Parameterization of disorder predictors for large-scale applications requiring high specificity by using an extended benchmark dataset

10.1186/1471-2164-11-S1-S15

Saved in:

Bibliographic Details
Main Authors:	Sirota, F.L, Ooi, H.-S, Gattermayer, T, Schneider, G, Eisenhaber, F, Maurer-Stroh, S
Other Authors:	BIOLOGICAL SCIENCES
Format:	Article
Published:	BioMed Central Ltd. 2020
Subjects:	algorithm amino acid sequence article computer prediction computer program controlled study gold standard human information processing intermethod comparison nonhuman parametric test protein database quality control sensitivity and specificity sequence analysis web browser evaluation methodology proteomics proteome Algorithms Databases, Protein Humans Proteome Proteomics
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/174459
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	National University of Singapore

id	sg-nus-scholar.10635-174459
record_format	dspace
spelling	sg-nus-scholar.10635-1744592024-04-03T06:05:42Z Parameterization of disorder predictors for large-scale applications requiring high specificity by using an extended benchmark dataset Sirota, F.L Ooi, H.-S Gattermayer, T Schneider, G Eisenhaber, F Maurer-Stroh, S BIOLOGICAL SCIENCES algorithm amino acid sequence article computer prediction computer program controlled study gold standard human information processing intermethod comparison nonhuman parametric test protein database quality control sensitivity and specificity sequence analysis web browser algorithm evaluation methodology protein database proteomics proteome Algorithms Databases, Protein Humans Proteome Proteomics 10.1186/1471-2164-11-S1-S15 BMC Genomics 11 SUPPL. 1 S15 2020-09-04T06:38:02Z 2020-09-04T06:38:02Z 2010 Article Sirota, F.L, Ooi, H.-S, Gattermayer, T, Schneider, G, Eisenhaber, F, Maurer-Stroh, S (2010). Parameterization of disorder predictors for large-scale applications requiring high specificity by using an extended benchmark dataset. BMC Genomics 11 (SUPPL. 1) : S15. ScholarBank@NUS Repository. https://doi.org/10.1186/1471-2164-11-S1-S15 14712164 https://scholarbank.nus.edu.sg/handle/10635/174459 BioMed Central Ltd. Unpaywall 20200831
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	algorithm amino acid sequence article computer prediction computer program controlled study gold standard human information processing intermethod comparison nonhuman parametric test protein database quality control sensitivity and specificity sequence analysis web browser algorithm evaluation methodology protein database proteomics proteome Algorithms Databases, Protein Humans Proteome Proteomics
spellingShingle	algorithm amino acid sequence article computer prediction computer program controlled study gold standard human information processing intermethod comparison nonhuman parametric test protein database quality control sensitivity and specificity sequence analysis web browser algorithm evaluation methodology protein database proteomics proteome Algorithms Databases, Protein Humans Proteome Proteomics Sirota, F.L Ooi, H.-S Gattermayer, T Schneider, G Eisenhaber, F Maurer-Stroh, S Parameterization of disorder predictors for large-scale applications requiring high specificity by using an extended benchmark dataset
description	10.1186/1471-2164-11-S1-S15
author2	BIOLOGICAL SCIENCES
author_facet	BIOLOGICAL SCIENCES Sirota, F.L Ooi, H.-S Gattermayer, T Schneider, G Eisenhaber, F Maurer-Stroh, S
format	Article
author	Sirota, F.L Ooi, H.-S Gattermayer, T Schneider, G Eisenhaber, F Maurer-Stroh, S
author_sort	Sirota, F.L
title	Parameterization of disorder predictors for large-scale applications requiring high specificity by using an extended benchmark dataset
title_short	Parameterization of disorder predictors for large-scale applications requiring high specificity by using an extended benchmark dataset
title_full	Parameterization of disorder predictors for large-scale applications requiring high specificity by using an extended benchmark dataset
title_fullStr	Parameterization of disorder predictors for large-scale applications requiring high specificity by using an extended benchmark dataset
title_full_unstemmed	Parameterization of disorder predictors for large-scale applications requiring high specificity by using an extended benchmark dataset
title_sort	parameterization of disorder predictors for large-scale applications requiring high specificity by using an extended benchmark dataset
publisher	BioMed Central Ltd.
publishDate	2020
url	https://scholarbank.nus.edu.sg/handle/10635/174459
_version_	1795374338615017472

Parameterization of disorder predictors for large-scale applications requiring high specificity by using an extended benchmark dataset

Similar Items