TwinCell Blueprint: Foundation for AI-Assisted Cell Reprogramming
PAPERS
Ronquist S, Patterson G, Muir LA, Lindsly S, Chen H, Brown M, Wicha MS, Bloch A, Brockett R, Rajapakse I. "Algorithm for cellular reprogramming." Proceedings of the National Academy of Sciences. 2017 Nov 7;114(45):11832-7. Data-guided Control (DGC) Supporting Information
Chen H, Chen J, Muir LA, Ronquist S, Meixner W, Ljungman M, Ried T, Smale S, Rajapakse I. "Functional Organization of the Human 4D Nucleome. " Proceedings of the National Academy of Sciences 112.26 (2015): 8002-8007. Supporting Information
Böttcher, Lucas, Nino Antulov-Fantulin, and Thomas Asikis. "AI Pontryagin or how artificial neural networks learn to control dynamical systems." Nature communications 13.1 (2022): 333.
Yang, Fan, et al. "scBERT as a large-scale pretrained deep language model for cell type annotation of single-cell RNA-seq data." Nature Machine Intelligence 4.10 (2022): 852-866.
Geshkovski, Borjan, et al. "The emergence of clusters in self-attention dynamics." arXiv preprint arXiv:2305.05465 (2023).
Chen, Ricky TQ, et al. "Neural ordinary differential equations." Advances in neural information processing systems 31 (2018).
Feng, Jiarui, et al. "PathFinder: a novel graph transformer model to infer multi-cell intra-and inter-cellular signaling pathways and communications." bioRxiv (2024): 2024-01.
Consens, Micaela E., et al. "To Transformers and Beyond: Large Language Models for the Genome." arXiv preprint arXiv:2311.07621 (2023).
Khan, Sumeer Ahmad, et al. "Reusability report: Learning the transcriptional grammar in single-cell RNA-sequencing data using transformers." Nature Machine Intelligence 5.12 (2023): 1437-1446.
Geshkovski, Borjan, et al. "A mathematical perspective on Transformers." arXiv preprint arXiv:2312.10794 (2023).
Vaswani, Ashish, et al. "Attention is all you need." Advances in neural information processing systems 30 (2017).
Schubert, Ingmar, et al. "A Generalist Dynamics Model for Control." arXiv preprint arXiv:2305.10912 (2023).
Dotson, Gabrielle A., Can Chen, Stephen Lindsly, Anthony Cicalo, Sam Dilworth, Charles Ryan, Sivakumar Jeyarajan et al. "Deciphering Multi-way Interactions in the Human Genome." Nature Communications 13, no. 1 (2022): 5498.
He, Zhen, et al. "Mosaic integration and knowledge transfer of single-cell multimodal data with MIDAS." Nature Biotechnology (2024): 1-12.
Li, Q., Hu, Z., Wang, Y., Li, L., Fan, Y., King, I., ... & Li, Y. (2024). "Progress and Opportunities of Foundation Models in Bioinformatics." arXiv preprint arXiv:2402.04286.
K. Kawaharazuka, T. Matsushima, A. Gambardella, J. Guo, C. Paxton, and A. Zeng, “Real-World Robot Applications of Foundation Models: A Review.” arXiv, Feb. 08, 2024
Gemini Team et al., “Gemini: A Family of Highly Capable Multimodal Models.” arXiv, Dec. 18, 2023
C. V. Theodoris et al., “Transfer learning enables predictions in network biology,” Nature, vol. 618, no. 7965, pp. 616–624, Jun. 2023
W. Hou and Z. Ji, “Assessing GPT-4 for cell type annotation in single-cell RNA-seq analysis,” Nat Methods, pp. 1–4, Mar. 2024
H. Cui et al., “scGPT: toward building a foundation model for single-cell multi-omics using generative AI,” Nat Methods, pp. 1–11, Feb. 2024
V. Sharma and V. Raman, “A reliable knowledge processing framework for combustion science using foundation models,” Energy and AI, vol. 16, p. 100365, May 2024
X. Qiu et al., “Mapping transcriptomic vector fields of single cells,” Cell, p. S0092867421015774, Feb. 2022.
Schiebinger, Geoffrey, et al. "Optimal-transport analysis of single-cell gene expression identifies developmental trajectories in reprogramming." Cell 176.4 (2019): 928-943.
OTHER RESOURCES
Graph Attention Networks: https://petar-v.com/GAT/
NVIDIA and other related sites etc....