Lab Retriever: a software tool for calculating likelihood ratios incorporating a probability of drop-out for forensic DNA profiles by Keith Inman, Norah Rudin, Ken Cheng, Chris Robinson, Adam Kirschner, Luke Inman-Semerau, Kirk E. Lohmueller

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DMoVGPE: predicting gut microbial associated metabolites profiles with deep mixture of variational Gaussian Process experts by Qinghui Weng, Mingyi Hu, Guohao Peng, Jinlin Zhu

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SCNT: an R package for data analysis and visualization of single-cell and spatial transcriptomics by Jianbo Qing, Jialu Wu, Yafeng Li, Junnan Wu

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DconnLoop: a deep learning model for predicting chromatin loops based on multi-source data integration by Junfeng Wang, Kuikui Cheng, Chaokun Yan, Huimin Luo, Junwei Luo

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metaGEENOME: an integrated framework for differential abundance analysis of microbiome data in cross-sectional and longitudinal studies by Ahmed Abdelkader, Nur A. Ferdous, Mohamed El-Hadidi, Tomasz Burzykowski, Mohamed Mysara

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HPC-T-Assembly: a pipeline for de novo transcriptome assembly of large multi-specie datasets by Franco Liberati, Taiel Maximiliano Pose Marino, Paolo Bottoni, Daniele Canestrelli, Tiziana Castrignanò

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SC2Spa: a deep learning based approach to map transcriptome to spatial origins at cellular resolution by Linbu Liao, Esha Madan, António M. Palma, Hyobin Kim, Amit Kumar, Praveen Bhoopathi, Robert Winn, Jose Trevino, Paul Fisher, Cord Herbert Brakebusch, Gahyun Kim, Junil Kim, Rajan Gogna, Kyoung Jae Won

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NetStart 2.0: prediction of eukaryotic translation initiation sites using a protein language model by Line Sandvad Nielsen, Anders Gorm Pedersen, Ole Winther, Henrik Nielsen

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BioLake: an RNA expression analysis framework for prostate cancer biomarker powered by data lakehouse by Qiaowang Li, Yaser Gamallat, Jon George Rokne, Tarek A. Bismar, Reda Alhajj

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Not seeing the trees for the forest. The impact of neighbours on graph-based configurations in histopathology by Olga Fourkioti, Matt De Vries, Reed Naidoo, Chris Bakal

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BASE: a web service for providing compound-protein binding affinity prediction datasets with reduced similarity bias by Hyojin Son, Sechan Lee, Jaeuk Kim, Haangik Park, Myeong-Ha Hwang, Gwan-Su Yi

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Rprot-Vec: a deep learning approach for fast protein structure similarity calculation by Yichuan Zhang, Wen Zhang

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PxBLAT: an efficient python binding library for BLAT by Yangyang Li, Rendong Yang

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Soft graph clustering for single-cell RNA sequencing data by Ping Xu, Pengfei Wang, Zhiyuan Ning, Meng Xiao, Min Wu, Yuanchun Zhou

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optRF: Optimising random forest stability by determining the optimal number of trees by Thomas M. Lange, Mehmet Gültas, Armin O. Schmitt, Felix Heinrich

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DeepMiRBP: a hybrid model for predicting microRNA-protein interactions based on transfer learning and cosine similarity by Sasan Azizian, Juan Cui

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PPI-Graphomer: enhanced protein-protein affinity prediction using pretrained and graph transformer models by Jun Xie, Youli Zhang, Ziyang Wang, Xiaocheng Jin, Xiaoli Lu, Shengxiang Ge, Xiaoping Min

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RMDNet: RNA-aware dung beetle optimization-based multi-branch integration network for RNA–protein binding sites prediction by Jiangbo Zhang, Yunhui Peng, Feifei Cui, Zilong Zhang, Shankai Yan, Qingchen Zhang

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HIMA2: high-dimensional mediation analysis and its application in epigenome-wide DNA methylation data by Chamila Perera, Haixiang Zhang, Yinan Zheng, Lifang Hou, Annie Qu, Cheng Zheng, Ke Xie, Lei Liu

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An alignment-free method for phylogeny estimation using maximum likelihood by Tasfia Zahin, Md. Hasin Abrar, Mizanur Rahman Jewel, Tahrina Tasnim, Md. Shamsuzzoha Bayzid, Atif Rahman

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