 Connection
Fan Zhang to High-Throughput Nucleotide Sequencing
This is a "connection" page, showing publications Fan Zhang has written about High-Throughput Nucleotide Sequencing.
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Connection Strength |
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0.739 |
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Zhang F, Flaherty P. Variational inference for rare variant detection in deep, heterogeneous next-generation sequencing data. BMC Bioinformatics. 2017 Jan 19; 18(1):45.
Score: 0.402
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Fan J, Slowikowski K, Zhang F. Single-cell transcriptomics in cancer: computational challenges and opportunities. Exp Mol Med. 2020 09; 52(9):1452-1465.
Score: 0.130
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Zhang F, Wei K, Slowikowski K, Fonseka CY, Rao DA, Kelly S, Goodman SM, Tabechian D, Hughes LB, Salomon-Escoto K, Watts GFM, Jonsson AH, Rangel-Moreno J, Meednu N, Rozo C, Apruzzese W, Eisenhaure TM, Lieb DJ, Boyle DL, Mandelin AM, Boyce BF, DiCarlo E, Gravallese EM, Gregersen PK, Moreland L, Firestein GS, Hacohen N, Nusbaum C, Lederer JA, Perlman H, Pitzalis C, Filer A, Holers VM, Bykerk VP, Donlin LT, Anolik JH, Brenner MB, Raychaudhuri S. Defining inflammatory cell states in rheumatoid arthritis joint synovial tissues by integrating single-cell transcriptomics and mass cytometry. Nat Immunol. 2019 07; 20(7):928-942.
Score: 0.118
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He Y, Zhang F, Flaherty P. RVD2: an ultra-sensitive variant detection model for low-depth heterogeneous next-generation sequencing data. Bioinformatics. 2015 Sep 01; 31(17):2785-93.
Score: 0.089
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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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