An experimentally supported model of the Bacillus subtilis global transcriptional regulatory network by Mario L Arrieta‐Ortiz, Christoph Hafemeister, Ashley Rose Bate, Timothy Chu, Alex Greenfield, Bentley Shuster, Samantha N Barry, Matthew Gallitto, Brian Liu, Thadeous Kacmarczyk, Francis Santoriello, Jie Chen, Christopher DA Rodrigues, Tsutomu Sato, David Z Rudner, Adam Driks, Richard Bonneau, Patrick Eichenberger

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MultiGNN: A Graph Neural Network Framework for Inferring Gene Regulatory Networks from Single-Cell Multi-Omics Data by Dongbo Liu, Hao Chen, Jianxin Wang, Yeru Wang

Subjects: “…network inference…”
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Few regulatory metabolites coordinate expression of central metabolic genes in Escherichia coli by Karl Kochanowski, Luca Gerosa, Simon F Brunner, Dimitris Christodoulou, Yaroslav V Nikolaev, Uwe Sauer

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Enhancing Medical Data Privacy: Neural Network Inference with Fully Homomorphic Encryption by Maulyanda Maulyanda, Rini Deviani, Afdhaluzzikri Afdhaluzzikri

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Reconstructing Molecular Networks by Causal Diffusion Do‐Calculus Analysis with Deep Learning by Jiachen Wang, Yuelei Zhang, Luonan Chen, Xiaoping Liu

Subjects: “…causal network inference…”
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Graphical representation of landscape heterogeneity identification through unsupervised acoustic analysis by Maria J. Guerrero, Camilo Sánchez‐Giraldo, César A. Uribe, Víctor M. Martínez‐Arias, Claudia Isaza

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Harnessing Unsupervised Ensemble Learning for Biomedical Applications: A Review of Methods and Advances by Mehmet Eren Ahsen

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PGBTR: a powerful and general method for inferring bacterial transcriptional regulatory networks by Wei-Cheng Gu, Bin-Guang Ma

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Fast and fair split computing for accelerating deep neural network (DNN) inference by Dongju Cha, Jaewook Lee, Daeyoung Jung, Sangheon Pack

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Network inference with hidden units by Joanna Tyrcha, John Hertz

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Optimized network inference for immune diseased single cells by Elena Merino Tejero, Dwain Jude Vaz, Guillermo Barturen, Guillermo Barturen, Guillermo Barturen, María Rivas-Torrubia, Marta E. Alarcón-Riquelme, Marta E. Alarcón-Riquelme, Walter Kolch, Walter Kolch, David Matallanas

Subjects: “…network inference…”
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Optimizing machine learning for network inference through comparative analysis of model performance in synthetic and real-world networks by Ruby Khan, Sumbal Khan, Bakht Pari, Krzysztof Puszynski

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Cross-validation for training and testing co-occurrence network inference algorithms by Daniel Agyapong, Jeffrey Ryan Propster, Jane Marks, Toby Dylan Hocking

Subjects: “…Co-occurrence network inference…”
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Leveraging prior knowledge to infer gene regulatory networks from single-cell RNA-sequencing data by Marco Stock, Corinna Losert, Matteo Zambon, Niclas Popp, Gabriele Lubatti, Eva Hörmanseder, Matthias Heinig, Antonio Scialdone

Subjects: “…Gene Regulatory Network Inference…”
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Transcription Factor Protein (TFP)-Trait Relationships During Sugarcane Internode Development by Frederik C. Botha, Annelie Marquardt

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Hybrid causal inference framework for long-chain drought propagation networks: Combining convergent cross-mapping and generalized random forest by Jiayou Wang, Zhi Li, Yaning Chen, Shiru Han, Lingxin Kong

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