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1Selecting a sample size for studies with repeated measures.
Y. Guo, H. Logan, D. Glueck, and K. Muller. BMC medical research methodology, 13 (1): 100 (January 2013)7412<m:linebreak></m:linebreak>JID: 100968545; 2013/04/04 received; 2013/07/31 accepted; 2013/07/31 aheadofprint; aheadofprint;<m:linebreak></m:linebreak>Sample size; Dades longitudinals.
2 years ago by @jepcastel
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ReproducibilityofResults
AnalysisofVariance
SampleSize
ResearchDesign
Humans
Statistical
Models
Software
DataInterpretation
PainMeasurement
ReproducibilityofResultsAnalysisofVarianceSampleSizeResearchDesignHumansStatisticalModelsSoftwareDataInterpretationPainMeasurement
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1Clinical research: a novel approach to the analysis of repeated measures.
T. Cleophas, A. Zwinderman, and B. van Ouwerkerk. American journal of therapeutics, 19 (1): e1-7 (January 2012)21048432<br/><br/>JID: 9441347; ppublish;<br/><br/>Mixed models; Dades longitudinals; SPSS.
2 years ago by @jepcastel
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AnalysisofVariance
Humans
Male
Cross-OverStudies
LinearModels
BiomedicalResearch
BiomedicalResearch:methods
Double-BlindMethod
Statistical
Models
Adult
Aged
Software
Female
MiddleAged
AnalysisofVarianceHumansMaleCross-OverStudiesLinearModelsBiomedicalResearchBiomedicalResearch:methodsDouble-BlindMethodStatisticalModelsAdultAgedSoftwareFemaleMiddleAged
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1ROC with confidence - a Perl program for receiver operator characteristic curves.
H. Kestler. Computer methods and programs in biomedicine, 64 (2): 133-136 (February 2001)3744<m:linebreak></m:linebreak>Proves diagnòstiques; ROC.
2 years ago by @jepcastel
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ROCCurve
User-ComputerInterface
Humans
ConfidenceIntervals
Electrocardiography:statistics&numericaldata
Electrocardiography
Software
PredictiveValueofTests
ROCCurveUser-ComputerInterfaceHumansConfidenceIntervalsElectrocardiography:statistics&numericaldataElectrocardiographySoftwarePredictiveValueofTests
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1Meta-Analyst: software for meta-analysis of binary, continuous and diagnostic data.
B. Wallace, C. Schmid, J. Lau, and T. Trikalinos. BMC medical research methodology, (January 2009)6213<m:linebreak></m:linebreak>LR: 20100928; GR: 290-02-0022/PHS HHS/United States; GR: R01HS018574/HS/AHRQ HHS/United States; GR: R33 RR17109/RR/NCRR NIH HHS/United States; JID: 100968545; OID: NLM: PMC2795760; 2009/04/30 received; 2009/12/04 accepted; 2009/12/04 aheadofprint; epublish;<m:linebreak></m:linebreak>Software estadístic; Metaanàlisi.
2 years ago by @jepcastel
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Meta-AnalysisasTopic
ReproducibilityofResults
User-ComputerInterface
Statistical
Software
DataInterpretation
Meta-AnalysisasTopicReproducibilityofResultsUser-ComputerInterfaceStatisticalSoftwareDataInterpretation
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2Minding the Gap: Bridging Computing Science and Business Studies with an Interdisciplinary Innovation Challenge
J. Kietzmann, and H. Tsang. Proceedings of the 15th Western Canadian Conference on Computing Education, page 14:1--14:5. New York, NY, USA, ACM, (2010)
3 years ago by @herberttsang
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innovation
myown
pedagogy,
software
report,
development,
tsang_pub
technology
experience
management,
computer
management
retention,
science,
innovation,
innovationmyownpedagogy,softwarereport,development,tsang_pubtechnologyexperiencemanagement,computermanagementretention,science,innovation,
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2Industry in the Classroom: Equipping Students with Real-World Experience A Reflection on the Effects of Industry Partnered Projects on Computing Education
C. Hobbs, and H. Tsang. Proceedings of the Western Canadian Conference on Computing Education, page 7:1--7:5. New York, NY, USA, ACM, (2014)
3 years ago by @herberttsang
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real-world
development
software
experience,
partners,
industry
Education
tsang_pub
methods,
real-worlddevelopmentsoftwareexperience,partners,industryEducationtsang_pubmethods,
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1Comparative analysis of transcriptomic profile, histology, and IDH mutation for classification of gliomas
P. Tran, L. Tran, J. Nechtman, B. dos Santos, S. Purohit, K. Satter, B. Dun, R. Kolhe, S. Sharma, R. Bollag and 1 other author(s). Scientific Reports, 10 (1): 20651-- (2020)
4 years ago by @marcsaric
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software
machine-learning
cancer-research
glioma
fulltext
classification
softwaremachine-learningcancer-researchgliomafulltextclassification
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1Maftools: efficient and comprehensive analysis of somatic variants in cancer
A. Mayakonda, D. Lin, Y. Assenov, C. Plass, and H. Koeffler. Genome Research, 28 (11, /content/28/11.cover.gif): 1747-1756 (2018)
4 years ago by @marcsaric
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shouldread
maf
software
cancer-research
vcf
snv
fulltext
shouldreadmafsoftwarecancer-researchvcfsnvfulltext
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1Scalable Open Science Approach for Mutation Calling of Tumor Exomes Using Multiple Genomic Pipelines
K. Ellrott, M. Bailey, G. Saksena, K. Covington, C. Kandoth, C. Stewart, J. Hess, S. Ma, K. Chiotti, M. McLellan and 730 other author(s). Cell Systems, 6 (3): 271--281.e7 (March 2018)
4 years ago by @marcsaric
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shouldread
wxs
exome
software
cancer-research
variant-calling
pan-cancer
fulltext
shouldreadwxsexomesoftwarecancer-researchvariant-callingpan-cancerfulltext
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4Pindel: a pattern growth approach to detect break points of large deletions and medium sized insertions from paired-end short reads
K. Ye, M. Schulz, Q. Long, R. Apweiler, and Z. Ning. Bioinformatics, 25 (21): 2865--2871 (June 2009)
4 years ago by @marcsaric
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shouldread
software
cancer-research
variant-calling
indel
fulltext
shouldreadsoftwarecancer-researchvariant-callingindelfulltext
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4Pindel: a pattern growth approach to detect break points of large deletions and medium sized insertions from paired-end short reads
K. Ye, M. Schulz, Q. Long, R. Apweiler, and Z. Ning. Bioinformatics, 25 (21): 2865-2871 (November 2009)
4 years ago by @marcsaric
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shouldread
wxs
pipeline
exome
gdc
software
cancer-research
variant-calling
fulltext
shouldreadwxspipelineexomegdcsoftwarecancer-researchvariant-callingfulltext
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1Fast and accurate long-read alignment with Burrows-Wheeler transform
H. Li, and R. Durbin. Bioinformatics, 26 (5): 589-595 (March 2010)
4 years ago by @marcsaric
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exome
software
dna-sequencing
alignment
exomesoftwaredna-sequencingalignment
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3Fast and accurate short read alignment with Burrows-Wheeler transform
H. Li, and R. Durbin. Bioinformatics, 25 (14): 1754-1760 (July 2009)
4 years ago by @marcsaric
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exome
software
bwa
alignment
exomesoftwarebwaalignment
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2Improved single-molecule localization precision in astigmatism-based 3D superresolution imaging using weighted likelihood estimation
C. Bohrer, X. Yang, Z. Lyu, S. Wang, and J. Xiao. bioRxiv, (April 2018)
5 years ago by @kfriedl
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3D
mle
software
superresolution
3Dmlesoftwaresuperresolution
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2Toward a Shared Vision for Cancer Genomic Data
R. Grossman, A. Heath, V. Ferretti, H. Varmus, D. Lowy, W. Kibbe, and L. Staudt. N Engl J Med, 375 (12): 1109-1112 (September 2016)
5 years ago by @marcsaric
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ref
software
tcga-lgg
cancer-research
tcga-gbm
tcga
fulltext
tcga-platforms
refsoftwaretcga-lggcancer-researchtcga-gbmtcgafulltexttcga-platforms
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1oposSOM: R-package for high-dimensional portraying of genome-wide expression landscapes on bioconductor
H. Löffler-Wirth, M. Kalcher, and H. Binder. Bioinformatics, 31 (19): 3225-3227 (October 2015)
5 years ago by @marcsaric
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mustread
software
machine-learning
mach
fulltext
bioconductor
mustreadsoftwaremachine-learningmachfulltextbioconductor
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1Expression cartography of human tissues using self organizing maps
H. Wirth, M. Löffler, M. von Bergen, and H. Binder. BMC Bioinformatics, (July 2011)
5 years ago by @marcsaric
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software
machine-learning
MUSTREAD
fulltext
softwaremachine-learningMUSTREADfulltext
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1An independently validated nomogram for isocitrate dehydrogenase-wild-type glioblastoma patient survival
H. Gittleman, G. Cioffi, P. Chunduru, A. Molinaro, M. Berger, A. Sloan, and J. Barnholtz-Sloan. Neurooncol Adv, (May 2019)
5 years ago by @marcsaric
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survival
software
cancer-research
nomogram
r-language
fulltext
survivalsoftwarecancer-researchnomogramr-languagefulltext
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1New resampling method for evaluating stability of clusters
I. Gana Dresen, T. Boes, J. Huesing, M. Neuhaeuser, and K. Joeckel. BMC Bioinformatics, (January 2008)
5 years ago by @marcsaric
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shouldread
software
methods
clustering
fulltext
shouldreadsoftwaremethodsclusteringfulltext
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1Creation and analysis of biochemical constraint-based models using the COBRA Toolbox v.3.0
L. Heirendt, S. Arreckx, T. Pfau, S. Mendoza, A. Richelle, A. Heinken, H. Haraldsdóttir, J. Wachowiak, S. Keating, V. Vlasov and 45 other author(s). Nature Protocols, 14 (3): 639--702 (2019)
5 years ago by @karthikraman
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cobra
constraint-based-modelling
software
flux-analysis
cobraconstraint-based-modellingsoftwareflux-analysis
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publications (hide)193 displayallpublications onlypublications per page5102050100 sort byadded attitleauthorpublication dateentry typehelp for advanced sorting... RSSBibTeXRDFmore...

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publications (hide)193
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