List of Faculty Publications
Below is a list of Faculty publications imported from PubMed or manually added. By default, publications are sorted by year with titles displayed in ascending alphabetical order.
Shortcuts: Wühr, Martin | Wingreen, Ned | Wieschaus, Eric | Troyanskaya, Olga | Tilghman, Shirley | Storey, John | Singh, Mona | Shvartsman, Stanislav | Shaevitz, Joshua | Rabinowitz, Joshua | Murphy, Coleen | Levine, Michael {Levine, Michael S.} | Gregor, Thomas | Botstein, David | Bialek, William | Ayroles, Julien | Andolfatto, Peter | Akey, Joshua
Filters: First Letter Of Title is W and Author is Packer, Alan [Clear All Filters]
“Whole-genome deep-learning analysis identifies contribution of noncoding mutations to autism risk.”, Nat Genet, vol. 51, no. 6, pp. 973-980, 2019.
, “Whole-genome deep-learning analysis identifies contribution of noncoding mutations to autism risk.”, Nat Genet, vol. 51, no. 6, pp. 973-980, 2019.
, “Whole-genome deep-learning analysis identifies contribution of noncoding mutations to autism risk.”, Nat Genet, vol. 51, no. 6, pp. 973-980, 2019.
, “Whole-genome deep-learning analysis identifies contribution of noncoding mutations to autism risk.”, Nat Genet, vol. 51, no. 6, pp. 973-980, 2019.
, “Whole-genome deep-learning analysis identifies contribution of noncoding mutations to autism risk.”, Nat Genet, vol. 51, no. 6, pp. 973-980, 2019.
, “Whole-genome deep-learning analysis identifies contribution of noncoding mutations to autism risk.”, Nat Genet, vol. 51, no. 6, pp. 973-980, 2019.
, “Whole-genome deep-learning analysis identifies contribution of noncoding mutations to autism risk.”, Nat Genet, vol. 51, no. 6, pp. 973-980, 2019.
, “Whole-genome deep-learning analysis identifies contribution of noncoding mutations to autism risk.”, Nat Genet, vol. 51, no. 6, pp. 973-980, 2019.
, “Whole-genome deep-learning analysis identifies contribution of noncoding mutations to autism risk.”, Nat Genet, vol. 51, no. 6, pp. 973-980, 2019.
, “Whole-genome deep-learning analysis identifies contribution of noncoding mutations to autism risk.”, Nat Genet, vol. 51, no. 6, pp. 973-980, 2019.
, “Whole-genome deep-learning analysis identifies contribution of noncoding mutations to autism risk.”, Nat Genet, vol. 51, no. 6, pp. 973-980, 2019.
, “Whole-genome deep-learning analysis identifies contribution of noncoding mutations to autism risk.”, Nat Genet, vol. 51, no. 6, pp. 973-980, 2019.
, “Whole-genome deep-learning analysis identifies contribution of noncoding mutations to autism risk.”, Nat Genet, vol. 51, no. 6, pp. 973-980, 2019.
, “Whole-genome deep-learning analysis identifies contribution of noncoding mutations to autism risk.”, Nat Genet, vol. 51, no. 6, pp. 973-980, 2019.
, “Whole-genome deep-learning analysis identifies contribution of noncoding mutations to autism risk.”, Nat Genet, vol. 51, no. 6, pp. 973-980, 2019.
, “Whole-genome deep-learning analysis identifies contribution of noncoding mutations to autism risk.”, Nat Genet, vol. 51, no. 6, pp. 973-980, 2019.
, “Whole-genome deep-learning analysis identifies contribution of noncoding mutations to autism risk.”, Nat Genet, vol. 51, no. 6, pp. 973-980, 2019.
, “Whole-genome deep-learning analysis identifies contribution of noncoding mutations to autism risk.”, Nat Genet, vol. 51, no. 6, pp. 973-980, 2019.
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