About: On the importance of comprehensible classification models for protein function prediction

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scientific article published on January 2010

Attributes	Values
rdf:type	Item
description	videnskabelig artikel (da) article científic (ca) articolo scientifico (it) artigo científico (pt) bilimsel makale (tr) vedecký článok (sk) vetenskaplig artikel (sv) vědecký článek (cs) wetenschappelijk artikel (nl) wissenschaftlicher Artikel (de) научни чланак (sr) article scientifique (fr) artículu científicu espublizáu en 2010 (ast) наукова стаття, опублікована в січні 2010 (uk) scientific article published on January 2010 (en) مقالة علمية نشرت في يناير 2010 (ar)
publication date	wds:Q37691162-4D2F3BC8-EC7E-458B-B280-81AAD36FD061
publication date	2010-01-01 00:00:00Z (xsd:dateTime)
language of work or name	wds:Q37691162-2CE49DC6-F141-47CE-AB7D-948AF800BB5B
language of work or name	English
cites work	wds:Q37691162-199E71D6-27EA-4CE7-A520-996788DFBD55
cites work	Analysis of the genome sequence of the flowering plant Arabidopsis thaliana
author name string	wds:Q37691162-D4BF12EA-6E5D-4E70-8518-1885EA9A3475
author name string	Daniela C Wieser
rdfs:label	On the importance of comprehensible classification models for protein function prediction (en) On the importance of comprehensible classification models for protein function prediction (nl) On the importance of comprehensible classification models for protein function prediction (ast)
skos:prefLabel	On the importance of comprehensible classification models for protein function prediction (en) On the importance of comprehensible classification models for protein function prediction (nl) On the importance of comprehensible classification models for protein function prediction (ast)
name	On the importance of comprehensible classification models for protein function prediction (en) On the importance of comprehensible classification models for protein function prediction (nl) On the importance of comprehensible classification models for protein function prediction (ast)
author	wds:Q37691162-704572B1-D716-4021-8686-4E9EF185A509 wds:Q37691162-F9442084-40F0-42E2-9F63-D2BD667AA21A
author	Rolf Apweiler Alex A Freitas
title	wds:Q37691162-2070FFE5-4E7A-486F-8267-FC2247A5B63B
title	On the importance of comprehensible classification models for protein function prediction (en)
page(s)	wds:Q37691162-C39C9FA5-CD13-4221-9B06-4E46CFAE9D67
page(s)	172-182
instance of	wds:Q37691162-F4F2CB42-2BE5-4EA2-818A-2AC40D14AE37
instance of	scholarly article
main subject	wds:Q37691162-D9A70B77-801B-4688-A978-6F940AE949B5
main subject	protein function prediction
PubMed ID	wds:Q37691162-91E8C1BC-E6F2-4ED4-934A-0729B61E0926
PubMed ID	http://rdf.ncbi.nlm.nih.gov/pubchem/reference/20150679
PubMed ID	20150679
published in	wds:Q37691162-56983CA0-C619-49E1-AE8C-E2B2C205A71C
published in	IEEE/ACM Transactions on Computational Biology and Bioinformatics
issue	wds:Q37691162-DC14F5F3-F8CF-4C12-B979-B8317932933F
volume	wds:Q37691162-DB97DD9E-7DA0-4F3F-8708-42AEC57749B0
issue	1
volume	7
DOI	wds:Q37691162-E7C1D6AA-8FCB-4BEA-B529-6A1D2C5563DD
DOI	http://dx.doi.org/10.1109/TCBB.2008.47
DOI	10.1109/TCBB.2008.47
skos:altLabel	On the Importance of Comprehensible Classification Models for Protein Function Prediction (en)
ResearchGate publication ID	wds:Q37691162-A8E3510D-2C22-4807-9ECF-0E38FD72B425
ResearchGate publication ID	41425089
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q37691162
is cites work of	Hierarchical ensemble methods for protein function prediction Automatic design of decision-tree induction algorithms tailored to flexible-receptor docking data. Context-based preprocessing of molecular docking data Mining flexible-receptor docking experiments to select promising protein receptor snapshots A data mining approach for classifying DNA repair genes into ageing-related or non-ageing-related A review of supervised machine learning applied to ageing research Learning Classification Models of Cognitive Conditions from Subtle Behaviors in the Digital Clock Drawing Test. An infrastructure to mine molecular descriptors for ligand selection on virtual screening Predicting volume of distribution with decision tree-based regression methods using predicted tissue:plasma partition coefficients Clus-DTI: improving decision-tree classification with a clustering-based decision-tree induction algorithm An interpretable machine learning model for diagnosis of Alzheimer's disease A genetic programming method for protein motif discovery and protein classification
is cites work of	wds:Q30763126-E550E288-1BC3-4198-B983-3C1C30EEE778 wds:Q33787280-CF03A525-7048-493B-BDD8-6E9D82E41B77 wds:Q38398056-8C88423D-16D2-4CBF-9D4A-F6102BD57147 wds:Q30578152-22382FD7-38A3-4921-BBBC-82A0319CFA77 wds:Q57739592-FC589ABA-1FEC-4E24-B69B-AE2213C60730 wds:Q36767119-0041D03F-20CC-442B-8A4E-8241AC96A5B1 wds:Q38456966-E2A08460-969A-4700-840D-741EE456393A wds:Q38749886-5EB4F572-C985-4E8E-A84D-CD0083F2AA43 wds:Q64083695-DD845B8D-832F-4EFF-9BB3-000A1AE7C046 wds:Q27902282-BDAD2F19-6194-4015-9BA2-24D7B35D516C wds:Q33791376-F6FAC073-9094-4DB0-88DB-425F9B1F80D6 wds:Q57597646-68AE8770-F005-431D-A9FA-DC50AAEA77F8

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