Dimensionality reduction by UMAP for visualizing and aiding in classification of imaging flow cytometry data by Ireneusz Stolarek, Anna Samelak-Czajka, Marek Figlerowicz, Paulina Jackowiak

Subjects: “…Automation in bioinformatics…”
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New open-source software for subcellular segmentation and analysis of spatiotemporal fluorescence signals using deep learning by Sharif Amit Kamran, Khondker Fariha Hossain, Hussein Moghnieh, Sarah Riar, Allison Bartlett, Alireza Tavakkoli, Kenton M. Sanders, Salah A. Baker

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ADEPT: Autoencoder with differentially expressed genes and imputation for robust spatial transcriptomics clustering by Yunfei Hu, Yuying Zhao, Curtis T. Schunk, Yingxiang Ma, Tyler Derr, Xin Maizie Zhou

Subjects: “…Automation in bioinformatics…”
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Generative pretraining from large-scale transcriptomes for single-cell deciphering by Hongru Shen, Jilei Liu, Jiani Hu, Xilin Shen, Chao Zhang, Dan Wu, Mengyao Feng, Meng Yang, Yang Li, Yichen Yang, Wei Wang, Qiang Zhang, Jilong Yang, Kexin Chen, Xiangchun Li

Subjects: “…Automation in bioinformatics…”
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Generic medical concept embedding and time decay for diverse patient outcome prediction tasks by Yupeng Li, Wei Dong, Boshu Ru, Adam Black, Xinyuan Zhang, Yuanfang Guan

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MitoSegNet: Easy-to-use Deep Learning Segmentation for Analyzing Mitochondrial Morphology by Christian A. Fischer, Laura Besora-Casals, Stéphane G. Rolland, Simon Haeussler, Kritarth Singh, Michael Duchen, Barbara Conradt, Carsten Marr

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Deep learning predicts chromosomal instability from histopathology images by Zhuoran Xu, Akanksha Verma, Uska Naveed, Samuel F. Bakhoum, Pegah Khosravi, Olivier Elemento

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