WSINDy results.
<p>Typical results of using the WSINDy algorithm for the linear models in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1013742#pcbi.1013742.t002" target="_blank">Table 2</a> with libraries presented in <a href="http://www.pl...
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2025
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| _version_ | 1852014104388042752 |
|---|---|
| author | Rainey Lyons (22806496) |
| author2 | Vanja Dukic (785165) David M. Bortz (22806499) |
| author2_role | author author |
| author_facet | Rainey Lyons (22806496) Vanja Dukic (785165) David M. Bortz (22806499) |
| author_role | author |
| dc.creator.none.fl_str_mv | Rainey Lyons (22806496) Vanja Dukic (785165) David M. Bortz (22806499) |
| dc.date.none.fl_str_mv | 2025-12-08T18:37:26Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pcbi.1013742.s003 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/WSINDy_results_/30825655 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Genetics Ecology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified xlink "> characteristics paper presents extensions helps fine tune computationally intensive process several standard models series histogram data method &# 8217 model structured populations wsindy </ p structured models populations change model directly validation method particular focus mortality rates key role heterogeneous across fitting ingredients boundary processes based method also learning additionally incorporate |
| dc.title.none.fl_str_mv | WSINDy results. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <p>Typical results of using the WSINDy algorithm for the linear models in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1013742#pcbi.1013742.t002" target="_blank">Table 2</a> with libraries presented in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1013742#pcbi.1013742.t003" target="_blank">Table 3</a>, , and 50 points in time.</p> <p>(EPS)</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_cc772d4e9bf68a1463df6a5ca7e32c99 |
| identifier_str_mv | 10.1371/journal.pcbi.1013742.s003 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/30825655 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | WSINDy results.Rainey Lyons (22806496)Vanja Dukic (785165)David M. Bortz (22806499)GeneticsEcologyBiological Sciences not elsewhere classifiedMathematical Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedxlink "> characteristicspaper presents extensionshelps fine tunecomputationally intensive processseveral standard modelsseries histogram datamethod &# 8217model structured populationswsindy </ pstructured modelspopulations changemodel directlyvalidation methodparticular focusmortality rateskey roleheterogeneous acrossfitting ingredientsboundary processesbased methodalso learningadditionally incorporate<p>Typical results of using the WSINDy algorithm for the linear models in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1013742#pcbi.1013742.t002" target="_blank">Table 2</a> with libraries presented in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1013742#pcbi.1013742.t003" target="_blank">Table 3</a>, , and 50 points in time.</p> <p>(EPS)</p>2025-12-08T18:37:26ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pcbi.1013742.s003https://figshare.com/articles/figure/WSINDy_results_/30825655CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/308256552025-12-08T18:37:26Z |
| spellingShingle | WSINDy results. Rainey Lyons (22806496) Genetics Ecology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified xlink "> characteristics paper presents extensions helps fine tune computationally intensive process several standard models series histogram data method &# 8217 model structured populations wsindy </ p structured models populations change model directly validation method particular focus mortality rates key role heterogeneous across fitting ingredients boundary processes based method also learning additionally incorporate |
| status_str | publishedVersion |
| title | WSINDy results. |
| title_full | WSINDy results. |
| title_fullStr | WSINDy results. |
| title_full_unstemmed | WSINDy results. |
| title_short | WSINDy results. |
| title_sort | WSINDy results. |
| topic | Genetics Ecology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified xlink "> characteristics paper presents extensions helps fine tune computationally intensive process several standard models series histogram data method &# 8217 model structured populations wsindy </ p structured models populations change model directly validation method particular focus mortality rates key role heterogeneous across fitting ingredients boundary processes based method also learning additionally incorporate |