| 000 | 01023 a2200265 4500 | ||
|---|---|---|---|
| 005 | 20250516160154.0 | ||
| 264 | 0 | _c20140117 | |
| 008 | 201401s 0 0 eng d | ||
| 022 | _a1553-7358 | ||
| 024 | 7 |
_a10.1371/journal.pcbi.1003101 _2doi |
|
| 040 |
_aNLM _beng _cNLM |
||
| 100 | 1 | _aHoffman, Gabriel E | |
| 245 | 0 | 0 |
_aPUMA: a unified framework for penalized multiple regression analysis of GWAS data. _h[electronic resource] |
| 260 |
_bPLoS computational biology _c2013 |
||
| 300 |
_ae1003101 p. _bdigital |
||
| 500 | _aPublication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S. | ||
| 650 | 0 | 4 | _aGenome-Wide Association Study |
| 650 | 0 | 4 | _aHumans |
| 650 | 0 | 4 | _aModels, Theoretical |
| 650 | 0 | 4 | _aRegression Analysis |
| 700 | 1 | _aLogsdon, Benjamin A | |
| 700 | 1 | _aMezey, Jason G | |
| 773 | 0 |
_tPLoS computational biology _gvol. 9 _gno. 6 _gp. e1003101 |
|
| 856 | 4 | 0 |
_uhttps://doi.org/10.1371/journal.pcbi.1003101 _zAvailable from publisher's website |
| 999 |
_c22890889 _d22890889 |
||