xTrimoGene: An Efficient and Scalable Representation Learner for
Single-Cell RNA-Seq Data

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xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data

26 November 2023

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Papers citing "xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data"

11 / 11 papers shown

Title
Bidirectional Mamba for Single-Cell Data: Efficient Context Learning with Biological Fidelity Cong Qi Hanzhang Fang Tianxing Hu Siqi Jiang Wei Zhi Mamba 102 0 0 22 Apr 2025
Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling? Yi Tay Mostafa Dehghani Samira Abnar Hyung Won Chung W. Fedus J. Rao Sharan Narang Vinh Q. Tran Dani Yogatama Donald Metzler AI4CE 111 106 0 21 Jul 2022
On Embeddings for Numerical Features in Tabular Deep Learning Yura Gorishniy Ivan Rubachev Artem Babenko LMTD 105 178 0 10 Mar 2022
OntoProtein: Protein Pretraining With Gene Ontology Embedding Ningyu Zhang Zhen Bi Xiaozhuan Liang Shuyang Cheng Haosen Hong Shumin Deng J. Lian Qiang Zhang Huajun Chen 162 97 0 23 Jan 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 477 7,827 0 11 Nov 2021
Modeling Protein Using Large-scale Pretrain Language Model Yijia Xiao J. Qiu Ziang Li Chang-Yu Hsieh Jie Tang 84 30 0 17 Aug 2021
DeepDDS: deep graph neural network with attention mechanism to predict synergistic drug combinations Jinxian Wang Xuejun Liu Siyuan Shen L. Deng Hui Liu GNN 57 142 0 06 Jul 2021
Pre-Trained Models: Past, Present and Future Xu Han Zhengyan Zhang Ning Ding Yuxian Gu Xiao Liu ... Jie Tang Ji-Rong Wen Jinhui Yuan Wayne Xin Zhao Jun Zhu AIFin MQ AI4MH 151 858 0 14 Jun 2021
Pre-trained Models for Natural Language Processing: A Survey Xipeng Qiu Tianxiang Sun Yige Xu Yunfan Shao Ning Dai Xuanjing Huang LM&MA VLM 377 1,489 0 18 Mar 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 642 4,921 0 23 Jan 2020
Using Pre-Training Can Improve Model Robustness and Uncertainty Dan Hendrycks Kimin Lee Mantas Mazeika NoLa 89 727 0 28 Jan 2019