Analyzing Adherence to Prenatal Supplement: Does Pill Count Measure Up? by Kristie E. Appelgren, Paul J. Nietert, Thomas C. Hulsey, Bruce W. Hollis, Carol L. Wagner

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Prevalence of Corneal Astigmatism in Patients before Cataract Surgery in Northern China by Xiaoyong Yuan, Hui Song, Gang Peng, Xia Hua, Xin Tang

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Omics based technology application in poultry meat research by Huaijun Zhou, Austin Quach, Mahesh Nair, Behnam Abasht, Byungwhi Kong, Brian Bowker

“…The purpose of this symposium was not only to focus on how recent omics technologies can be used to gather, integrate, and interpret data produced by various methodologies in poultry research, but also to highlight how omics and bioinformatics have increased our understanding of poultry meat quality problems and other complex traits. …”
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Considerations in the search for epistasis by Marleen Balvert, Johnathan Cooper-Knock, Julian Stamp, Ross P. Byrne, Soufiane Mourragui, Juami van Gils, Stefania Benonisdottir, Johannes Schlüter, Kevin Kenna, Sanne Abeln, Alfredo Iacoangeli, Joséphine T. Daub, Brian L. Browning, Gizem Taş, Jiajing Hu, Yan Wang, Elham Alhathli, Calum Harvey, Luna Pianesi, Sara C. Schulte, Jorge González-Domínguez, Erik Garrisson, Lorentz workshop on epistasis, Michael P. Snyder, Alexander Schönhuth, Letitia M. F. Sng, Natalie A. Twine

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Identifiability of mathematical models in medical biology by S. I. Kabanikhin, D. A. Voronov, A. A. Grodz, O. I. Krivorotko

“…Analysis of biological data is a key topic in bioinformatics, computational genomics, molecular modeling and systems biology. …”
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The influence of depth on the global deep-sea plasmidome by Melany Calderón-Osorno, Dorian Rojas-Villalta, Franck Lejzerowicz, Jorge Cortés, Maria Arias-Andres, Keilor Rojas-Jimenez

“…In this paper we implemented a bioinformatics pipeline to study the composition, diversity, and functional attributes of plasmid communities (plasmidome) in 81 deep-sea metagenomes from the Tara and Malaspina expeditions, sampled from the Pacific, Atlantic, and Indian Oceans at depths ranging from 270 to 4005 m. …”
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Study on the Correlation between Interleukin-27 and CXCL10 in Pulmonary Tuberculosis by Jiahui Fan, Yefeng Yang, Liang Wang, Xiaoqian Shang, Li Zhang, Hu Sun, Yujie Ma, Ying Li, Jing Wang, Xiumin Ma

“…To investigate the correlation between interleukin-27 and CXCL10 and other cytokines in pulmonary tuberculosis and to further explore the related miRNAs through bioinformatics. Methods. Collect the lesion tissue and peripheral blood of pulmonary tuberculosis patients and the peripheral blood of healthy controls. …”
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Frugivore Traits Predict Plant–Frugivore Interactions Using Generalized Joint Attribute Modeling by Laurel R. Yohe, Leith B. Leiser‐Miller, Zofia A. Kaliszewska, Susan R. Whitehead, Sharlene E. Santana, Liliana M. Dávalos

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Machine Learning-Based Integrated Analysis of PANoptosis Patterns in Acute Myeloid Leukemia Reveals a Signature Predicting Survival and Immunotherapy by Lanlan Tang, Wei Zhang, Yang Zhang, Wenjun Deng, Mingyi Zhao

“…We conducted a meticulous bioinformatics analysis leveraging expression data of 226 PANRGs obtained from previous studies, as well as clinical data from AML patients derived from the HOVON database. …”
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Cell Differentiation Trajectory Predicts Prognosis and Immunotherapeutic Response in Clear Cell Renal Cell Carcinoma by Jin Xu, Xi Chen, Yinyu Chen, Qiushuang Wang, Yingliang Jin, Huashuo Zhao

“…In this study, we explored the differentiation status of ccRCC cells and its significance in prognosis and immunotherapeutic response through bioinformatics. We characterized distinct differentiation states and differentiation-related genes (DRGs) in ccRCC cells through single cell RNA sequencing (scRNA-seq) analysis. …”
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GNG2 inhibits brain metastases from colorectal cancer via PI3K/AKT/mTOR signaling pathway by Chenhua Luo, ZhiMing Xiao, WenLong Yang

“…This study identifies GNG2 as a key regulator in metastatic colorectal cancer (mCRC) through bioinformatics analysis and experimental validation. Functional enrichment analyses reveal that GNG2 is related to the PI3K/AKT/mTOR signaling pathway and cell cycle regulation. …”
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Fenofibrate Exerts Antitumor Effects in Colon Cancer via Regulation of DNMT1 and CDKN2A by Rui Kong, Nan Wang, Wei Han, Wen Bao, Jie Lu

“…Recently, the potential role of PPARA in other pathological conditions, such as cancers, has been recognized. Here, using bioinformatics analysis, we found that PPARA was expressed at relatively low levels in pancancers, and Kaplan-Meier analyses revealed that high PPARA protein expression was correlated with better survival of patients with colon cancer. …”
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PSMA2 promotes chemo- and radioresistance of oral squamous cell carcinoma by modulating mitophagy pathway by Chun-I Wang, Cheng-Yi Chen, Ting-Wen Chen, Chun-Chia Cheng, Shu-Wen Hong, Tsung-You Tsai, Kai-Ping Chang

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Immunoinformatic Analysis of Calcium-Dependent Protein Kinase 7 (CDPK7) Showed Potential Targets for Toxoplasma gondii Vaccine by Ali Taghipour, Sanaz Tavakoli, Mohamad Sabaghan, Masoud Foroutan, Hamidreza Majidiani, Shahrzad Soltani, Milad Badri, Ali Dalir Ghaffari, Sheyda Soltani

“…Apicomplexan parasites, including Toxoplasma gondii (T. gondii), express different types of calcium-dependent protein kinases (CDPKs), which perform a variety of functions, including attacking and exiting the host cells. In the current bioinformatics study, we have used several web servers to predict the basic features and specifications of the CDPK7 protein. …”
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Advancing workforce development and scientific collaboration: A novel resource for biostatistical education by Emily Slade, Claudine T. Jurkovitz, Shari Messinger, Robert A. Oster, Gina-Maria Pomann, Sandra L. Taylor, Ann M. Brearley

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Bio-primed machine learning to enhance discovery of relevant biomarkers by David M. Henke, Alexander Renwick, Joseph R. Zoeller, Jitendra K. Meena, Nicholas J. Neill, Elizabeth A. Bowling, Kristen L. Meerbrey, Thomas F. Westbrook, Lukas M. Simon

“…Traditional statistical methods often fall short in this context, necessitating novel computational approaches that harness the full potential of big data in bioinformatics. Here, we introduce a novel machine learning approach extending the Least Absolute Shrinkage and Selection Operator (LASSO) regression framework to incorporate biological knowledge, such as protein-protein interaction databases, into the regularization process. …”
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A Hybrid Approach for Modular Neural Network Design Using Intercriteria Analysis and Intuitionistic Fuzzy Logic by Sotir Sotirov, Evdokia Sotirova, Vassia Atanassova, Krassimir Atanassov, Oscar Castillo, Patricia Melin, Todor Petkov, Stanimir Surchev

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On the current and future potential of simulations based on directed acyclic graphs by Lutz P. Breitling, Anca D. Dragomir, Chongyang Duan, George Luta

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Novel transcripts of EMT driving the malignant transformation of oral submucous fibrosis by Smitha Sammith Shetty, Kanaka Sai Ram Padam, Mohit Sharma, Adarsh Kudva, Pratik Patel, Raghu Radhakrishnan

“…The curated EMT genes were correlated with functional cancer states and subjected to clustering to identify candidate genes. Integration of bioinformatics and proteomics led to the discovery of the EMT genes MMP9, SPARC, and ITGA5 as novel candidates. …”
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Genomic Variability among Field Isolates and Laboratory-Adapted Strains of Leptospira borgpetersenii Serovar Hardjo by Alejandro Llanes, Carlos Mario Restrepo, Pablo Riesgo-Ferreiro, Sreekumari Rajeev

“…In addition, the bioinformatics methodology used in this study for variant calling can be useful to other groups working with nonmodel prokaryotic organisms such as Leptospira species.…”
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