The next generation of transcription factor binding site prediction. by Anthony Mathelier, Wyeth W Wasserman

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Application of Machine Learning Methods for Gravity Anomaly Prediction by Katima Zhanakulova, Bakhberde Adebiyet, Elmira Orynbassarova, Ainur Yerzhankyzy, Khaini-Kamal Kassymkanova, Roza Abdykalykova, Maksat Zakariya

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Anticancer drug synergy prediction based on CatBoost by Changheng Li, Nana Guan, Hongyi Zhang

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Methods for Predicting Bubble Size Distribution in Turbulent Flow by Pengcheng Li, David Z. Zhu, Hang Wang, Rongcai Tang

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Machine Learning‐Assisted Prediction and Generation of Antimicrobial Peptides by Sukhvir Kaur Bhangu, Nicholas Welch, Morgan Lewis, Fanyi Li, Brint Gardner, Helmut Thissen, Wioleta Kowalczyk

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Text Geolocation Prediction via Self-Supervised Learning by Yuxing Wu, Zhuang Zeng, Kaiyue Liu, Zhouzheng Xu, Yaqin Ye, Shunping Zhou, Huangbao Yao, Shengwen Li

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Predicting the Performance of Students Using Deep Ensemble Learning by Bo Tang, Senlin Li, Changhua Zhao

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Predicting progression of Alzheimer's disease using ordinal regression. by Orla M Doyle, Eric Westman, Andre F Marquand, Patrizia Mecocci, Bruno Vellas, Magda Tsolaki, Iwona Kłoszewska, Hilkka Soininen, Simon Lovestone, Steve C R Williams, Andrew Simmons

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How to predict early mortality in patients with metastatic melanoma by Qiusheng Guo, Xianmei Lv, Zengpai Zheng, Gaochen Lan

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Identification of fatty acid metabolism-related genes in the tumor microenvironment of breast cancer by a development and validation of prognostic index signature by Zhaofeng Ma, Man Zheng, Pulin Liu

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A fuzzy multi-criteria decision-making for optimizing supply chain aggregate production planning based on cost reduction and risk mitigation by Noppasorn Sutthibutr, Kunihiko Hiraishi, Navee Chiadamrong

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Machine learning approach for unmet medical needs among middle-aged adults in South Korea: a cross-sectional study by Jeewuan Kim, Seok-Min Ji, In-Sik Kim, Ha-Young Jang, Chang-Hyun Yoo, Jae-Hak Kim, Kyu-Min Kim

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Changes in facial expressions can distinguish Parkinson’s disease via Bayesian inference by Meimei Mouse, Hongjie Gong, Yifeng Liu, Fan Xu, Xianwei Zou, Min Huang, Xi Yang

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Identification and validation of aging related genes in osteoarthritis by Jian Du, Jian Du, Tian Zhou, Yanghui Dong, Yunchao Sun, Wei Peng

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Incorporating gene expression and environment for genomic prediction in wheat by Jia Liu, Jia Liu, Andrew Gock, Kerrie Ramm, Sandra Stops, Tanya Phongkham, Adam Norman, Russell Eastwood, Eric Stone, Shannon Dillon

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Evaluating the impact of ESICM 2023 guidelines and the new global definition of ARDS on clinical outcomes: insights from MIMIC-IV cohort data by Duanhong Song, Qingquan Chen, Shangbin Huang, Shengxun Qiu, Zeshun Chen, Yuanhang Cai, Yifu Zeng, Xiaoyang Chen, Yixiang Zhang

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Enriched knowledge representation in biological fields: a case study of literature-based discovery in Alzheimer’s disease by Yiyuan Pu, Daniel Beck, Karin Verspoor

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Advanced satellite-based remote sensing and data analytics for precision water resource management and agricultural optimization by Awais Ali, Muhammad Yousuf Jat Baloch, Muhammad Naveed, Anam Nigar, Abdulrahman Seraj Almalki, Ayesha Ghulam Rasool, Meseret Abeje Gedfew, Ahmed A. Arafat

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Assessing interaction recovery of predicted protein-ligand poses by David Errington, Constantin Schneider, Cédric Bouysset, Frédéric A. Dreyer

“…Abstract The field of protein-ligand pose prediction has seen significant advances in recent years, with machine learning-based methods now being commonly used in lieu of classical docking methods or even to predict all-atom protein-ligand complex structures. …”
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Robust predictive framework for diabetes classification using optimized machine learning on imbalanced datasets by Inam Abousaber, Haitham F. Abdallah, Hany El-Ghaish

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