000 01300 a2200349 4500
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