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Xinming Tu
Xinming Tu
其他姓名Xin-Ming Tu
在 cs.washington.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Multimodal single cell data integration challenge: results and lessons learned
C Lance, MD Luecken, DB Burkhardt, R Cannoodt, P Rautenstrauch, ...
BioRxiv, 2022.04. 11.487796, 2022
482022
Expectation pooling: an effective and interpretable pooling method for predicting DNA–protein binding
X Luo, X Tu, Y Ding, G Gao, M Deng
Bioinformatics 36 (5), 1405-1412, 2020
292020
What should data science education do with large language models
X Tu, J Zou, WJ Su, L Zhang
arXiv preprint arXiv:2307.02792, 2023
112023
Cross-Linked Unified Embedding for cross-modality representation learning
X Tu, ZJ Cao, CR Xia, S Mostafavi, G Gao
Advances in Neural Information Processing Systems 35, 15942-15955, 2022
112022
Spatial-linked alignment tool (SLAT) for aligning heterogenous slices
CR Xia, ZJ Cao, XM Tu, G Gao
Nature Communications 14 (1), 7236, 2023
6*2023
Identifying complex motifs in massive omics data with a variable-convolutional layer in deep neural network
JY Li, S Jin, XM Tu, Y Ding, G Gao
Briefings in Bioinformatics 22 (6), bbab233, 2021
42021
An Evaluation of Large Language Models in Bioinformatics Research
H Yin, Z Gu, F Wang, Y Abuduhaibaier, Y Zhu, X Tu, XS Hua, X Luo, ...
arXiv preprint arXiv:2402.13714, 2024
22024
Evaluation and optimization of sequence-based gene regulatory deep learning models
AM Rafi, D Nogina, D Penzar, D Lee, D Lee, N Kim, S Kim, D Kim, Y Shin, ...
bioRxiv, 2023
22023
An exact transformation for cnn kernel enables accurate sequence motif identification and leads to a potentially full probabilistic interpretation of cnn
Y Ding, J Li, M Wang, X Tu, G Gao
22017
A Supervised Contrastive Framework for Learning Disentangled Representations of Cellular Perturbation Data
X Tu, JC Hütter, ZJ Wang, T Kudo, A Regev, R Lopez
Machine Learning in Computational Biology, 90-100, 2024
12024
Contrasting genetic predisposition and diagnosis in psychiatric disorders: a multi-omic single-nucleus analysis of the human orbitofrontal cortex
N Gerstner, AS Froehlich, N Matosin, M Gagliardi, C Cruceanu, M Koedel, ...
medRxiv, 2024.04. 24.24306179, 2024
2024
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