000 | 01300 a2200349 4500 | ||
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005 | 20250515200729.0 | ||
264 | 0 | _c20100222 | |
008 | 201002s 0 0 eng d | ||
022 | _a1090-2104 | ||
024 | 7 |
_a10.1016/j.bbrc.2009.12.019 _2doi |
|
040 |
_aNLM _beng _cNLM |
||
100 | 1 | _aKandaswamy, Krishna Kumar | |
245 | 0 | 0 |
_aSPRED: A machine learning approach for the identification of classical and non-classical secretory proteins in mammalian genomes. _h[electronic resource] |
260 |
_bBiochemical and biophysical research communications _cJan 2010 |
||
300 |
_a1306-11 p. _bdigital |
||
500 | _aPublication Type: Journal Article; Research Support, Non-U.S. Gov't | ||
650 | 0 | 4 | _aAnimals |
650 | 0 | 4 | _aArtificial Intelligence |
650 | 0 | 4 | _aGenome, Human |
650 | 0 | 4 | _aHumans |
650 | 0 | 4 |
_aProteins _xchemistry |
650 | 0 | 4 | _aProteome |
650 | 0 | 4 |
_aSequence Analysis, Protein _xmethods |
700 | 1 | _aPugalenthi, Ganesan | |
700 | 1 | _aHartmann, Enno | |
700 | 1 | _aKalies, Kai-Uwe | |
700 | 1 | _aMöller, Steffen | |
700 | 1 | _aSuganthan, P N | |
700 | 1 | _aMartinetz, Thomas | |
773 | 0 |
_tBiochemical and biophysical research communications _gvol. 391 _gno. 3 _gp. 1306-11 |
|
856 | 4 | 0 |
_uhttps://doi.org/10.1016/j.bbrc.2009.12.019 _zAvailable from publisher's website |
999 |
_c19378069 _d19378069 |