bioRxiv/medRxiv TRiP Review Activity

5 Reviews — GigaScience — Genetics

Most recent first

Cell type-specific interpretation of noncoding variants using deep learning-based methods
Sindeeva, M., Chekanov, N., Avetisian, M., Baranov, N., Malkin, E., Lapin, A., Kardymon, O., Fishman, V.
10.1101/2021.12.31.474623 — Posted: 2022-01-01 — Discussion: 2023-04-10  GigaScience
NETMAGE: a humaN-disEase phenoType MAp GEnerator for the Visualization of PheWAS
Sriram, V., Shivakumar, M., Jung, S.-H., Bang, L., Verma, A., Lee, S., Choe, E. K., Kim, D.
10.1101/2020.10.27.357103 — Posted: 2020-10-27 — Discussion: 2022-03-14  GigaScience
Interpretable network-guided epistasis detection
Duroux, D., Climente-Gonzales, H., Azencott, C.-A., Van Steen, K.
10.1101/2020.09.24.310136 — Posted: 2020-09-25 — Discussion: 2022-03-14  GigaScience
Gene-Set Enrichment with Mathematical Biology (GEMB)
Cochran, A., Forger, D., Zöllner, S., McInnis, M.
10.1101/554212 — Posted: 2019-02-18 — Discussion: 2022-01-24  GigaScience
High-throughput phenotyping with deep learning gives insight into the genetic architecture of flowering time in wheat
Wang, X., Xuan, H., Evers, B., Shrestha, S., Pless, R., Poland, J.
10.1101/527911 — Posted: 2019-01-23 — Discussion: 2022-01-23  GigaScience

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