Assessment and Improvement of Statistical Tools for Comparative Proteomics Analysis of Sparse Data Sets with Few Experimental Replicates

Veit Schwämmle; Ileana Rodríguez León; Ole Nørregaard Jensen

doi:10.1021/pr400045u

Assessment and Improvement of Statistical Tools for Comparative Proteomics Analysis of Sparse Data Sets with Few Experimental Replicates

Journal of Proteome Research ◽

10.1021/pr400045u ◽

2013 ◽

Vol 12 (9) ◽

pp. 3874-3883 ◽

Cited By ~ 69

Author(s):

Veit Schwämmle ◽

Ileana Rodríguez León ◽

Ole Nørregaard Jensen

Keyword(s):

Sparse Data ◽

Comparative Proteomics ◽

Data Sets ◽

Statistical Tools ◽

Proteomics Analysis ◽

Sparse Data Sets

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Inversion for source parameters from sparse data sets: Test of the method and application to the 1951 (M=6.9) Kona, Hawaii, earthquake

Journal of Geophysical Research Atmospheres ◽

10.1029/94jb00651 ◽

1994 ◽

Vol 99 (B10) ◽

pp. 19661-19678 ◽

Cited By ~ 11

Author(s):

Martin Beisser ◽

Dominique Gillard ◽

Max Wyss

Keyword(s):

Source Parameters ◽

Sparse Data ◽

Data Sets ◽

Sparse Data Sets

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Evaluating parameters for ligand-based modeling with random forest on sparse data sets

Journal of Cheminformatics ◽

10.1186/s13321-018-0304-9 ◽

2018 ◽

Vol 10 (1) ◽

Cited By ~ 11

Author(s):

Alexander Kensert ◽

Jonathan Alvarsson ◽

Ulf Norinder ◽

Ola Spjuth

Keyword(s):

Random Forest ◽

Sparse Data ◽

Data Sets ◽

Sparse Data Sets

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Global Event Location with Full and Sparse Data Sets Using Three-dimensional Models of Mantle P-wave Velocity

Monitoring the Comprehensive Nuclear-Test-Ban Treaty: Sourse Location ◽

10.1007/978-3-0348-8250-7_18 ◽

2001 ◽

pp. 291-317 ◽

Cited By ~ 4

Author(s):

Mchael Antolik ◽

Göran Ekström ◽

Adam M. Dziewonski

Keyword(s):

Wave Velocity ◽

Three Dimensional ◽

Sparse Data ◽

P Wave ◽

Data Sets ◽

Global Event ◽

P Wave Velocity ◽

Event Location ◽

Three Dimensional Models ◽

Sparse Data Sets

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The Gamma Matrix to Summarize Dense and Sparse Data Sets for Big Data Analytics

IEEE Transactions on Knowledge and Data Engineering ◽

10.1109/tkde.2016.2545664 ◽

2016 ◽

Vol 28 (7) ◽

pp. 1905-1918 ◽

Cited By ~ 17

Author(s):

Carlos Ordonez ◽

Yiqun Zhang ◽

Wellington Cabrera

Keyword(s):

Big Data ◽

Data Analytics ◽

Big Data Analytics ◽

Sparse Data ◽

Data Sets ◽

Sparse Data Sets

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Mining Frequent Itemsets in Large Data Warehouses: A Novel Approach Proposed for Sparse Data Sets

Intelligent Data Engineering and Automated Learning - IDEAL 2007 - Lecture Notes in Computer Science ◽

10.1007/978-3-540-77226-2_53 ◽

2007 ◽

pp. 517-526 ◽

Cited By ~ 1

Author(s):

S. M. Fakhrahmad ◽

M. Zolghadri Jahromi ◽

M. H. Sadreddini

Keyword(s):

Large Data ◽

Sparse Data ◽

Frequent Itemsets ◽

Data Sets ◽

Data Warehouses ◽

Novel Approach ◽

Sparse Data Sets ◽

Mining Frequent Itemsets

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Retrieving robust noise-based seismic velocity changes from sparse data sets: synthetic tests and application to Klyuchevskoy volcanic group (Kamchatka)

Geophysical Journal International ◽

10.1093/gji/ggy190 ◽

2018 ◽

Cited By ~ 1

Author(s):

C Gómez-García ◽

F Brenguier ◽

P Boué ◽

N M Shapiro ◽

D V Droznin ◽

...

Keyword(s):

Seismic Velocity ◽

Sparse Data ◽

Data Sets ◽

Volcanic Group ◽

Seismic Velocity Changes ◽

Velocity Changes ◽

Sparse Data Sets

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An Advanced Group Contribution Method for High-Dimensional, Sparse Data Sets

Molecular Informatics ◽

10.1002/minf.201100111 ◽

2011 ◽

Vol 31 (1) ◽

pp. 41-52 ◽

Cited By ~ 2

Author(s):

Chang Jun Lee ◽

Jong Min Lee

Keyword(s):

Sparse Data ◽

Group Contribution ◽

High Dimensional ◽

Data Sets ◽

Group Contribution Method ◽

Sparse Data Sets

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Classical, Generalizability, and Multifaceted Rasch Detection of Interrater Variability in Large, Sparse Data Sets

The Journal of Experimental Education ◽

10.1080/00220970009598501 ◽

2000 ◽

Vol 68 (2) ◽

pp. 167-190 ◽

Cited By ~ 10

Author(s):

Peter D. Macmillan

Keyword(s):

Sparse Data ◽

Data Sets ◽

Interrater Variability ◽

Sparse Data Sets

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An improved locally linear embedding for sparse data sets

2010 IEEE International Conference on Image Processing ◽

10.1109/icip.2010.5651452 ◽

2010 ◽

Cited By ~ 1

Author(s):

Ying Wen ◽

Zhenyu Zhou ◽

Xunheng Wang ◽

Yudong Zhang ◽

Renhua Wu

Keyword(s):

Sparse Data ◽

Locally Linear Embedding ◽

Data Sets ◽

Linear Embedding ◽

Sparse Data Sets ◽

Locally Linear

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Determination of robust ocular pharmacokinetic parameters in serum and vitreous humor of albino rabbits following systemic administration of ciprofloxacin from sparse data sets by using IT2S, a population pharmacokinetic modeling program

Antimicrobial Agents and Chemotherapy ◽

10.1128/aac.39.8.1683 ◽

1995 ◽

Vol 39 (8) ◽

pp. 1683-1687 ◽

Cited By ~ 23

Author(s):

G. L. Drusano ◽

W. Liu ◽

R. Perkins ◽

A. Madu ◽

C. Madu ◽

...

Keyword(s):

Sparse Data ◽

Vitreous Humor ◽

Systemic Administration ◽

Pharmacokinetic Parameters ◽

Population Pharmacokinetic ◽

Data Sets ◽

Population Pharmacokinetic Modeling ◽

Ocular Pharmacokinetic ◽

Sparse Data Sets

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