000 | 00992 a2200277 4500 | ||
---|---|---|---|
005 | 20250517085945.0 | ||
264 | 0 | _c20180131 | |
008 | 201801s 0 0 eng d | ||
022 | _a1095-9130 | ||
024 | 7 |
_a10.1016/j.ymeth.2016.02.019 _2doi |
|
040 |
_aNLM _beng _cNLM |
||
100 | 1 | _aLi, Chenhao | |
245 | 0 | 0 |
_aPredicting microbial interactions through computational approaches. _h[electronic resource] |
260 |
_bMethods (San Diego, Calif.) _c06 2016 |
||
300 |
_a12-9 p. _bdigital |
||
500 | _aPublication Type: Journal Article; Research Support, Non-U.S. Gov't | ||
650 | 0 | 4 | _aComputer Simulation |
650 | 0 | 4 |
_aData Mining _xmethods |
650 | 0 | 4 |
_aMetagenomics _xmethods |
650 | 0 | 4 | _aMicrobial Interactions |
700 | 1 | _aLim, Kun Ming Kenneth | |
700 | 1 | _aChng, Kern Rei | |
700 | 1 | _aNagarajan, Niranjan | |
773 | 0 |
_tMethods (San Diego, Calif.) _gvol. 102 _gp. 12-9 |
|
856 | 4 | 0 |
_uhttps://doi.org/10.1016/j.ymeth.2016.02.019 _zAvailable from publisher's website |
999 |
_c25874852 _d25874852 |