Utilizing sc-linker to integrate single-cell RNA sequencing and human genetics to identify cell types and driver genes associated with non-small cell lung cancer by Yangfan Zhou, Liang Zhao, Meimei Cai, Doudou Luo, Yizhen Pang, Jianhao Chen, Qicong Luo, Qin Lin

“…Conclusions By integrating scRNA-seq, epigenomic, and GWAS datasets, we found that ACT2 and CAFs have specific disease heritability in lung cancer and identified the driver gene RAB31 as a potential therapeutic target.…”
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Modifiable risk factors for anemia among women of childbearing age in sub-saharan Africa (2015–2023) by Beminate Lemma Seifu, Yohannes Mekuria Negussie, Angwach Abrham Asnake, Bezawit Melak Fente, Zufan Alamrie Asmare, Mamaru Melkam, Meklit Melaku Bezie, Alemayehu Kasu Gebrehana, Sintayehu Simie Tsega, Hiwot Atlaye Asebe

“…Methods We conducted an analysis of the most recent Demographic and Health Surveys datasets from 21 Sub-Saharan Africa (SSA) countries, which were carried out between 2015 and 2023. …”
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Identification and susceptibility assessment of landslide disasters in the red bed formation along the Nanjian-Jingdong Expressway by Yifan Cao, Zhifang Zhao, Mingchun Wen, Xin Zhao, Dingyi Zhou, Jingyi Qin, Liu Ouyang, Jingyao Cao

“…The results indicate that: (1) the analysis of 245 datasets of ascending and descending orbits from 2017 to 2022 yielded deformation rates, with maximum positive and negative deformation rates of 37.02 mm/yr and −46.47 mm/yr, respectively. …”
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RETRACTED ARTICLE: A prospective diagnostic model for breast cancer utilizing machine learning to examine the molecular immune infiltrate in HSPB6 by Lizhe Wang, Yu Wang, Yueyang Li, Li Zhou, Sihan Liu, Yongyi Cao, Yuzhi Li, Shenting Liu, Jiahui Du, Jin Wang, Ting Zhu

“…The objective of this research was to perform bioinformatics analyses on breast cancer-related datasets to gain a comprehensive understanding of the molecular mechanisms at play and to identify key genes associated with the disease. …”
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A comparative machine learning study of schizophrenia biomarkers derived from functional connectivity by Victoria Shevchenko, R. Austin Benn, Robert Scholz, Wei Wei, Carla Pallavicini, Ulysse Klatzmann, Francesco Alberti, Theodore D. Satterthwaite, Demian Wassermann, Pierre-Louis Bazin, Daniel S. Margulies

“…To this end, we leveraged data of 936 individuals from three large open-access datasets: COBRE, LA5c, and SRPBS-1600. We developed a pipeline which allows us to aggregate over a million different features and assess their predictive potential in a single, computationally efficient experiment. …”
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Electrocardiography-based artificial intelligence predicts the upcoming future of heart failure with mildly reduced ejection fraction by Dae-Young Kim, Sang-Won Lee, Dong-Ho Lee, Sang-Chul Lee, Sang-Chul Lee, Ji-Hun Jang, Sung-Hee Shin, Dae-Hyeok Kim, Dae-Hyeok Kim, Wonik Choi, Wonik Choi, Yong-Soo Baek, Yong-Soo Baek, Yong-Soo Baek

“…This study aimed to develop artificial intelligence (AI)-electrocardiography (ECG) to identify and predict the prognosis of patients with HFmrEF.MethodsWe collected 104,336 12-lead ECG datasets from April 2009 to December 2021 in a tertiary centre. …”
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Revisiting ABC Transporters and Their Clinical Significance in Glioblastoma by Brandon Wee Siang Phon, Shalini Sundramurthi Chelliah, Dina El-Rabie Osman, Saatheeyavaane Bhuvanendran, Ammu Kutty Radhakrishnan, Muhamad Noor Alfarizal Kamarudin

“…Staple GBM phenotypes, such as GBM stem cells and increased activation of the PI3K/Akt/NF-κB pathway, have been implicated in the expression of several ABC transporters. Using the datasets in The Cancer Genome Atlas and Gene Expression Omnibus, we found upregulated ABC transporters that either negatively impacted survival in univariate analyses (ABCA1, ABCA13, ABCB9, ABCD4) or were independent negative prognosis factors for patients with GBM (ABCA13, ABCB9). …”
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A DNA-Methylated Sight on Autoimmune Inflammation Network across RA, pSS, and SLE by Xingqiang Wang, Dongyun Lei, Jie Ding, Shuang Liu, Li Tao, Fan Zhang, Jiangyun Peng, Jian Xu

“…In this study, we integrated 5 Cytokine-Chips from genome-wide DNA methylation datasets of the 3 kind of AIDs, delta-beta value was calculated for intergroup difference, and comprehensive bioinformatics analyses of cytokine genes with aberrant methylations were performed. 125 shared differential methylation variabilities (DMVs) were identified. …”
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TOM40 as a prognostic oncogene for oral squamous cell carcinoma prognosis by Lifei Deng, Hong Ran, Dunhui Yang, Zhen Wang, Peng Zhao, Hengjie Huang, Yongjin Wu, Peng Zhang

“…Methods TOM40 expression level in OSCC was evaluated using datasets downloaded from The Cancer Genome Atlas (TCGA), as well as clinical data. …”
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Assessment of Hydrologic Data Estimates From ERA5 Reanalyses in Benin, West Africa by René Bodjrènou, Luc Ollivier Sintondji, Yekambessoun M' Po N'Tcha, Diane Germain, Francis Esse Azonwade, Fernand Sohindji, Gilbert Hounnou, Edid Amouzouvi, Arthur Freud Segnon Kpognin, Françoise Comandan

“…Correcting the variables of these reanalysis datasets could also improve their performance.…”
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Defining indicators for disease burden, health outcomes, policies and barriers and facilitators to health services for migrant populations in the Middle East and North African regi... by Charles Agyemang, Ali Ardalan, Farah Seedat, Bouchra Assarag, Nuria Casamitjana, Kolitha Wickramage, Sally Hargreaves, Ana Requena-Mendez, Fouad M Fouad, Dominik Zenner, Anna Deal, Stella Evangelidou, Wafa Saidi, Chiaki Ito, Oumnia Bouaddi, Moudrick Abdellatifi, Alba Cuxart-Graell, Hassan Edries, Eman Elafef, Taha Maatoug, Anissa Ouahchi, Liv Mathilde Pampiri, Sara Arias, Adel Abdelkhalek, Ahmed Hamed Arisha, Ibrahim Ahmed Bani, Aasmaa Chaoui, Wafa Chemao-Elfihri, Kenza Hassouni, Mahmoud Hilali, Mohamed Khalis, Wejdene Mansour, Ali Mtiraoui, MENA Migrant Health Working Group, Asad Adam, Adnene Ben Haj Aissa, Salma Altyib, Hanen Ben Belgacem, Imane Belkhammar, Thomas Calvot, Luciana Ceretti, Nelly Chavassieux, Hassan Chrifi, Mohamed Douagi, Algdail Elnil, Gonzalo Fanjul, Ahmed Hamed, Abdedayem Khelifi, Lora Makhlouf, Maissa Mokni, Davide Olchini, Tarik Oufkir, Nasong Park, Giuseppe Raffa, Sandra Santafé, Alice Sironi, Fatma Temimi, Zeineb Turki

“…We will search for grey literature by hand searching key databases and websites (including regional organisations and MoH websites) for country-specific guidelines and talking to our network of experts for local and regional reports and key datasets. We will assess the studies and policies for their quality using appropriate tools. …”
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Spatially resolved transcriptomics reveals gene expression characteristics in uveal melanoma by Jing-Ying Xiu, Yu-Ning Chen, Ya-Li Mao, Jing-Ting Luo, Hao-Wen Li, Yang Li, Wen-Bin Wei

“…Differentially expressed genes (DEGs) and survival analysis based on datasets from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) database further confirmed the correlation between cellular distribution and clinical prognosis. …”
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Bridging animal models and humans: neuroimaging as intermediate phenotypes linking genetic or stress factors to anhedonia by Huiling Guo, Yao Xiao, Shuai Dong, Jingyu Yang, Pengfei Zhao, Tongtong Zhao, Aoling Cai, Lili Tang, Juan Liu, Hui Wang, Ruifang Hua, Rongxun Liu, Yange Wei, Dandan Sun, Zhongchun Liu, Mingrui Xia, Yong He, Yankun Wu, Tianmei Si, Fay Y. Womer, Fuqiang Xu, Yanqing Tang, Jie Wang, Weixiong Zhang, Xizhe Zhang, Fei Wang

“…Methods We analyzed datasets from both rodents and humans. The rodent studies included a genetic model (P11 knockout) and an environmental stress model (chronic unpredictable mild stress), while the human data comprised 748 participants from three cohorts. …”
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Investigation of a Novel Noninvasive Risk Analytics Algorithm With Laboratory Central Venous Oxygen Saturation Measurements in Critically Ill Pediatric Patients by Sarah A. Teele, MD, MSHPEd, Avihu Z. Gazit, MD, Craig Futterman, MD, William G. La Cava, PhD, David S. Cooper, MD, MPH, MBA, Steven M. Schwartz, MD, MS, Joshua W. Salvin, MD, MPH

“…Area under the receiver operating characteristic curve (AUC) was calculated for each index threshold. Datasets with greater amounts of available data had larger AUC scores. …”
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Causal relationship of familial hypercholesterolemia with risk of intestinal vascular disorders: A mendelian randomization study by Gang Wei, Cheng Zhang, Feng-Jie Shen, Hua-Qi Guo, Lin Liu

“…Methods: A Mendelian randomization (MR) analysis was performed by extracting summary-level datasets for FH or FH concurrently with ischemic heart disease (IHD) and intestinal vascular diseases from the FinnGen study including 329,115, 316,290 and 350,505 individuals. …”
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Influence of environmental variables and anthropogenic activities on soda-saline lakes chemistry in northern Tanzania: A remote sensing and GIS approach by Azaria Stephano Lameck, Brian Rotich, Abdalrahman Ahmed, Harison K. Kipkulei, Peto Akos, Emil Boros

“…Satellite-based rainfall data were sourced from the Climate Hazards Group Infrared Precipitation with Station (CHIRPS) datasets, and temperature data were obtained from MERRA-2. …”
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Identification and verification of autophagy-related gene signatures and their association with immune infiltration and drug responsiveness in epilepsy by Han-han He, Xiao-ge Zhang, Fen-fang Chen

“…However, the precise mechanisms by which autophagy deficiencies involved in epileptogenesis are still not fully understood.MethodsTwo datasets of epilepsy (GSE143272 and GSE256068) were downloaded from the Gene Expression Omnibus (GEO) database. …”
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Analysing DNA methylation and transcriptomic signatures to predict prostate cancer recurrence risk by Fahad M. Aldakheel, Hadeel Alnajran, Shatha A. Alduraywish, Ayesha Mateen, Mohammed S. Alqahtani, Rabbani Syed

“…This study employs a machine learning approach to identify DNA methylation and RNA expression biomarkers predictive of PCa recurrence using datasets from The Cancer Genome Atlas (TCGA). We analyzed 49,133 genes, identifying 684 differentially methylated genes (DMGs) and 691 differentially expressed genes (DEGs) between recurrence and non-recurrence groups. …”
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Social media discourse and internet search queries on cannabis as a medicine: A systematic scoping review. by Christine Mary Hallinan, Sedigheh Khademi Habibabadi, Mike Conway, Yvonne Ann Bonomo

“…It also demonstrates the need for the development of a systematic approach for evaluating the quality of social media studies and highlights the utility of automatic processing and computational methods (machine learning technologies) for large social media datasets. This systematic scoping review has shown that user-generated content as a data source for studying cannabis as a medicine provides another means to understand how cannabis is perceived and used in the community. …”
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Screening of necroptosis-related genes and evaluating the prognostic capacity, clinical value, and the effect of their copy number variations in acute myeloid leukemia by Dake Wen, Ru Yan, Lin Zhang, Haoyang Zhang, Xuyang Chen, Jian Zhou

“…CNV analysis of the hub-NRDEGs was carried out on the TCGA-LAML datasets from the TCGA database. Kaplan–Meier (K-M) survival analyses were utilized to evaluate the prognostic values along with Cox model. …”
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