Reconstruction quality of a biological network when its constituting elements are partially observed
International audience Unravelling regulatory regulations between biological entities is of utmost importance to understand the functioning of living organisms. As the number of available samples is often very low (often less than one hundred), inference methods are frequently performed on a subset...
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ftccsdartic:oai:HAL:hal-00982758v1 2023-05-15T16:48:36+02:00 Reconstruction quality of a biological network when its constituting elements are partially observed Picheny, Victor Vandel, Jimmy Vignes, Matthieu Villa-Vialaneix, Nathalie Mathématiques et Informatique Appliquées de Toulouse (MIAT) Institut National de la Recherche Agronomique (INRA) Reykjavik, Iceland 2014-04-22 https://hal.archives-ouvertes.fr/hal-00982758 https://hal.archives-ouvertes.fr/hal-00982758/document https://hal.archives-ouvertes.fr/hal-00982758/file/picheny_etal_IASTAT2014.pdf en eng HAL CCSD hal-00982758 https://hal.archives-ouvertes.fr/hal-00982758 https://hal.archives-ouvertes.fr/hal-00982758/document https://hal.archives-ouvertes.fr/hal-00982758/file/picheny_etal_IASTAT2014.pdf info:eu-repo/semantics/OpenAccess Proceedings of Seventeenth International Conference on Artificial Intelligence and Statistics (AI & Statistics 2014) Seventeenth International Conference on Artificial Intelligence and Statistics (AI & Statistics 2014) https://hal.archives-ouvertes.fr/hal-00982758 Seventeenth International Conference on Artificial Intelligence and Statistics (AI & Statistics 2014), Apr 2014, Reykjavik, Iceland. pp.L014 [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST] [STAT.TH]Statistics [stat]/Statistics Theory [stat.TH] info:eu-repo/semantics/conferenceObject Conference papers 2014 ftccsdartic 2020-12-25T23:33:52Z International audience Unravelling regulatory regulations between biological entities is of utmost importance to understand the functioning of living organisms. As the number of available samples is often very low (often less than one hundred), inference methods are frequently performed on a subset of variables which make sense in the mechanisms under study. Classical remedies are either data driven (e.g., differentially expressed genes) or knowledge driven (e.g., using ontology information). However, whatever the chosen solution, important variables are very likely missed by the selection process, which is the issue at stake in the present paper. Conference Object Iceland Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) |
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Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) |
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language |
English |
topic |
[MATH.MATH-ST]Mathematics [math]/Statistics [math.ST] [STAT.TH]Statistics [stat]/Statistics Theory [stat.TH] |
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[MATH.MATH-ST]Mathematics [math]/Statistics [math.ST] [STAT.TH]Statistics [stat]/Statistics Theory [stat.TH] Picheny, Victor Vandel, Jimmy Vignes, Matthieu Villa-Vialaneix, Nathalie Reconstruction quality of a biological network when its constituting elements are partially observed |
topic_facet |
[MATH.MATH-ST]Mathematics [math]/Statistics [math.ST] [STAT.TH]Statistics [stat]/Statistics Theory [stat.TH] |
description |
International audience Unravelling regulatory regulations between biological entities is of utmost importance to understand the functioning of living organisms. As the number of available samples is often very low (often less than one hundred), inference methods are frequently performed on a subset of variables which make sense in the mechanisms under study. Classical remedies are either data driven (e.g., differentially expressed genes) or knowledge driven (e.g., using ontology information). However, whatever the chosen solution, important variables are very likely missed by the selection process, which is the issue at stake in the present paper. |
author2 |
Mathématiques et Informatique Appliquées de Toulouse (MIAT) Institut National de la Recherche Agronomique (INRA) |
format |
Conference Object |
author |
Picheny, Victor Vandel, Jimmy Vignes, Matthieu Villa-Vialaneix, Nathalie |
author_facet |
Picheny, Victor Vandel, Jimmy Vignes, Matthieu Villa-Vialaneix, Nathalie |
author_sort |
Picheny, Victor |
title |
Reconstruction quality of a biological network when its constituting elements are partially observed |
title_short |
Reconstruction quality of a biological network when its constituting elements are partially observed |
title_full |
Reconstruction quality of a biological network when its constituting elements are partially observed |
title_fullStr |
Reconstruction quality of a biological network when its constituting elements are partially observed |
title_full_unstemmed |
Reconstruction quality of a biological network when its constituting elements are partially observed |
title_sort |
reconstruction quality of a biological network when its constituting elements are partially observed |
publisher |
HAL CCSD |
publishDate |
2014 |
url |
https://hal.archives-ouvertes.fr/hal-00982758 https://hal.archives-ouvertes.fr/hal-00982758/document https://hal.archives-ouvertes.fr/hal-00982758/file/picheny_etal_IASTAT2014.pdf |
op_coverage |
Reykjavik, Iceland |
genre |
Iceland |
genre_facet |
Iceland |
op_source |
Proceedings of Seventeenth International Conference on Artificial Intelligence and Statistics (AI & Statistics 2014) Seventeenth International Conference on Artificial Intelligence and Statistics (AI & Statistics 2014) https://hal.archives-ouvertes.fr/hal-00982758 Seventeenth International Conference on Artificial Intelligence and Statistics (AI & Statistics 2014), Apr 2014, Reykjavik, Iceland. pp.L014 |
op_relation |
hal-00982758 https://hal.archives-ouvertes.fr/hal-00982758 https://hal.archives-ouvertes.fr/hal-00982758/document https://hal.archives-ouvertes.fr/hal-00982758/file/picheny_etal_IASTAT2014.pdf |
op_rights |
info:eu-repo/semantics/OpenAccess |
_version_ |
1766038673693868032 |