| 000 | 01499 a2200397 4500 | ||
|---|---|---|---|
| 005 | 20250518094907.0 | ||
| 264 | 0 | _c20200720 | |
| 008 | 202007s 0 0 eng d | ||
| 022 | _a1553-7358 | ||
| 024 | 7 |
_a10.1371/journal.pcbi.1007792 _2doi |
|
| 040 |
_aNLM _beng _cNLM |
||
| 100 | 1 | _aAnguita-Ruiz, Augusto | |
| 245 | 0 | 0 |
_aeXplainable Artificial Intelligence (XAI) for the identification of biologically relevant gene expression patterns in longitudinal human studies, insights from obesity research. _h[electronic resource] |
| 260 |
_bPLoS computational biology _c04 2020 |
||
| 300 |
_ae1007792 p. _bdigital |
||
| 500 | _aPublication Type: Journal Article; Research Support, Non-U.S. Gov't | ||
| 650 | 0 | 4 | _aAlgorithms |
| 650 | 0 | 4 |
_aArtificial Intelligence _xtrends |
| 650 | 0 | 4 |
_aComputational Biology _xmethods |
| 650 | 0 | 4 |
_aData Mining _xmethods |
| 650 | 0 | 4 | _aDatabases, Genetic |
| 650 | 0 | 4 |
_aGene Expression _xgenetics |
| 650 | 0 | 4 |
_aGene Expression Profiling _xmethods |
| 650 | 0 | 4 | _aHumans |
| 650 | 0 | 4 | _aLongitudinal Studies |
| 650 | 0 | 4 | _aMachine Learning |
| 650 | 0 | 4 |
_aObesity _xgenetics |
| 650 | 0 | 4 | _aSoftware |
| 650 | 0 | 4 |
_aTranscriptome _xgenetics |
| 700 | 1 | _aSegura-Delgado, Alberto | |
| 700 | 1 | _aAlcalá, Rafael | |
| 700 | 1 | _aAguilera, Concepción M | |
| 700 | 1 | _aAlcalá-Fdez, Jesús | |
| 773 | 0 |
_tPLoS computational biology _gvol. 16 _gno. 4 _gp. e1007792 |
|
| 856 | 4 | 0 |
_uhttps://doi.org/10.1371/journal.pcbi.1007792 _zAvailable from publisher's website |
| 999 |
_c30842972 _d30842972 |
||