A Multi-Label Temporal Convolutional Framework for Transcription Factor Binding Characterization

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References (41)

[1]
DNA-guided transcription factor interactions extend human gene regulatory code
2025Zhiyuan Xie, Ilya Sokolov et al.
[2]
MLSNet: a deep learning model for predicting transcription factor binding sites
2024Yuchuan Zhang, Zhikang Wang et al.
[3]
PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation
2024Jason Ansel, Edward Yang et al.
[4]
A Review of the F-Measure: Its History, Properties, Criticism, and Alternatives
2023P. Christen, D. Hand et al.
[5]
DeepSTF: predicting transcription factor binding sites by interpretable deep neural networks combining sequence and shape
2023Pengju Ding, Yifei Wang et al.
[6]
Temporal convolutional networks and data rebalancing for clinical length of stay and mortality prediction
2022B. Bednarski, Akash Deep Singh et al.
[7]
A General Survey on Attention Mechanisms in Deep Learning
2022Gianni Brauwers, Flavius Frasincar
[8]
Deep learning for MYC binding site recognition
2022Rita Fioresi, Pietro Demurtas et al.
[9]
A novel convolution attention model for predicting transcription factor binding sites by combination of sequence and shape
2021Yongqing Zhang, Zixuan Wang et al.
[10]
MYC: a multipurpose oncogene with prognostic and therapeutic implications in blood malignancies
2021S. Ahmadi, S. Rahimi et al.
[11]
MoViNets: Mobile Video Networks for Efficient Video Recognition
2021D. Kondratyuk, Liangzhe Yuan et al.
[12]
Array programming with NumPy
2020Charles R. Harris, K. Millman et al.
[13]
Temporal Convolutional Networks Applied to Energy-Related Time Series Forecasting
2020Pedro Lara-Benítez, Manuel Carranza-García et al.
[14]
BindSpace decodes transcription factor binding signals by large-scale sequence embedding
2019Han Yuan, Meghana Kshirsagar et al.
[15]
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
2019Jacob Devlin, Ming-Wei Chang et al.
[16]
Temporal Convolutional Neural Network for the Classification of Satellite Image Time Series
2018Charlotte Pelletier, Geoffrey I. Webb et al.
[17]
Technical Note on Transcription Factor Motif Discovery from Importance Scores (TF-MoDISco) version 0.5.6.5
2018Avanti Shrikumar, Katherine Tian et al.
[18]
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
2018Shaojie Bai, J. Z. Kolter et al.
[19]
Accelerating the Machine Learning Lifecycle with MLflow
2018M. Zaharia, Andrew Chen et al.
[20]
Structural perspective of cooperative transcription factor binding.
2017E. Morgunova, J. Taipale

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"A deep learning framework for predicting transcription factor binding sites using multi-label classification."

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