1.
A context-free encoding scheme of protein sequences for predicting..
[2929]
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2.
PiLSL: pairwise interaction learning-based graph neural network fo..
[930]
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3.
Prediction of gene co-expression from chromatin contacts with grap..
[897]
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4.
Mathematical modelling of core regulatory mechanism in p53 protein..
[879]
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5.
Boolean network modeling of -cell apoptosis and insulin resistance..
[868]
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6.
基于对比学习的合成致死基因搭档的推荐方法、装置、终端及介质
[854]
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7.
KG4SL: knowledge graph neural network for synthetic lethality pred..
[808]
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8.
An Encoding Scheme Capturing Generic Priors and Properties of Amin..
[787]
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9.
Human PRPF40B regulates hundreds of alternative splicing targets a..
[758]
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10.
Bayesian Data Fusion of Gene Expression and Histone Modification P..
[725]
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11.
Single-cell gene expression analysis reveals -cell dysfunction and..
[699]
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12.
A Monte Carlo method for in silico modeling and visualization of W..
[694]
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13.
Graph contextualized attention network for predicting synthetic le..
[560]
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14.
Computational identification of physicochemical signatures for hos..
[553]
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15.
NSF4SL: negative-sample-free contrastive learning for ranking synt..
[532]
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16.
Velo-Predictor: an ensemble learning pipeline for RNA velocity pre..
[526]
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17.
SynLethDB 2.0: a web-based knowledge graph database on synthetic l..
[523]
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18.
Grouped Multi-Task Learning with Hidden Tasks Enhancement
[493]
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19.
Chromosome-Level Haplotype Phasing by Integrating HiFi with Hi-C
[492]
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20.
PIKE-R2P: Protein-protein interaction network-based knowledge embe..
[481]
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21.
Tunable Hydrogel Confinement via On-Chip 3D Printing for Studying ..
[478]
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22.
基于知识图谱的合成致死基因对预测方法、系统、终端及介质
[468]
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23.
TEFDTA: a transformer encoder and fingerprint representation combi..
[461]
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24.
(SLMF)-M-2: Predicting Synthetic Lethality in Human Cancers via Lo..
[443]
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25.
Velo-Predictor: An Ensemble Learning Pipeline for RNA Velocity Pre..
[443]
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26.
FAST-Net: A Coarse-to-fine Pyramid Network for Face-Skull Transfo..
[425]
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27.
A diagonal-structured-state-space-sequence-model based deep learni..
[409]
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28.
Predicting Synthetic Lethality in Human Cancers via Multi-Graph En..
[393]
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29.
KR4SL: knowledge graph reasoning for explainable prediction of syn..
[392]
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30.
A Label Disambiguation-Based Multimodal Massive Multiple Instance ..
[386]
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31.
Topic Judgment Helps Question Similarity Prediction in Medical FAQ..
[384]
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32.
癌症特异性合成致死基因对预测方法、系统及终端
[368]
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33.
SL-Miner: a web server for mining evidence and prioritization of c..
[356]
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34.
Ensemble learning models that predict surface protein abundance fr..
[353]
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35.
Multi-state Modeling of GPCRs at Experimental Accuracy via PromptG..
[352]
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36.
GENNDTI: Drug-target interaction prediction using graph neural net..
[339]
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37.
Emerging deep learning methods for single-cell RNA-seq data analys..
[323]
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38.
Therapeutic targeting of the mitochondrial one-carbon pathway: per..
[319]
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39.
MCLand: A Python program for drawing emerging shapes of Waddington..
[318]
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40.
TMELand: An end-to-end pipeline for quantification and visualizati..
[292]
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41.
TMELand: An end-to-end Pipeline for Quantification and Visualizati..
[292]
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42.
结合可量化因素及不可量化因素判断的坐姿检测方法及系统
[289]
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43.
SLInterpreter: An Exploratory and Iterative Human-AI Collaborative..
[289]
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44.
CellSeg2TLS: A Deep Learning Framework for Predicting the Maturati..
[276]
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45.
Guest Editorial for the 29th International Conference on Genome In..
[265]
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46.
Weakly supervised learning for pattern classification in serial fe..
[254]
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47.
Multi-Scale Supervised Contrastive Learning for Benign-Malignant C..
[236]
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48.
Benchmarking machine learning methods for synthetic lethality pred..
[236]
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49.
基于知识图谱推理的合成致死基因对预测方法、装置、设备及介质
[227]
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50.
Biological Factor Regulatory Neural Network
[205]
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51.
Meta Learning for Low-Data Prediction of Cancer-Specific Synthetic..
[198]
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52.
Prompt-based Generation of Natural Language Explanations of Synthe..
[177]
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53.
Exploiting synthetic lethality in PDAC with antibody drug conjugat..
[145]
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54.
Interpretable high-order knowledge graph neural network for predic..
[24]
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55.
Learning universal knowledge graph embedding for predicting biomed..
[19]
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