 Connection
Casey Greene to High-Throughput Nucleotide Sequencing
This is a "connection" page, showing publications Casey Greene has written about High-Throughput Nucleotide Sequencing.
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Connection Strength |
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0.579 |
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Cheng C, Moore J, Greene C. Applications of bioinformatics to non-coding RNAs in the era of next-generation sequencing. Pac Symp Biocomput. 2014; 412-6.
Score: 0.322
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Hippen AA, Falco MM, Weber LM, Erkan EP, Zhang K, Doherty JA, Vähärautio A, Greene CS, Hicks SC. miQC: An adaptive probabilistic framework for quality control of single-cell RNA-sequencing data. PLoS Comput Biol. 2021 08; 17(8):e1009290.
Score: 0.137
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Zhu Q, Wong AK, Krishnan A, Aure MR, Tadych A, Zhang R, Corney DC, Greene CS, Bongo LA, Kristensen VN, Charikar M, Li K, Troyanskaya OG. Targeted exploration and analysis of large cross-platform human transcriptomic compendia. Nat Methods. 2015 Mar; 12(3):211-4, 3 p following 214.
Score: 0.086
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Weber LM, Hippen AA, Hickey PF, Berrett KC, Gertz J, Doherty JA, Greene CS, Hicks SC. Genetic demultiplexing of pooled single-cell RNA-sequencing samples in cancer facilitates effective experimental design. Gigascience. 2021 09 22; 10(9).
Score: 0.034
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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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