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1. FEAST for Differential Eigenvalue Problems

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   Horning, Andrew ; Townsend, Alex ( January 2020 , SIAM journal on numerical analysis)
2. FEAST eigensolver for nonlinear eigenvalue problems

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   Gavin, Brendan ; Międlar, Agnieszka ; Polizzi, Eric ( July 2018 , Journal of Computational Science)
3. Krylov eigenvalue strategy using the FEAST algorithm with inexact system solves: Krylov strategy using FEAST with inexact system solves

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   Gavin, Brendan ; Polizzi, Eric ( October 2018 , Numerical Linear Algebra with Applications)
4. FEAST: fast expectation-maximization for microbial source tracking

   https://doi.org/10.1038/s41592-019-0431-x  

   Shenhav, Liat ; Thompson, Mike ; Joseph, Tyler A. ; Briscoe, Leah ; Furman, Ori ; Bogumil, David ; Mizrahi, Itzhak ; Pe’er, Itsik ; Halperin, Eran ( July 2019 , Nature Methods)
5. SNV-FEAST: microbial source tracking with single nucleotide variants

   https://doi.org/10.1186/s13059-023-02927-8  

   Briscoe, Leah ; Halperin, Eran ; Garud, Nandita R. ( April 2023 , Genome Biology)

   Elucidating the sources of a microbiome can provide insight into the ecological dynamics responsible for the formation of these communities. Source tracking approaches to date leverage species abundance information; however, single nucleotide variants (SNVs) may be more informative because of their high specificity to certain sources. To overcome the computational burden of utilizing all SNVs for a given sample, we introduce a novel method to identify signature SNVs for source tracking. Signature SNVs used as input into a previously designed source tracking algorithm, FEAST, can more accurately estimate contributions than species and provide novel insights, demonstrated in three case studies.

    

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