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Jason Flannick

Showing results (1-10 of 101) with videos related to

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Current Diabetes Reports|April 9, 2019
The Contribution of Low-Frequency and Rare Coding Variation to Susceptibility to Type 2 DiabetesJason Flannick
The Lancet. Diabetes & Endocrinology|February 12, 2022
Data-driven type 2 diabetes patient clusters predict metabolic surgery outcomesJason Flannick
Nucleic Acids Research|August 16, 2005
Using multiple alignments to improve seeded local alignment algorithmsJason Flannick, Serafim Batzoglou
Nature Reviews. Genetics|July 13, 2016
Type 2 diabetes: genetic data sharing to advance complex disease researchJason Flannick, Jose C Florez
Nature Reviews. Endocrinology|April 16, 2016
Common and rare forms of diabetes mellitus: towards a continuum of diabetes subtypesJason Flannick, Stefan Johansson, Pål R Njølstad
Nature Genetics|October 22, 2013
Evaluating empirical bounds on complex disease genetic architectureVineeta Agarwala, Jason Flannick, Shamil Sunyaev, et al.
Genome Research|August 11, 2006
Graemlin: general and robust alignment of multiple large interaction networksJason Flannick, Antal Novak, Balaji S Srinivasan, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|August 4, 2009
Automatic parameter learning for multiple local network alignmentJason Flannick, Antal Novak, Chuong B Do, et al.
Nature Genetics|May 29, 2025
Realizing the promise of genome-wide association studies for effector gene predictionMaria C Costanzo, Laura W Harris, Yue Ji, et al.
American Journal of Human Genetics|April 29, 2014
Simulation of Finnish population history, guided by empirical genetic data, to assess power of rare-variant tests in FinlandSophie R Wang, Vineeta Agarwala, Jason Flannick, et al.
Pageof 11

Showing results (1-10 of 101) with videos related to

Sort By:
Pageof 11
Current Diabetes Reports|April 9, 2019
The Contribution of Low-Frequency and Rare Coding Variation to Susceptibility to Type 2 DiabetesJason Flannick
The Lancet. Diabetes & Endocrinology|February 12, 2022
Data-driven type 2 diabetes patient clusters predict metabolic surgery outcomesJason Flannick
Nucleic Acids Research|August 16, 2005
Using multiple alignments to improve seeded local alignment algorithmsJason Flannick, Serafim Batzoglou
Nature Reviews. Genetics|July 13, 2016
Type 2 diabetes: genetic data sharing to advance complex disease researchJason Flannick, Jose C Florez
Nature Reviews. Endocrinology|April 16, 2016
Common and rare forms of diabetes mellitus: towards a continuum of diabetes subtypesJason Flannick, Stefan Johansson, Pål R Njølstad
Nature Genetics|October 22, 2013
Evaluating empirical bounds on complex disease genetic architectureVineeta Agarwala, Jason Flannick, Shamil Sunyaev, et al.
Genome Research|August 11, 2006
Graemlin: general and robust alignment of multiple large interaction networksJason Flannick, Antal Novak, Balaji S Srinivasan, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|August 4, 2009
Automatic parameter learning for multiple local network alignmentJason Flannick, Antal Novak, Chuong B Do, et al.
Nature Genetics|May 29, 2025
Realizing the promise of genome-wide association studies for effector gene predictionMaria C Costanzo, Laura W Harris, Yue Ji, et al.
American Journal of Human Genetics|April 29, 2014
Simulation of Finnish population history, guided by empirical genetic data, to assess power of rare-variant tests in FinlandSophie R Wang, Vineeta Agarwala, Jason Flannick, et al.
Pageof 11