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The role of complementary bipartite visual analytical representations in the analysis of SNPs: a case study in ancestral informative markers ; J Am Med Inform Assoc

• Authors : Bhavnani, Suresh K; Bellala, Gowtham; Victor, Sundar

Subjects: Algorithms; Analysis of Variance; Computational Biology

• Source: J Am Med Inform Assoc. 2012; 19(e1):e5-e12.

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Close encounters of the infectious kind: methods to measure social mixing behaviour ; Epidemiol Infect

• Authors : READ, J. M.; EDMUNDS, W. J.; RILEY, S.

Subjects: Article; Contact Tracing; Humans

• Source: Epidemiol Infect. 2012; 140(12):2117-2130

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Do Subjective Measures Improve the Ability to Identify Limited Health Literacy in a Clinical Setting? ; J Am Board Fam Med

• Authors : Goodman, Melody S.; Griffey, Richard T.; Carpenter, Christopher R.

Subjects: Article; Biostatistics; Health Literacy

• Source: J Am Board Fam Med. 28(5):584-594.

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Close encounters of the infectious kind: methods to measure social mixing behaviour ; Epidemiol Infect

• Authors : READ, J. M.; EDMUNDS, W. J.; RILEY, S.

Subjects: Article; Contact diary; infectious disease control

• Source: Epidemiol Infect. 2012; 140(12):2117-2130.

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The role of complementary bipartite visual analytical representations in the analysis of SNPs: a case study in ancestral informative markers ; J Am Med Inform Assoc

• Authors : Bhavnani, Suresh K; Bellala, Gowtham; Victor, Sundar

Subjects: Research and Applications; Visualization of data and knowledge; human-computer interaction and human-centered computing1506

• Source: J Am Med Inform Assoc. 2012; 19(e1):e5-e12.

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Significant dust dispersion models for mining operations

• Authors : Reed, W. R.; Pittsburgh Research Laboratory (National Institute for Occupational Safety and Health)

Subjects: Coal mines and mining--Dust control--Mathematical models; Mine dusts--Control--Mathematical models

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Significant Dust Dispersion Models For Mining Operations

• Authors : Reed, W. R., PH.D.

Subjects: NIOSH

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Significant Dust Dispersion Models For Mining Operations

• Authors : Reed, W. R., PH.D.

Subjects: NIOSH

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