极小
发表于 2025-3-23 10:33:38
Sequence to Graph Alignment Using Gap-Sensitive Co-linear Chainingapproach to combine short exact matches. For co-linear chaining between two sequences, efficient subquadratic-time chaining algorithms are well-known for linear, concave and convex gap cost functions . However, developing extensions of chaining algorithms for directed acyclic gra
Fluctuate
发表于 2025-3-23 17:26:34
DM-Net: A Dual-Model Network for Automated Biomedical Image Diagnosis neural network (DCNN) is an extensively used framework for biomedical image analysis. To study and rethink the effectiveness of compounding both the shallow and deep networks for the medical image segmentation task, we propose a dual-model CNN architecture, called DM-Net, for biomedical image segme
Arb853
发表于 2025-3-23 19:25:47
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intercede
发表于 2025-3-24 00:13:44
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眉毛
发表于 2025-3-24 04:57:16
Percolate: An Exponential Family JIVE Model to Design DNA-Based Predictors of Drug Responseat gene expression contains most of the predictive capacity compared to the remaining omic data types. Unfortunately, this comes at a price: gene expression biomarkers are often hard to interpret and show poor robustness.. To capture the best of both worlds, i.e. the accuracy of gene expression and
Bravura
发表于 2025-3-24 07:30:44
Translation Rate Prediction and Regulatory Motif Discovery with Multi-task Learningnderpins this translation regulation remains elusive. Deep learning methods deployed to analyse massive sequencing datasets offer new solutions to motif discovery. However, existing works focused on extracting sequence motifs in individual datasets, which may not be generalisable to other datasets f
ostensible
发表于 2025-3-24 14:38:14
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细节
发表于 2025-3-24 18:49:41
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tooth-decay
发表于 2025-3-24 22:57:41
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2否定
发表于 2025-3-25 00:45:18
0302-9743 ECOMB 2023, held in Istanbul, Turkey, during April 16–19, 2023..The 11 regular and 33 short papers presented in this book were carefully reviewed and selected from 188 submissions. The papers report on original research in all areas of computational molecular biology and bioinformatics..978-3-031-29