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Method: Autoencoders for genomic variation analysis
- Margarita Geleta,
- Daniel Mas Montserrat,
- Xavier Giro-i-Nieto,
- and Alexander G. Ioannidis
Genome Res. February 2026 36: 348-360; Published in Advance January 20, 2026, doi:10.1101/gr.280086.124
...are needed in order to properly capture the genetic composition of populations. Here, we explore deep learning techniques, namely, variational autoencoders (VAEs), to process genomic data from a population perspective. We show the power of VAEs for a variety of tasks relating to the interpretation...
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Method: Polyomino reconstructs spatial transcriptomic profiles with single-cell resolution via a region-allocation method
- Quanyou Cai,
- Lihui Lin,
- Xin Liu,
- and Jiekai Chen
Genome Res. November 2025 35: 2513-2526; Published in Advance October 22, 2025, doi:10.1101/gr.280532.125
.... 2022), illustrating how Polyomino's region-aware assignment can uncover spatially restricted immune phenotypes (Fig. 5G,H) even within coarse Visium spots.DiscussionTo address the challenges in spatial transcriptome integration, we developed Polyomino, a framework that leverages multiple layers...
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Method: Unified integration of spatial transcriptomics across platforms with LLOKI
- Ellie Haber,
- Ajinkya Deshpande,
- Jian Ma,
- and Spencer Krieger
Genome Res. December 2025 35: 2722-2733; Published in Advance November 13, 2025, doi:10.1101/gr.280803.125
...challenges in ST data integration, LLOKI lays the groundwork for scalable, cross-technology spatial transcriptomics analysis, empowering researchers to uncover biologically meaningful patterns across diverse tissue samples and experimental conditions.MethodsLLOKI is a framework for integrating spatial...
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Method: Automated interpretable artificial intelligence genomic prediction with AlGP
- Lei Wei,
- Ziqin Jiang,
- Baoliang Fan,
- Yidan Yan,
- Zhenqiang Xu,
- Xiaoxiang Hu,
- and Yuzhe Wang
Genome Res. March 5, 2026 ; Published in Advance March 5, 2026, doi:10.1101/gr.281006.125
...a major genetic challenge. Traditional statistical methods (such as GBLUP and BayesR) have limitations, including reliance on artificial prior assumptions, and hard to capture epistatic effects. Machine learning (ML) has emerged as a powerful alternative for genomic prediction; however, it often struggles...
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Research: Transcriptomic landscape of transposable elements reveals LTR7-PLAAT4 as a potential oncogene and therapeutic target in pancreatic adenocarcinoma
- Meilong Shi,
- Chuanqi Teng,
- Shan Zhang,
- Xiaobo He,
- Lingyun Xu,
- Fengxian Han,
- Rongqi Wen,
- Ganjun Yu,
- Jingwen Liu,
- Yang Feng,
- Yanfeng Wu,
- Yan Ren,
- Gang Jin,
- and Jing Li
Genome Res. February 2026 36: 275-290; Published in Advance January 8, 2026, doi:10.1101/gr.280528.125
...310022, China; 9State Key Laboratory for Macromolecule Drugs and Large-scale Manufacturing, School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325030, China ↵10 These authors contributed equally to this work. Corresponding authors: wuyf@immunol.org, reny@genomics.cn, jingang...
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Method: Quantifying pathological progression from single-cell transcriptomic data with scPSS
- Samin Rahman Khan,
- M Saifur Rahman,
- M. Sohel Rahman,
- and Md Abul Hassan Samee
Genome Res. February 2026 36: 375-386; Published in Advance January 14, 2026, doi:10.1101/gr.280411.125
...-parameter yet robust statistical framework that provides an intuitive measure of cellular state changes, in line with the principle of Occam's Razor. In this study, we present scPSS and evaluate its performance across diverse data sets, highlighting its effectiveness in ranking pathological shifts without...
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Research: Genomic regulatory landscape underlying the antiviral response of Atlantic salmon
- Shahmir Naseer,
- Thomas C Clark,
- Bertrand Collet,
- Pooran Dewari,
- Damir Baranasic,
- Daniel J Macqueen,
- Pierre Boudinot,
- and Samuel A.M. Martin
Genome Res. October 22, 2025 gr.280579.125; Published in Advance October 22, 2025, doi:10.1101/gr.280579.125
.../ fish using transcriptomics, genomics and frames it in an evolutionary 546 perspective. 547 548 Materials and Methods 549 Animal studies 550 Juvenile Atlantic salmon (~70g) of commercial origin were maintained in 250L freshwater 551 tanks in the Zoology building aquarium at the University of Aberdeen...
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Method: A novel multislice framework for precision 3D spatial domain reconstruction and disease pathology analysis
- Daijun Zhang,
- Ren Qi,
- Xun Lan,
- and Bin Liu
Genome Res. August 2025 35: 1794-1808; Published in Advance July 14, 2025, doi:10.1101/gr.280281.124
...MSU-BIT University, Shenzhen, Guangdong 518172, China; 4Zhongguancun Academy, Beijing 100094, China Corresponding author: bliu@bliulab.netAbstractThe development of spatial transcriptomics (ST) technologies has revolutionized the way we map the complex organization and functions of tissues...
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Method: STCC enhances spatial domain detection through consensus clustering of spatial transcriptomics data
- Congcong Hu,
- Nana Wei,
- Jiyuan Yang,
- Hua-Jun Wu,
- and Xiaoqi Zheng
Genome Res. June 2025 35: 1415-1428; Published in Advance May 12, 2025, doi:10.1101/gr.280031.124
...clustering framework for spatial transcriptomics data that aggregates outcomes from state-of-the-art tools using a variety of consensus strategies, including Onehot-based, average-based, hypergraph-based, and wNMF-based methods. Comprehensive assessments on simulated and real data from distinct experimental...
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Method: Joint imputation and deconvolution of gene expression across spatial transcriptomics platforms
- Hongyu Zheng,
- Hirak Sarkar,
- and Benjamin J. Raphael
Genome Res. December 2025 35: 2734-2743; Published in Advance November 17, 2025, doi:10.1101/gr.280555.125
...and simultaneously performs imputation on a high spatial resolution targeted SRT data set and deconvolution on a low spatial resolution SRT data set. We demonstrate SIID on 10x Genomics Xenium and Visium data sets where we infer a latent single-cell whole transcriptome SRT data set that simultaneously imputes...
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