Epistatic interactions found by Epi-SSA (n = 600 maxG = 800000).
<p>Epistatic interactions found by Epi-SSA (n = 600 maxG = 800000).</p>
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | , , , |
| Published: |
2024
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1852025694763089920 |
|---|---|
| author | Liyan Sun (760586) |
| author2 | Jingwen Bian (19942771) Yi Xin (146413) Linqing Jiang (19942774) Linxuan Zheng (19942777) |
| author2_role | author author author author |
| author_facet | Liyan Sun (760586) Jingwen Bian (19942771) Yi Xin (146413) Linqing Jiang (19942774) Linxuan Zheng (19942777) |
| author_role | author |
| dc.creator.none.fl_str_mv | Liyan Sun (760586) Jingwen Bian (19942771) Yi Xin (146413) Linqing Jiang (19942774) Linxuan Zheng (19942777) |
| dc.date.none.fl_str_mv | 2024-10-24T17:48:58Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0311223.s042 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/Epistatic_interactions_found_by_Epi-SSA_n_600_maxG_800000_/27295453 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biochemistry Genetics Molecular Biology Cancer Computational Biology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified sparrow search algorithm multiple objective functions experimental results demonstrate comparative toxicogenomics database alongside 800 case algorithms &# 8217 800 control samples detecting epistatic interactions ssa draws inspiration ssa algorithm outperforms exploring complex diseases xlink "> genome uncovering numerous genes order epistatic interactions highest average f data set increases seven complex diseases epistasis detection tasks dnme 100 datasets complex diseases xlink "> data increases average f detecting epistasis dnme 100 five datasets dnme 1000 order epistasis epistasis rises dnme3 100 dme 100 wtccc dataset source code six third significant role relatedly reported properties consistent potent tool population based otherwise paralleling might play marginal effects identifying higher higher level gene pairs dme 1000 detect high ctd ). crucial factor comprehensive comparison better utilized aids us 6sqwj /</ |
| dc.title.none.fl_str_mv | Epistatic interactions found by Epi-SSA (n = 600 maxG = 800000). |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | <p>Epistatic interactions found by Epi-SSA (n = 600 maxG = 800000).</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_827705e2d219c3a6afc8ea0db0f689f8 |
| identifier_str_mv | 10.1371/journal.pone.0311223.s042 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/27295453 |
| publishDate | 2024 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Epistatic interactions found by Epi-SSA (n = 600 maxG = 800000).Liyan Sun (760586)Jingwen Bian (19942771)Yi Xin (146413)Linqing Jiang (19942774)Linxuan Zheng (19942777)BiochemistryGeneticsMolecular BiologyCancerComputational BiologyBiological Sciences not elsewhere classifiedMathematical Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedsparrow search algorithmmultiple objective functionsexperimental results demonstratecomparative toxicogenomics databasealongside 800 casealgorithms &# 8217800 control samplesdetecting epistatic interactionsssa draws inspirationssa algorithm outperformsexploring complex diseasesxlink "> genomeuncovering numerous genesorder epistatic interactionshighest average fdata set increasesseven complex diseasesepistasis detection tasksdnme 100 datasetscomplex diseasesxlink ">data increasesaverage fdetecting epistasisdnme 100five datasetsdnme 1000order epistasisepistasis risesdnme3 100dme 100wtccc datasetsource codesix thirdsignificant rolerelatedly reportedproperties consistentpotent toolpopulation basedotherwise parallelingmight playmarginal effectsidentifying higherhigher levelgene pairsdme 1000detect highctd ).crucial factorcomprehensive comparisonbetter utilizedaids us6sqwj /</<p>Epistatic interactions found by Epi-SSA (n = 600 maxG = 800000).</p>2024-10-24T17:48:58ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.1371/journal.pone.0311223.s042https://figshare.com/articles/dataset/Epistatic_interactions_found_by_Epi-SSA_n_600_maxG_800000_/27295453CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/272954532024-10-24T17:48:58Z |
| spellingShingle | Epistatic interactions found by Epi-SSA (n = 600 maxG = 800000). Liyan Sun (760586) Biochemistry Genetics Molecular Biology Cancer Computational Biology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified sparrow search algorithm multiple objective functions experimental results demonstrate comparative toxicogenomics database alongside 800 case algorithms &# 8217 800 control samples detecting epistatic interactions ssa draws inspiration ssa algorithm outperforms exploring complex diseases xlink "> genome uncovering numerous genes order epistatic interactions highest average f data set increases seven complex diseases epistasis detection tasks dnme 100 datasets complex diseases xlink "> data increases average f detecting epistasis dnme 100 five datasets dnme 1000 order epistasis epistasis rises dnme3 100 dme 100 wtccc dataset source code six third significant role relatedly reported properties consistent potent tool population based otherwise paralleling might play marginal effects identifying higher higher level gene pairs dme 1000 detect high ctd ). crucial factor comprehensive comparison better utilized aids us 6sqwj /</ |
| status_str | publishedVersion |
| title | Epistatic interactions found by Epi-SSA (n = 600 maxG = 800000). |
| title_full | Epistatic interactions found by Epi-SSA (n = 600 maxG = 800000). |
| title_fullStr | Epistatic interactions found by Epi-SSA (n = 600 maxG = 800000). |
| title_full_unstemmed | Epistatic interactions found by Epi-SSA (n = 600 maxG = 800000). |
| title_short | Epistatic interactions found by Epi-SSA (n = 600 maxG = 800000). |
| title_sort | Epistatic interactions found by Epi-SSA (n = 600 maxG = 800000). |
| topic | Biochemistry Genetics Molecular Biology Cancer Computational Biology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified sparrow search algorithm multiple objective functions experimental results demonstrate comparative toxicogenomics database alongside 800 case algorithms &# 8217 800 control samples detecting epistatic interactions ssa draws inspiration ssa algorithm outperforms exploring complex diseases xlink "> genome uncovering numerous genes order epistatic interactions highest average f data set increases seven complex diseases epistasis detection tasks dnme 100 datasets complex diseases xlink "> data increases average f detecting epistasis dnme 100 five datasets dnme 1000 order epistasis epistasis rises dnme3 100 dme 100 wtccc dataset source code six third significant role relatedly reported properties consistent potent tool population based otherwise paralleling might play marginal effects identifying higher higher level gene pairs dme 1000 detect high ctd ). crucial factor comprehensive comparison better utilized aids us 6sqwj /</ |