| 000 | 01135 a2200349 4500 | ||
|---|---|---|---|
| 005 | 20250518060638.0 | ||
| 264 | 0 | _c20191108 | |
| 008 | 201911s 0 0 eng d | ||
| 022 | _a1471-2105 | ||
| 024 | 7 |
_a10.1186/s12859-019-3010-3 _2doi |
|
| 040 |
_aNLM _beng _cNLM |
||
| 100 | 1 | _aMüller, Paul | |
| 245 | 0 | 0 |
_ananite: using machine learning to assess the quality of atomic force microscopy-enabled nano-indentation data. _h[electronic resource] |
| 260 |
_bBMC bioinformatics _cSep 2019 |
||
| 300 |
_a465 p. _bdigital |
||
| 500 | _aPublication Type: Journal Article | ||
| 650 | 0 | 4 | _aAnimals |
| 650 | 0 | 4 | _aAutomation |
| 650 | 0 | 4 | _aData Accuracy |
| 650 | 0 | 4 | _aMachine Learning |
| 650 | 0 | 4 | _aMicroscopy, Atomic Force |
| 650 | 0 | 4 | _aNanotechnology |
| 650 | 0 | 4 | _aSoftware |
| 650 | 0 | 4 | _aZebrafish |
| 700 | 1 | _aAbuhattum, Shada | |
| 700 | 1 | _aMöllmert, Stephanie | |
| 700 | 1 | _aUlbricht, Elke | |
| 700 | 1 | _aTaubenberger, Anna V | |
| 700 | 1 | _aGuck, Jochen | |
| 773 | 0 |
_tBMC bioinformatics _gvol. 20 _gno. 1 _gp. 465 |
|
| 856 | 4 | 0 |
_uhttps://doi.org/10.1186/s12859-019-3010-3 _zAvailable from publisher's website |
| 999 |
_c30091940 _d30091940 |
||