Methyltransferase DNMT3B promotes colorectal cancer cell proliferation by inhibiting PLCG2 by Ji Yong, Wang Yang, Zou Jiacheng, Liu Guanghao, Xia Mingyu, Ren Jun, Wang Daorong

“…Our results show that DNMT3B is overexpressed in colorectal cells in the TCGA datasets according to Kaplan-Meier plots. DNMT3B is significantly overexpressed in tumor tissues compared to that in adjacent nontumor tissues. …”
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Assisted Parkinsonism Diagnosis Using Multimodal MRI—The Role of Clinical Insights by Tobias Meindl, Alexander Hapfelmeier, Tobias Mantel, Angela Jochim, Jonas Deppe, Silke Zwirner, Jan S. Kirschke, Yong Li, Bernhard Haslinger

“…Methods Retro‐ and prospectively collected data from multimodal MRI and standardized clinical datasets of 229 patients with PD (n = 167), PSP (n = 44), or MSA (n = 18) underwent multinomial classification in a benchmark study comparing the performance of nine machine learning methods. …”
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TDCN: A novel temporal depthwise convolutional network for short-term load forecasting by Mingping Liu, Chenxu Xia, Yuxin Xia, Suhui Deng, Yuhao Wang

“…To evaluate the effectiveness and generalization of the proposed model, experiments are conducted using two real-world datasets. Comparative experiments with other state-of-the-art methods are also performed. …”
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Single-cell sequencing uncovers the mechanistic role of DAPK1 in glioma and its diagnostic and prognostic implications by Tian-Hang Yu, Yan-Yu Ding, Yan-Yu Ding, Si-Guo Zhao, Jie-Hui Zhao, Yu Gu, Dong-Hui Chen, Fang Zhang, Wen-Ming Hong, Wen-Ming Hong

“…However, the precise role and underlying mechanisms of DAPK1 in gliomas remain inadequately understood.MethodsWe performed analyses on RNA-seq and microarray datasets from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO), in addition to single-cell RNA sequencing (scRNA-seq) data from glioma patients available in GEO. …”
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Multi-omics analysis in inclusion body myositis identifies mir-16 responsible for HLA overexpression by Daphne Wijnbergen, Mridul Johari, Ozan Ozisik, Peter A.C. ‘t Hoen, Friederike Ehrhart, Anaïs Baudot, Chris T. Evelo, Bjarne Udd, Marco Roos, Eleni Mina

“…Our analytical workflow can be reused as a method to study disease mechanisms involved in other diseases when multiple omics datasets are available.…”
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Spatiotemporal patterns in precipitation whiplash over China during 1901–2100 based on CMIP6 simulations by Honghao Luo, Nergui Nanding, Fuying Deng, Huan Wu, Zhijun Huang, Junxu Chen, Jiabin Peng, Bin Zhang

“…Multi-source observational datasets were also used to analyze the trend of precipitation whiplash indices for the current climate and to assess the ability of the CMIP6 ensemble model for reproducing the characteristics of precipitation whiplash events. …”
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Multi-omic and machine learning analysis of mitochondrial RNA modification genes in lung adenocarcinoma for prognostic and therapeutic implications by Xiao Zhang, Jiatao Liu, Yaolin Cao, Wei Wang, Haoran Lin, Yue Yu

“…Integrating multi-omic datasets, we systematically explored the molecular features of MRM-related genes across various cancers and identified distinct expression patterns and prognostic associations. …”
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Patient preferences for drug therapy in inflammatory arthritis: protocol for a living systematic review and evidence map to inform clinical practice guidelines by Rachelle Buchbinder, Peter Tugwell, Pablo Alonso-Coello, Mickael Hiligsmann, Nick Bansback, Laurie Proulx, Dawn P Richards, Wojtek Wiercioch, Glen Hazlewood, Samuel Whittle, Jordi Pardo Pardo, Marie Falahee, Holger Schünemann, Robby Nieuwlaat, Pakeezah Saadat, Simon Kuper

“…In the living model, we will publish updates and datasets on an Open Science Framework page, with periodic updates in peer-reviewed journals.…”
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Profiling the diversity of the village chicken faecal microbiota using 16S rRNA gene and metagenomic sequencing data to reveal patterns of gut microbiome signatures by Mxolisi Nene, Mxolisi Nene, Nokuthula Winfred Kunene, Rian Pierneef, Rian Pierneef, Rian Pierneef, Khanyisile Hadebe

“…This study aimed to investigate the diversity and functional capacities of the faecal microbiome in village chickens from Limpopo and KwaZulu-Natal provinces of South Africa.MethodsUsing a combination of 16S rRNA gene sequencing and shotgun metagenomic sequencing technologies, we analysed 98 16S rRNA and 72 metagenomic datasets. Taxonomic profiles and functional gene annotations were derived, focusing on microbial diversity, antibiotic resistance genes (ARGs), and potential zoonotic pathogens.ResultsTaxonomic analysis showed that the predominant phyla in both provinces were Firmicutes, Bacteroidota, Proteobacteria, and Actinobacteria. …”
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Assessing the impact of climate and land use change on flood vulnerability: a machine learning approach in coastal region of Tamil Nadu, India by Devanantham Abijith, Subbarayan Saravanan, K S S Parthasarathy, Nagireddy Masthan Reddy, Janardhanam Niraimathi, Ahmed Ali Bindajam, Javed Mallick, Maged Muteb Alharbi, Hazem Ghassan Abdo

“…To identify flooded areas, the study utilised Google Earth Engine (GEE), Sentinel-1 data, and 12 geospatial datasets from multiple sources. A random forest algorithm was used for LULC change and flood susceptibility mapping. …”
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Depression Detection in Social Media: A Comprehensive Review of Machine Learning and Deep Learning Techniques by Waleed Bin Tahir, Shah Khalid, Sulaiman Almutairi, Mohammed Abohashrh, Sufyan Ali Memon, Jawad Khan

“…We propose a generic architecture for these systems and present a detailed analysis of methodologies and datasets used for evaluation in this field. In addition, we highlight key open research areas, providing a useful starting point for further research and development. …”
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Metagenomic analysis of fungal assemblages at a regional scale in high-altitude temperate forest soils: alternative methods to determine diversity, composition and environmental dr... by Stephanie Hereira-Pacheco, Itzel Arias-Del Razo, Alejandra Miranda-Carrazco, Luc Dendooven, Arturo Estrada-Torres, Yendi E. Navarro-Noya

“…Potential hydrogen (pH), calcium (Ca), magnesium (Mg), and silt content were detected as common drivers of fungal communities across different datasets enriched towards a functional guild. Vegetation traits were found to be more influential in shaping symbiotrophic fungi composition than saprotrophic and pathogenic fungi. …”
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Detection and interpretation of the time-varying seasonal signals in China with multi-geodetic measurements by Liansheng Deng, Yugang Xiao, Qusen Chen, Wei Peng, Zhao Li, Hua Chen, Zhiwen Wu

“…In this study, we apply the singular spectrum analysis (SSA) method to characterize and interpret the periodic patterns of GNSS deformations in China using multiple geodetic datasets. These include 23-year observations from the Crustal Movement Observation Network of China (CMONOC), displacements inferred from the Gravity Recovery and Climate Experiment (GRACE), and loadings derived from Geophysical models (GM). …”
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Multi-channel spatio-temporal graph attention contrastive network for brain disease diagnosis by Chaojun Li, Kai Ma, Shengrong Li, Xiangshui Meng, Ran Wang, Daoqiang Zhang, Qi Zhu

“…Experiments on epilepsy and ADNI datasets show that our method outperforms several state-of-the-art approaches in diagnosing performance, and it provides discriminative graph features for related brain diseases.…”
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Integrated analysis of chromatin and transcriptomic profiling of the striatum after cerebral hypoperfusion in mice by Shijia Le, Fengyiyang Xu, Zhi Luo, Weihao Shi, Shuangshuang Lu, Zengyu Zhang, Zimin Guo, Wenshi Xu, Mingqi Yang, Tianyi Li, Xu Li, Kun Liang, Lei Zhu

“…The integration of these datasets allowed us to correlate chromatin accessibility with transcriptional activity and to identify key transcription factors driving the observed gene expression changes. …”
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Prognostic Significance and Therapeutic Potential of SERPINE1 in Head and Neck Squamous Cell Carcinoma by Changyu Zhu, Heshu Liu, Zhixin Li, Yijun Shi, Jingyang Zhao, Yuping Bai, Qian Chen, Wei Li

“…Methods and Results In this study, we delved into the variations in gene mutation, methylation patterns, and expression levels of SERPINE1 in head and neck squamous cell carcinoma (HNSCC) and normal tissues, leveraging comprehensive analyses of The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) datasets. The connection between the biological function of the gene and prognosis was scrutinized through immune infiltration and enrichment analyses. …”
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A Hierarchical Graph-Enhanced Transformer Network for Remote Sensing Scene Classification by Ziwei Li, Weiming Xu, Shiyu Yang, Juan Wang, Hua Su, Zhanchao Huang, Sheng Wu

“…HGTNet achieves classification accuracies of 98.47%, 95.75%, and 96.33% on the aerial image, NWPU-RESISC45, and OPTIMAL-31 datasets, respectively, demonstrating superior performance compared to other state-of-the-art models. …”
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Infrared Image Enhancement: A Review by Qingwang Wang, Pengcheng Jin, Yuhang Wu, Liyao Zhou, Tao Shen

“…Therefore, we have conducted a systematic investigation of the research advancements in the field of infrared image enhancement, encompassing infrared image enhancement methods, related datasets, and evaluation metrics, with the aim of exploring a research solution that could potentially break through current technological limitations. …”
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A Deep Learning-Based Approach for the Detection of Various Internet of Things Intrusion Attacks Through Optical Networks by Nouman Imtiaz, Abdul Wahid, Syed Zain Ul Abideen, Mian Muhammad Kamal, Nabila Sehito, Salahuddin Khan, Bal S. Virdee, Lida Kouhalvandi, Mohammad Alibakhshikenari

“…Comprehensive experiments on benchmark datasets, including KDD CUP99, UNSW NB15, and Bot-IoT, demonstrate XIoT’s exceptional accuracy rates of 99.34%, 99.61%, and 99.21%, respectively, significantly surpassing existing methods in both accuracy and interpretability. …”
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Tumour heterogeneity and personalized treatment screening based on single-cell transcriptomics by Xinying Zhang, Jiajie Xie, Zixin Yang, Carisa Kwok Wai Yu, Yaohua Hu, Jing Qin

“…Here, we collected five single-cell transcriptome datasets from patients with lung, breast, colorectal, gastric, and liver cancers and constructed multiple cancer blueprints of tumour cell heterogeneity. …”
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