000 | 01360 a2200385 4500 | ||
---|---|---|---|
005 | 20250518004838.0 | ||
264 | 0 | _c20190221 | |
008 | 201902s 0 0 eng d | ||
022 | _a2515-4184 | ||
024 | 7 |
_a10.1039/c8mo00095f _2doi |
|
040 |
_aNLM _beng _cNLM |
||
100 | 1 | _aFürtauer, Lisa | |
245 | 0 | 0 |
_aCombined multivariate analysis and machine learning reveals a predictive module of metabolic stress response in Arabidopsis thaliana. _h[electronic resource] |
260 |
_bMolecular omics _c12 2018 |
||
300 |
_a437-449 p. _bdigital |
||
500 | _aPublication Type: Journal Article; Research Support, Non-U.S. Gov't | ||
650 | 0 | 4 | _aAnalysis of Variance |
650 | 0 | 4 |
_aArabidopsis _xgenetics |
650 | 0 | 4 | _aCell Line |
650 | 0 | 4 |
_aChlorophyll _xmetabolism |
650 | 0 | 4 |
_aComputational Biology _xmethods |
650 | 0 | 4 | _aMachine Learning |
650 | 0 | 4 |
_aMetabolomics _xmethods |
650 | 0 | 4 | _aMultivariate Analysis |
650 | 0 | 4 | _aMutation |
650 | 0 | 4 |
_aPhosphoglucomutase _xdeficiency |
650 | 0 | 4 | _aStress, Physiological |
650 | 0 | 4 |
_aSucrose _xmetabolism |
700 | 1 | _aPschenitschnigg, Alice | |
700 | 1 | _aScharkosi, Helene | |
700 | 1 | _aWeckwerth, Wolfram | |
700 | 1 | _aNägele, Thomas | |
773 | 0 |
_tMolecular omics _gvol. 14 _gno. 6 _gp. 437-449 |
|
856 | 4 | 0 |
_uhttps://doi.org/10.1039/c8mo00095f _zAvailable from publisher's website |
999 |
_c29003970 _d29003970 |