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Titlebook: Research in Computational Molecular Biology; 26th Annual Internat Itsik Pe‘er Conference proceedings 2022 The Editor(s) (if applicable) and

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樓主: Wilder
21#
發(fā)表于 2025-3-25 06:09:57 | 只看該作者
22#
發(fā)表于 2025-3-25 07:59:19 | 只看該作者
QT-GILD: Quartet Based Gene Tree Imputation Using Deep Learning Improves Phylogenomic Analyses Despiquartets accordingly. QT-GILD is a general-purpose technique needing no explicit modeling of the subject system or reasons for missing data or gene tree heterogeneity. Experimental studies on a collection of simulated and empirical data sets suggest that QT-GILD can effectively impute the quartet di
23#
發(fā)表于 2025-3-25 15:05:18 | 只看該作者
24#
發(fā)表于 2025-3-25 18:24:03 | 只看該作者
25#
發(fā)表于 2025-3-25 22:20:08 | 只看該作者
Multi-modal Genotype and?Phenotype Mutual Learning to?Enhance Single-Modal Input Based Longitudinal atus currently is (diagnosis) and how it will change before their next visit (longitudinal outcome) if they maintain their disease trajectory and lifestyle. Accurate answers to these questions can distinguish vulnerable subjects and enable clinicians to start early treatments for them. In this paper
26#
發(fā)表于 2025-3-26 02:36:37 | 只看該作者
27#
發(fā)表于 2025-3-26 06:47:47 | 只看該作者
Co-linear Chaining with?Overlaps and?Gap Costsimentally that optimal co-linear chaining cost under the proposed cost function can be computed orders of magnitude faster than edit distance, and achieves correlation coefficient above 0.9 with edit distance for closely as well as distantly related sequences.
28#
發(fā)表于 2025-3-26 08:58:10 | 只看該作者
The Complexity of?Approximate Pattern Matching on?de Bruijn Graphsutions. Despite the popularity of de Bruijn graphs in Computational Biology, the complexity of approximate pattern matching on de Bruijn graphs remained open. We investigate this problem and show that the properties that make de Bruijn graphs amenable to efficient exact pattern matching do not exten
29#
發(fā)表于 2025-3-26 15:32:10 | 只看該作者
ProTranslator: Zero-Shot Protein Function Prediction Using Textual Descriptioniction as a machine translation problem, which translates the description word sequence of a function to the amino acid sequence of a protein. We can then transfer annotations from functions that have similar textual description to annotate a novel function. We observed substantial improvement in an
30#
發(fā)表于 2025-3-26 17:33:42 | 只看該作者
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