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Connection

Michael Lodato to Single-Cell Analysis

This is a "connection" page, showing publications Michael Lodato has written about Single-Cell Analysis.
Connection Strength

0.531
  1. Lodato MA, Walsh CA. Genome aging: somatic mutation in the brain links age-related decline with disease and nominates pathogenic mechanisms. Hum Mol Genet. 2019 10 15; 28(R2):R197-R206.
    View in: PubMed
    Score: 0.156
  2. Lodato MA, Rodin RE, Bohrson CL, Coulter ME, Barton AR, Kwon M, Sherman MA, Vitzthum CM, Luquette LJ, Yandava CN, Yang P, Chittenden TW, Hatem NE, Ryu SC, Woodworth MB, Park PJ, Walsh CA. Aging and neurodegeneration are associated with increased mutations in single human neurons. Science. 2018 02 02; 359(6375):555-559.
    View in: PubMed
    Score: 0.137
  3. Lodato MA, Woodworth MB, Lee S, Evrony GD, Mehta BK, Karger A, Lee S, Chittenden TW, D'Gama AM, Cai X, Luquette LJ, Lee E, Park PJ, Walsh CA. Somatic mutation in single human neurons tracks developmental and transcriptional history. Science. 2015 Oct 02; 350(6256):94-98.
    View in: PubMed
    Score: 0.118
  4. Luquette LJ, Miller MB, Zhou Z, Bohrson CL, Zhao Y, Jin H, Gulhan D, Ganz J, Bizzotto S, Kirkham S, Hochepied T, Libert C, Galor A, Kim J, Lodato MA, Garaycoechea JI, Gawad C, West J, Walsh CA, Park PJ. Single-cell genome sequencing of human neurons identifies somatic point mutation and indel enrichment in regulatory elements. Nat Genet. 2022 10; 54(10):1564-1571.
    View in: PubMed
    Score: 0.048
  5. Bohrson CL, Barton AR, Lodato MA, Rodin RE, Luquette LJ, Viswanadham VV, Gulhan DC, Cort?s-Ciriano I, Sherman MA, Kwon M, Coulter ME, Galor A, Walsh CA, Park PJ. Linked-read analysis identifies mutations in single-cell DNA-sequencing data. Nat Genet. 2019 04; 51(4):749-754.
    View in: PubMed
    Score: 0.037
  6. Sherman MA, Barton AR, Lodato MA, Vitzthum C, Coulter ME, Walsh CA, Park PJ. PaSD-qc: quality control for single cell whole-genome sequencing data using power spectral density estimation. Nucleic Acids Res. 2018 02 28; 46(4):e20.
    View in: PubMed
    Score: 0.035
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.