Biologically inspired intelligent decision making: a commentary on the use of artificial neural networks in bioinformatics
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Predicting outcomes in patients with perforated gastroduodenal ulcers: artificial neural network modelling indicates a highly complex disease.Under the microscope: From pathogens to probiotics and back.Prediction of Clinical Deterioration in Hospitalized Adult Patients with Hematologic Malignancies Using a Neural Network ModelThe optimization of Marasmius androsaceus submerged fermentation conditions in five-liter fermentor.Nodular Thyroid Disease and Thyroid Cancer in the Era of Precision Medicine.The importance of physicochemical characteristics and nonlinear classifiers in determining HIV-1 protease specificity.Sequence homolog-based molecular engineering for shifting the enzymatic pH optimum.Artificial neural network approach to predict surgical site infection after free-flap reconstruction in patients receiving surgery for head and neck cancer.
P2860
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P2860
Biologically inspired intelligent decision making: a commentary on the use of artificial neural networks in bioinformatics
description
2013 nî lūn-bûn
@nan
2013 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Biologically inspired intellig ...... ral networks in bioinformatics
@ast
Biologically inspired intellig ...... ral networks in bioinformatics
@en
type
label
Biologically inspired intellig ...... ral networks in bioinformatics
@ast
Biologically inspired intellig ...... ral networks in bioinformatics
@en
prefLabel
Biologically inspired intellig ...... ral networks in bioinformatics
@ast
Biologically inspired intellig ...... ral networks in bioinformatics
@en
P2860
P921
P356
P1433
P1476
Biologically inspired intellig ...... ral networks in bioinformatics
@en
P2093
Paul Walsh
Timmy Manning
P2860
P356
10.4161/BIOE.26997
P577
2013-12-16T00:00:00Z