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QT-GILD: Quartet Based Gene Tree Imputation Using Deep Learning Improves Phylogenomic Analyses Despite Missing Data.

, , , , , and . RECOMB, volume 13278 of Lecture Notes in Computer Science, page 159-176. Springer, (2022)

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SAINT: self-attention augmented inception-inside-inception network improves protein secondary structure prediction., , , and . Bioinform., 36 (17): 4599-4608 (2020)QT-GILD: Quartet Based Gene Tree Imputation Using Deep Learning Improves Phylogenomic Analyses Despite Missing Data., , , , , and . RECOMB, volume 13278 of Lecture Notes in Computer Science, page 159-176. Springer, (2022)ASTRAL: genome-scale coalescent-based species tree estimation., , , , , and . Bioinform., 30 (17): 541-548 (2014)wQFM: highly accurate genome-scale species tree estimation from weighted quartets., , , , and . Bioinform., 37 (21): 3734-3743 (2021)Fast and Accurate Branch Support Calculation for Distance-Based Phylogenetic Placements., , , , and . RECOMB-CG, volume 13234 of Lecture Notes in Computer Science, page 33-51. Springer, (2022)EGRET: edge aggregated graph attention networks and transfer learning improve protein-protein interaction site prediction., and . Briefings Bioinform., (2022)A Multi-objective Metaheuristic Approach for Accurate Species Tree Estimation., , , , and . BIBE, page 79-84. IEEE, (2020)Gene Tree Parsimony in the Presence of Gene Duplication, Loss, and Incomplete Lineage Sorting., , , , , , and . RECOMB-CG, volume 14616 of Lecture Notes in Computer Science, page 110-128. Springer, (2024)Gene Tree Parsimony for Incomplete Gene Trees., and . WABI, volume 88 of LIPIcs, page 2:1-2:13. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2017)Inferring Optimal Species Trees Under Gene Duplication and Loss., , and . Pacific Symposium on Biocomputing, page 250-261. World Scientific Publishing, (2013)