Given a mixture of two types of species with an initial gap between their counts, a CRN computation mu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::527c99aa0f9400937f6df325584b982e
https://doi.org/10.1007/s11047-019-09756-4
https://doi.org/10.1007/s11047-019-09756-4
Publikováno v:
Natural Computing
A major goal of natural computing is to design biomolecules, such as nucleic acid sequences, that can be used to perform computations. We design sequences of nucleic acids that are “guaranteed” to have long folding pathways relative to their leng
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a2d43d0e57ba5b44c73ef1c05afbb09
https://doi.org/10.1007/s11047-016-9587-9
https://doi.org/10.1007/s11047-016-9587-9
Autor:
Chris Thachuk, Anne Condon
Publikováno v:
The Energetics of Computing in Life and Machines
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1dfa5cbb3175d817dda80d8e62e1a659
https://doi.org/10.37911/9781947864078.08
https://doi.org/10.37911/9781947864078.08
Autor:
Erik Winfree, Sedigheh Zolaktaf, Frits Dannenberg, Mark Schmidt, Alexandre Bouchard-Côté, Anne Condon
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030268060
DNA
DNA
Nucleic acid kinetic simulators aim to predict the kinetics of interacting nucleic acid strands. Many simulators model the kinetics of interacting nucleic acid strands as continuous-time Markov chains (CTMCs). States of the CTMCs represent a collecti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::001e5f04f3ef6b1e4b40d47d38e97d0d
https://doi.org/10.1007/978-3-030-26807-7_5
https://doi.org/10.1007/978-3-030-26807-7_5
Autor:
Allison Tai, Anne Condon
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030268060
DNA
DNA
When disallowing error, traditional chemical reaction networks (CRNs) are very limited in computational power: Angluin et al. and Chen et al. showed that only semilinear predicates and functions are stably computable by CRNs. Qian et al. and others h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15557b24d514a32abb4e3c0ef972674b
https://doi.org/10.1007/978-3-030-26807-7_11
https://doi.org/10.1007/978-3-030-26807-7_11
Autor:
Tsvi Tlusty, Hélène Kirchner, Damien Larivière, Wallace F. Marshall, Anne Condon, Eric Fourmentin, Vincent Noireaux
Publikováno v:
EMBO reports, vol 19, iss 9
EMBO Reports (2018) e46628 The idea that living systems could be understood and described as information‐processing systems has been around even before the first computers were built. From Alan Turing's considerable paper in 1936 to Erwin Schroding
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64ec57aca5384fd205b38dcd73418383
https://escholarship.org/uc/item/2cs2r86s
https://escholarship.org/uc/item/2cs2r86s