• 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 103 matches

• 2021
• 
  Edward Airey, Stephanie Portelli, Joicymara S. Xavier, Yoochan Myung, Michael Silk, Malancha Karmakar, João P. L. Velloso, Carlos H. M. Rodrigues, Hardik H. Parate, Anjali Garg, Raghad Al-Jarf, Lucy Barr, Juliana A. Geraldo, Pâmela M. Rezende, Douglas E. V. Pires, David B. Ascher:
  Identifying Genotype-Phenotype Correlations via Integrative Mutation Analysis. Artificial Neural Networks, 3rd Edition 2021: 1-32
• 
  Ali Al-Yousef, Sandhya Samarasinghe:
  A Novel Computational Approach for Biomarker Detection for Gene Expression-Based Computer-Aided Diagnostic Systems for Breast Cancer. Artificial Neural Networks, 3rd Edition 2021: 195-208
• 
  Christian Bock, Michael Moor, Catherine R. Jutzeler, Karsten M. Borgwardt:
  Machine Learning for Biomedical Time Series Classification: From Shapelets to Deep Learning. Artificial Neural Networks, 3rd Edition 2021: 33-71
• 
  Davide Chicco:
  Siamese Neural Networks: An Overview. Artificial Neural Networks, 3rd Edition 2021: 73-94
• 
  Silvia Curteanu, Elena Niculina Dragoi, Alexandra Cristina Blaga, Anca-Irina Galaction, Dan Cascaval:
  Neuroevolutive Algorithms Applied for Modeling Some Biochemical Separation Processes. Artificial Neural Networks, 3rd Edition 2021: 115-138
• 
  Eshel Faraggi, Robert L. Jernigan, Andrzej Kloczkowski:
  A Hybrid Levenberg-Marquardt Algorithm on a Recursive Neural Network for Scoring Protein Models. Artificial Neural Networks, 3rd Edition 2021: 307-316
• 
  Charles Fracchia:
  Secure and Scalable Collection of Biomedical Data for Machine Learning Applications. Artificial Neural Networks, 3rd Edition 2021: 317-336
• 
  Irene Lena Hudson:
  Data Integration Using Advances in Machine Learning in Drug Discovery and Molecular Biology. Artificial Neural Networks, 3rd Edition 2021: 167-184
• 
  Xuhan Liu, Adriaan P. IJzerman, Gerard J. P. van Westen:
  Computational Approaches for De Novo Drug Design: Past, Present, and Future. Artificial Neural Networks, 3rd Edition 2021: 139-165
• 
  Mario Malcangi:
  AI-Based Methods and Technologies to Develop Wearable Devices for Prosthetics and Predictions of Degenerative Diseases. Artificial Neural Networks, 3rd Edition 2021: 337-354
• 
  T. Murlidharan Nair:
  Building and Interpreting Artificial Neural Network Models for Biological Systems. Artificial Neural Networks, 3rd Edition 2021: 185-194
• 
  Kratika Naskulwar, Ruben Chevez-Guardado, Lourdes Peña Castillo:
  Computational Methods for Elucidating Gene Expression Regulation in Bacteria. Artificial Neural Networks, 3rd Edition 2021: 95-114
• 
  António J. Preto, Pedro Matos-Filipe, José G. de Almeida, Joana Mourão, Irina S. Moreira:
  Predicting Hot Spots Using a Deep Neural Network Approach. Artificial Neural Networks, 3rd Edition 2021: 267-288
• 
  Derek Reiman, Ali M. Farhat, Yang Dai:
  Predicting Host Phenotype Based on Gut Microbiome Using a Convolutional Neural Network Approach. Artificial Neural Networks, 3rd Edition 2021: 249-266
• 
  Diana F. Sousa, Andre Lamurias, Francisco M. Couto:
  Using Neural Networks for Relation Extraction from Biomedical Literature. Artificial Neural Networks, 3rd Edition 2021: 289-305
• 
  Xiao Tan, Andrew Su, Hamideh Hajiabadi, Minh Tran, Quan Nguyen:
  Applying Machine Learning for Integration of Multi-Modal Genomics Data and Imaging Data to Quantify Heterogeneity in Tumour Tissues. Artificial Neural Networks, 3rd Edition 2021: 209-228
• 
  Hao Wang, Jiaxin Yang, Jianrong Wang:
  Leverage Large-Scale Biological Networks to Decipher the Genetic Basis of Human Diseases Using Machine Learning. Artificial Neural Networks, 3rd Edition 2021: 229-248
• 
  Hugh M. Cartwright:
  Artificial Neural Networks - Third Edition. Methods in Molecular Biology 2190, Springer 2021, ISBN 978-1-0716-0825-8 [contents]
• 2020
• 
  Gregorio Alanis-Lobato, Martin H. Schaefer:
  Generation and Interpretation of Context-Specific Human Protein-Protein Interaction Networks with HIPPIE. Protein-Protein Interaction Networks 2020: 135-144
• 
  Nicolas Alcaraz, Anne Hartebrodt, Markus List:
  De Novo Pathway Enrichment with KeyPathwayMiner. Protein-Protein Interaction Networks 2020: 181-199
• 
  Sonja Biedermann, Monika Henzinger, Christian Schulz, Bernhard Schuster:
  Vienna Graph Clustering. Protein-Protein Interaction Networks 2020: 215-231
• 
  Jan Byska, Adam Jurcík, Katarína Furmanová, Barbora Kozlíková, Jan J. Palecek:
  Visual Analysis of Protein-Protein Interaction Docking Models Using COZOID Tool. Protein-Protein Interaction Networks 2020: 81-94
• 
  Thomas Gueudré, Carlo Baldassi, Andrea Pagnani, Martin Weigt:
  Predicting Interacting Protein Pairs by Coevolutionary Paralog Matching. Protein-Protein Interaction Networks 2020: 57-65
• 
  Farideh Halakou, Attila Gürsoy, Ozlem Keskin:
  Embedding Alternative Conformations of Proteins in Protein-Protein Interaction Networks. Protein-Protein Interaction Networks 2020: 113-124
• 
  Robin Haw, Fred Loney, Edison Ong, Yongqun He, Guanming Wu:
  Perform Pathway Enrichment Analysis Using ReactomeFIViz. Protein-Protein Interaction Networks 2020: 165-179
• 
  Wayne B. Hayes:
  An Introductory Guide to Aligning Networks Using SANA, the Simulated Annealing Network Aligner. Protein-Protein Interaction Networks 2020: 263-284
• 
  Andrey A. Ivanov:
  Explore Protein-Protein Interactions for Cancer Target Discovery Using the OncoPPi Portal. Protein-Protein Interaction Networks 2020: 145-164
• 
  Xiaoyang Jing, Hong Zeng, Sheng Wang, Jinbo Xu:
  A Web-Based Protocol for Interprotein Contact Prediction by Deep Learning. Protein-Protein Interaction Networks 2020: 67-80
• 
  Ina Koch, Oliver Philipp, Andrea Hamann, Heinz D. Osiewacz:
  Reconstruction of Protein-Protein Interaction Networks Using Homology-Based Search: Application to the Autophagy Pathway of Aging in Podospora anserina. Protein-Protein Interaction Networks 2020: 45-55
• 
  Yiwei Li, Lucian Ilie:
  Predicting Protein-Protein Interactions Using SPRINT. Protein-Protein Interaction Networks 2020: 1-11

skipping 73 more matches