Connection
Matthew Keller to Genome
This is a "connection" page, showing publications Matthew Keller has written about Genome.
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Connection Strength |
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1.092 |
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Evans LM, Tahmasbi R, Vrieze SI, Abecasis GR, Das S, Gazal S, Bjelland DW, de Candia TR, Goddard ME, Neale BM, Yang J, Visscher PM, Keller MC. Comparison of methods that use whole genome data to estimate the heritability and genetic architecture of complex traits. Nat Genet. 2018 05; 50(5):737-745.
Score: 0.514
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Tahmasbi R, Keller MC. GeneEvolve: a fast and memory efficient forward-time simulator of realistic whole-genome sequence and SNP data. Bioinformatics. 2017 01 15; 33(2):294-296.
Score: 0.461
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Liu M, Malone SM, Vaidyanathan U, Keller MC, Abecasis G, McGue M, Iacono WG, Vrieze SI. Psychophysiological endophenotypes to characterize mechanisms of known schizophrenia genetic loci. Psychol Med. 2017 Apr; 47(6):1116-1125.
Score: 0.117
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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