Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Deepika Vatsa"'
Autor:
Deepika Vatsa, Sumeet Agarwal
Publikováno v:
PLoS ONE, Vol 16, Iss 5, p e0251666 (2021)
The inference of gene regulatory networks (GRNs) from expression data is a challenging problem in systems biology. The stochasticity or fluctuations in the biochemical processes that regulate the transcription process poses as one of the major challe
Externí odkaz:
https://doaj.org/article/d704d6a144d74dddba90bf834e8a6246
Publikováno v:
2023 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e34a071d3f6dc3914bd01737367c2d0
https://doi.org/10.1109/iccike58312.2023.10131865
https://doi.org/10.1109/iccike58312.2023.10131865
Autor:
Samya Muhuri, Deepika Vatsa
Publikováno v:
Proceedings of Data Analytics and Management ISBN: 9789811976148
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5cf616a31319f3d0409c80bb012681bb
https://doi.org/10.1007/978-981-19-7615-5_21
https://doi.org/10.1007/978-981-19-7615-5_21
Autor:
Sumeet Agarwal, Deepika Vatsa
Publikováno v:
PLoS ONE
PLoS ONE, Vol 16, Iss 5, p e0251666 (2021)
PLoS ONE, Vol 16, Iss 5, p e0251666 (2021)
The inference of gene regulatory networks (GRNs) from expression data is a challenging problem in systems biology. The stochasticity or fluctuations in the biochemical processes that regulate the transcription process poses as one of the major challe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::519e77e071e9f380e4fbe09279b24e13
https://doi.org/10.1371/journal.pone.0251666
https://doi.org/10.1371/journal.pone.0251666
Publikováno v:
CODS
In this paper, we present an extended 2-step probabilistic LGTS (PLGTS) transition system which aims to identify the network structure and stochastic nature of biological processes using time series data. This work is a step towards system identifica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e8dd6089857d6daf4b71cd20574fbf7
https://doi.org/10.1145/2888451.2888469
https://doi.org/10.1145/2888451.2888469
Publikováno v:
Inductive Logic Programming ISBN: 9783319405650
ILP
ILP
The identification of transition models of biological systems (Petri net models, for example) in noisy environments has not been examined to any significant extent, although they have been used to model the ideal behaviour of metabolic, signalling an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08e4a75ec908e890deaa9370a1e2caf9
https://doi.org/10.1007/978-3-319-40566-7_14
https://doi.org/10.1007/978-3-319-40566-7_14
Autor:
Ankita Gupta, Om Prakash Verma, Anil Singh Parihar, Amoiy Kumar, Prerana Mukherjee, Deepika Vatsa
Publikováno v:
2013 IEEE International Conference on Technologies for Homeland Security (HST).
In this paper, feature extraction and authentication scenarios for contact-based and contact-less palmprint images are investigated. The point-based feature extraction techniques like: Scale Invariant Feature Transform (SIFT), Harris corner detector,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1b87f7c0b78793150d03f1c45ea736c
https://doi.org/10.1109/ths.2013.6698994
https://doi.org/10.1109/ths.2013.6698994