• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 456 matches

• 2024
• 
  Sandra Batista, Vered Madar, Philip J. Freda, Priyanka Bhandary, Attri Ghosh, Nicholas Matsumoto, Apurva S. Chitre, Abraham A. Palmer, Jason H. Moore:
  Interaction models matter: an efficient, flexible computational framework for model-specific investigation of epistasis. BioData Min. 17(1) (2024)
• 
  Chih-Wei Chung, Seng-Cho Chou, Tzu-Hung Hsiao, Grace Joyce Zhang, Yu-Fang Chung, Yi-Ming Chen:
  Machine learning approaches to identify systemic lupus erythematosus in anti-nuclear antibody-positive patients using genomic data and electronic health records. BioData Min. 17(1) (2024)
• 
  Xiao-Ce Dai, Yi Yu, Si-Yu Zhou, Shuo Yu, Mei-Xiang Xiang, Hong Ma:
  Assessment of the causal relationship between gut microbiota and cardiovascular diseases: a bidirectional Mendelian randomization analysis. BioData Min. 17(1) (2024)
• 
  André Fonseca, Mikolaj Spytek, Przemyslaw Biecek, Clara Cordeiro, Nuno Sepúlveda:
  Antibody selection strategies and their impact in predicting clinical malaria based on multi-sera data. BioData Min. 17(1) (2024)
• 
  Regan Odongo, Asuman Demiroglu-Zergeroglu, Tunahan Çakir:
  A network-based drug prioritization and combination analysis for the MEK5/ERK5 pathway in breast cancer. BioData Min. 17(1) (2024)
• 
  Thanyawee Srithanyarat, Kittisak Taoma, Thana Sutthibutpong, Marasri Ruengjitchatchawalya, Monrudee Liangruksa, Teeraphan Laomettachit:
  Interpreting drug synergy in breast cancer with deep learning using target-protein inhibition profiles. BioData Min. 17(1) (2024)
• 
  Muhammad Taseer Suleman, Fahad Alturise, Tamim Alkhalifah, Yaser Daanial Khan:
  m1A-Ensem: accurate identification of 1-methyladenosine sites through ensemble models. BioData Min. 17(1) (2024)
• 
  Burcu Yaldiz, Onur Erdogan, Sevda Rafatov, Cem Iyigün, Yesim Aydin Son:
  Revealing third-order interactions through the integration of machine learning and entropy methods in genomic studies. BioData Min. 17(1) (2024)
• 
  Xiaohui Yao, Xiaohan Jiang, Haoran Luo, Hong Liang, Xiufen Ye, Yanhui Wei, Shan Cong:
  MOCAT: multi-omics integration with auxiliary classifiers enhanced autoencoder. BioData Min. 17(1) (2024)
• 2023
• 
  Abdulrahman Alasiri, Konrad J. Karczewski, Brian S. Cole, Bao-Li Loza, Jason H. Moore, Sander W. Van der Laan, Folkert W. Asselbergs, Brendan J. Keating, Jessica van Setten:
  LoFTK: a framework for fully automated calculation of predicted Loss-of-Function variants and genes. BioData Min. 16(1) (2023)
• 
  Peter Appiahene, Justice Williams Asare, Emmanuel Timmy Donkoh, Giovanni Dimauro, Rosalia Maglietta:
  Detection of iron deficiency anemia by medical images: a comparative study of machine learning algorithms. BioData Min. 16(1) (2023)
• 
  Diego Arnal, Celeste Moya, Luigi Filippelli, Jaume Segura-Garcia, Sergi Maicas:
  Bacteria spatial tracking in Urban Park soils with MALDI-TOF Mass Spectrometry and Specific PCR. BioData Min. 16(1) (2023)
• 
  Zarif L. Azher, Anish Suvarna, Ji-Qing Chen, Ze Zhang, Brock C. Christensen, Lucas A. Salas, Louis J. Vaickus, Joshua J. Levy:
  Assessment of emerging pretraining strategies in interpretable multimodal deep learning for cancer prognostication. BioData Min. 16(1) (2023)
• 
  Davide Chicco, Giuseppe Jurman:
  Ten simple rules for providing bioinformatics support within a hospital. BioData Min. 16(1) (2023)
• 
  Davide Chicco, Giuseppe Jurman:
  The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification. BioData Min. 16(1) (2023)
• 
  Davide Chicco, Tiziana Sanavia, Giuseppe Jurman:
  Signature literature review reveals AHCY, DPYSL3, and NME1 as the most recurrent prognostic genes for neuroblastoma. BioData Min. 16(1) (2023)
• 
  Massimiliano Datres, Elisa Paolazzi, Marco Chierici, Matteo Pozzi, Antonio Colangelo, Marcello Dorian Donzella, Giuseppe Jurman:
  Endoscopy-based IBD identification by a quantized deep learning pipeline. BioData Min. 16(1) (2023)
• 
  Philip J. Freda, Attri Ghosh, Elizabeth Zhang, Tianhao Luo, Apurva S. Chitre, Oksana Polesskaya, Celine L. St. Pierre, Jianjun Gao, Connor D. Martin, Hao Chen, Angel G. Garcia-Martinez, Tengfei Wang, Wenyan Han, Keita Ishiwari, Paul Meyer, Alexander Lamparelli, Christopher P. King, Abraham A. Palmer, Ruowang Li, Jason H. Moore:
  Automated quantitative trait locus analysis (AutoQTL). BioData Min. 16(1) (2023)
• 
  John T. Gregg, Jason H. Moore:
  STAR_outliers: a python package that separates univariate outliers from non-normal distributions. BioData Min. 16(1) (2023)
• 
  Zhenxiang He, Xiaoxia Li, Yuling Chen, Nianzu Lv, Yong Cai:
  Attention-based dual-path feature fusion network for automatic skin lesion segmentation. BioData Min. 16(1) (2023)
• 
  Guohua Huang, Xiaohong Huang, Wei Luo:
  6mA-StackingCV: an improved stacking ensemble model for predicting DNA N6-methyladenine site. BioData Min. 16(1) (2023)
• 
  Yun Jiang, Jinkun Dong, Tongtong Cheng, Yuan Zhang, Xin Lin, Jing Liang:
  iU-Net: a hybrid structured network with a novel feature fusion approach for medical image segmentation. BioData Min. 16(1) (2023)
• 
  Tanapol Kosolwattana, Chenang Liu, Renjie Hu, Shizhong Han, Hua Chen, Ying Lin:
  A self-inspected adaptive SMOTE algorithm (SASMOTE) for highly imbalanced data classification in healthcare. BioData Min. 16(1) (2023)
• 
  Wei Li, Minghang Zhang, Siyu Cai, Liangliang Wu, Chao Li, Yuqi He, Guibin Yang, Jinghui Wang, Yuanming Pan:
  Neural network-based prognostic predictive tool for gastric cardiac cancer: the worldwide retrospective study. BioData Min. 16(1) (2023)
• 
  Jing Luo, Jundong Li, Qi Mao, Zhenghao Shi, Haiqin Liu, Xiaoyong Ren, Xinhong Hei:
  Overlapping filter bank convolutional neural network for multisubject multicategory motor imagery brain-computer interface. BioData Min. 16(1) (2023)
• 
  Sofia Martins, Roberta Coletti, Marta B. Lopes:
  Disclosing transcriptomics network-based signatures of glioma heterogeneity using sparse methods. BioData Min. 16(1) (2023)
• 
  Jesse G. Meyer, Ryan J. Urbanowicz, Patrick C. N. Martin, Karen O'Connor, Ruowang Li, Pei-Chen Peng, Tiffani J. Bright, Nicholas P. Tatonetti, Kyoung-Jae Won, Graciela Gonzalez-Hernandez, Jason H. Moore:
  ChatGPT and large language models in academia: opportunities and challenges. BioData Min. 16(1) (2023)
• 
  Sana Munquad, Asim Bikas Das:
  DeepAutoGlioma: a deep learning autoencoder-based multi-omics data integration and classification tools for glioma subtyping. BioData Min. 16(1) (2023)
• 
  Naya Nagy, Matthew Stuart-Edwards, Marius Nagy, Liam Mitchell, Athanasios Zovoilis:
  Quantum analysis of squiggle data. BioData Min. 16(1) (2023)
• 
  David N. Nicholson, Faisal Alquaddoomi, Vincent Rubinetti, Casey S. Greene:
  Changing word meanings in biomedical literature reveal pandemics and new technologies. BioData Min. 16(1) (2023)

skipping 426 more matches