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ORCIDCIBCB 2019: Siena, Italy
- Giacomo Baruzzo, Sebastian Daberdaku, Barbara Di Camillo, Simone Furini, Emanuele Domenico Giordano, Giuseppe Nicosia:
IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2019, Siena, Italy, July 9-11, 2019. IEEE 2019, ISBN 978-1-7281-1462-0 - Nada Almugren, Hala M. Alshamlan:
FF-SVM: New FireFly-based Gene Selection Algorithm for Microarray Cancer Classification. 1-6 - Michael M. Saint-Antoine, Abhyudai Singh:
Evaluating Pruning Methods in Gene Network Inference. 1-7 - Ankita Shreya, Swati Vipsita
, Santos Kumar Baliarsingh:
Cancer Classification using improved Extreme Learning Machine. 1-9 - Juraj Kacur, Jaroslav Polec, Filip Csoka, Eva Smolejova:
GMM Based Detection of Schizophrenia Using Eye Tracking. 1-4 - Feng-Chi Chen, Pin-Shen Lee, Yun-Yu Huang, Huang-Chi Wu, Hsuan-Yu Lin:
Interactions between Inter Partes Review and Hatch-Waxman Litigations. 1-4 - Jerome Cary Beltran, Paolo Valdez, Prospero C. Naval:
Predicting Protein-Protein Interactions based on Biological Information using Extreme Gradient Boosting. 1-6 - Sara Moccia, Lucia Migliorelli, Rocco Pietrini, Emanuele Frontoni:
Preterm infants' limb-pose estimation from depth images using convolutional neural networks. 1-7 - Roberto Pagliarini, Alessandra Boletta:
In SILICO Simulations Predict a Causative Link Between Increased Glycolysis and Metabolic Reprogramming in Autosomal Dominant Polycystic Kidney Disease. 1-9 - Michael Dubé, Sheridan K. Houghten, Daniel A. Ashlock:
Pandemic: A Graph Evolution Story. 1-8 - Luca Mesin, Forough Mokabberi, Christian Francesco Carlino:
Identification of optimal surgical intervention for Chiari I malformation. 1-5 - Gaurav Sharma, Shubhajit Roy Chowdhury:
Enhancement in Focality of Non-Invasive Brain Stimulation through High Definition (HD) Anodal Transcranial Direct Current Stimulation (tDCS) Techniques. 1-5 - Kamal Taha:
Predicting the Functions of Proteins from their Co-occurrences with Implicit and Explicit Functional Terms in Texts. 1-8 - D. Gomez Cabeza, Lucia Bandiera, Eva Balsa-Canto, Filippo Menolascina:
Information content analysis reveals desirable aspects of in vivo experiments of a synthetic circuit. 1-8 - Behrooz Abbaszadeh, Mustapha C. E. Yagoub:
Optimum Window Size and Overlap for Robust Probabilistic Prediction of Seizures with iEEG. 1-5 - Jeffrey Dale, Junya Zhao, Tayo Obafemi-Ajayi:
Multi-objective Optimization Approach to find Biclusters in Gene Expression Data. 1-8 - Long Ma, Yan Wang:
Constructing a Semantic Graph with Depression Symptoms Extraction from Twitter. 1-5 - Bence Bruncsics, Peter Antal:
A multi-trait evaluation of network propagation for GWAS results. 1-6 - Marta Pinto, Mário Pereira, Diana Raposo, Marco Simões, Miguel Castelo-Branco:
GameAAL - an AAL solution based on Gamification and Machine Learning Techniques. 1-4 - Linlin Zhao, Nima Abedpour, Christopher Blum, Petra Kolkhof, Mathias Beller, Markus Kollmann, Emidio Capriotti:
Predicting gene expression level in E. coli from mRNA sequence information. 1-8 - Thomas Clifford, Justin Bruce, Tayo Obafemi-Ajayi, John Matta:
Comparative Analysis of Feature Selection Methods to Identify Biomarkers in a Stroke-Related Dataset. 1-8 - Ariyur Mahadevan Abirami, Anagha Vishnuvajjala, Naman Dosi, Shrisha Rao:
A Predictive Model for Drug-Drug Interaction Using a Similarity Measure. 1-8 - James Alexander Hughes, Sheridan K. Houghten, Joseph Alexander Brown:
Descriptive Symbolic Models of Gaits from Parkinson's Disease Patients. 1-8 - Aristidis G. Vrahatis, Georgios N. Dimitrakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos:
A single-cell Systems Biology approach for disease-specific subpathway extraction. 1-7 - Junya Zhao, Thy Nguyen, Jonathan Kopel, Perry B. Koob, Donald A. Adieroh, Tayo Obafemi-Ajayi:
Genotype Combinations Linked to Phenotype Subgroups in Autism Spectrum Disorders. 1-8 - Eleftheria Polychronidou, Ilias Kalamaras, Konstantinos Votis, Dimitrios Tzovaras:
Health Vision: An interactive web based platform for healthcare data analysis and visualisation. 1-8 - Patrick Echtenbruck, Michael Emmerich, Boris Naujoks:
A Multiobjective Approach to Classification in Drug Discovery. 1-8 - Luca Mesin, Massimo Valerio, Giorgio Capizzi:
Detection and Assessment of Encephalitis from EEG. 1-4 - Tahmina Zebin, Thierry J. Chaussalet:
Design and implementation of a deep recurrent model for prediction of readmission in urgent care using electronic health records. 1-5 - Martin Prodel, Ludovic Lamarsalle, Vincent Augusto:
ATLAS: A Robust Algorithm for Temporal Sequence Alignment of Treatment Lines using Claim Databases. 1-8 - Marco S. Nobile, Thalia Vlachou, Simone Spolaor, Paolo Cazzaniga, Giancarlo Mauri, Pier Giuseppe Pelicci, Daniela Besozzi:
ProCell: Investigating cell proliferation with Swarm Intelligence. 1-8 - Lys Sanz Moreta, Ahmad Salim Al-Sibahi, Douglas L. Theobald, William Bullock, Basile Nicolas Rommes, Andreas Manoukian, Thomas Hamelryck:
A Probabilistic Programming Approach to Protein Structure Superposition. 1-5 - Abdul Haleem Butt, Carme Zambrana, Sebastian Idelsohn-Zielonka, Mireia Claramunt-Molet, Amaia Ugartemendia-Etxarri, Erika Rovini, Alessandra Moschetti, Carlos Molleja, Cristina Martín, Eloy Opisso Salleras, Filippo Cavallo:
Assessment of Purposeful Movements for Post-Stroke Patients in Activites of Daily Living with Wearable Sensor Device. 1-8 - Simone Caligola, Tommaso Carlucci, Franco Fummi, Carlo Laudanna, Gabriela Constantin, Nicola Bombieri, Rosalba Giugno:
Automatic Parameterization of the Purine Metabolism Pathway through Discrete Event-based Simulation. 1-4 - Michele Gentili, Leonardo Martini, Manuela Petti, Lorenzo Farina, Luca Becchetti:
Biological Random Walks: Integrating heterogeneous data in disease gene prioritization. 1-8 - Andrea Bizzego, Nicole Bussola, D. Salvalai, Marco Chierici, Valerio Maggio, Giuseppe Jurman, Cesare Furlanello:
Integrating deep and radiomics features in cancer bioimaging. 1-8 - Gaia Ceddia, Pietro Pinoli, Stefano Ceri, Marco Masseroli:
Non-negative Matrix Tri-Factorization for Data Integration and Network-based Drug Repositioning. 1-7 - Marica Muffoletto, Xiao Fu, Aditi Roy, Marta Varela, Paul A. Bates, Oleg V. Aslanidi:
Development of a Deep Learning Method to Predict Optimal Ablation Patterns for Atrial Fibrillation. 1-4 - Hisham Al-Mubaid:
Analysis of Gene Variants for Functional Annotations. 1-7 - Tahmina Zebin, Shahadate Rezvy, Thierry J. Chaussalet:
A deep learning approach for length of stay prediction in clinical settings from medical records. 1-5 - Thomas Clifford, Justin Bruce, John Matta:
Using Node-Based Resilience Clustering to Predict and Analyze Medical Data. 1-8 - Arindam Chakraborty, Mahendra Kumar Gohil, G. Savitha, Bhaskar Dasgupta:
Volumetric Representation of Biomolecules Using Cell Decomposition and Robotics. 1-8 - Aristidis G. Vrahatis, Sotiris K. Tasoulis, Georgios N. Dimitrakopoulos, Vassilis P. Plagianakos:
Visualizing High-Dimensional Single-Cell RNA-seq Data via Random Projections and Geodesic Distances. 1-6 - Giovanni Cugliari, Silvia Benevenuta, Simonetta Guarrera, Carlotta Sacerdote, Salvatore Panico, Vittorio Krogh, Rosario Tumino, Paolo Vineis, Piero Fariselli, Giuseppe Matullo:
Improving the prediction of cardiovascular risk with machine-learning and DNA methylation data. 1-4 - Vincenzo Bonnici, Simone Caligola, Giulia Fiorini, Luca Giudice, Rosalba Giugno:
LErNet: characterization of lncRNAs via context-aware network expansion and enrichment analysis. 1-8 - Angela Re, Paola Lecca:
Determining structural parameter identifiability in biological dynamical models by analysing the statistical properties of the likelihood behaviour. 1-8 - Lukas Pfannschmidt, Christina Göpfert, Ursula Neumann, Dominik Heider, Barbara Hammer:
FRI-Feature Relevance Intervals for Interpretable and Interactive Data Exploration. 1-10 - Sheridan K. Houghten, Angelo Romualdo, Tyler Kennedy Collins, Joseph Alexander Brown:
Compression of Biological Networks using a Genetic Algorithm with Localized Merge. 1-8 - Daniel A. Ashlock, Sierra Gillis, Amanda Saunders, Andrew Riley:
Large Block Matching Characters for Dehydrin Classification. 1-8 - Qanita Bani Baker, Manar K. Al-Bataineh:
Genetic Algorithm for Optimizing Global Alignment of Protein-Protein Interaction Network. 1-6 - Pierangela Bruno, Francesco Calimeri:
Using Heatmaps for Deep Learning based Disease Classification. 1-7 - Hisham Al-Mubaid:
Gene Mutation Analysis for Functional Annotations Using Graph Heuristics. 1-6 - Mahendra Kumar Gohil, Arindam Chakraborty, G. Savitha, Bhaskar Dasgupta:
Structural Prediction of RNA Loops by Simulated Annealing. 1-8 - Daniel A. Ashlock, Wendy Ashlock, James Montgomery:
Implementing Phenotypic Plasticity with an Adaptive Generative Representation. 1-8
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last updated on 2024-09-12 02:16 CEST by the dblp team
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