Computational advances in bio and medical sciences 9th International Conference, ICCABS 2019, Miami, FL, USA, November 15-17, 2019, Revised Selected Papers /: 9th International Conference, ICCABS 2019, Miami, FL, USA, November 15-17, 2019, Revised Selected Papers. (2020)

• Record Type: Book
• Other Titles: ICCABS 2019
• Further Information: Note: Ion Măndoiu [and more] (eds.).
• Other Names: Măndoiu, Ion; Murali, T. M; Narasimhan, Giri; Rajasekaran, Sanguthevar; Skums, Pavel; Zelikovsky, Alexander; International Conference on Computational Advances in Bio andmedical Sciences, 9th
• Contents: Intro -- Preface -- Organization -- Contents -- Detecting De Novo Plasmodesmata Targeting Signals and Identifying PD Targeting Proteins -- 1 Introduction -- 2 Methods -- 2.1 SVM with Dipepetide Features -- 2.2 3-States HMM on JMe -- 2.3 Combination of SVM with HMM -- 3 Results -- 3.1 Datasets -- 3.2 Performance Metrics -- 3.3 Evaluation: SVM Alone -- 3.4 Evaluation: HMM Alone -- 3.5 Evaluation: Combination of SVM and HMM -- 4 Conclusion and Future Work -- References -- The Agility of a Neuron: Phase Shift Between Sinusoidal Current Input and Firing Rate Curve -- 1 Introduction -- 2 Methods 2.1 The Balanced LIF Model -- 2.2 ISI Firing Rate Function for Leaky IAF Model -- 2.3 ISI Firing Rate Function for Balanced LIF Model -- 3 Results and Discussions -- 3.1 The Angle of Phase Shift -- 3.2 The Agility Score of a Neuron -- 4 Conclusion -- References -- Efficient Sequential and Parallel Algorithms for Incremental Record Linkage -- 1 Introduction -- 2 Background -- 3 Methods -- 3.1 Our Approaches -- 3.2 Sequential Algorithms -- 3.3 Parallel Algorithm -- 4 Experimental Environments -- 5 The Datasets -- 6 Results -- 6.1 Results on Real Datasets for Sequential Algorithms 6.2 Results on Real Datasets for Parallel Algorithms -- 7 Conclusions -- References -- Autoencoder Based Methods for Diagnosis of Autism Spectrum Disorder -- 1 Introduction -- 2 Materials and Methods -- 2.1 ABIDE -- 2.2 Data Preprocessing and Brain Networks -- 2.3 Feature Extraction -- 2.4 Feature Extraction -- 2.5 Proposed Autoencoder -- 3 Results and Discussion -- 4 Conclusion -- References -- FastFeatGen: Faster Parallel Feature Extraction from Genome Sequences and Efficient Prediction of DNA N6-Methyladenine Sites -- 1 Introduction -- 2 Methods -- 2.1 Datasets -- 2.2 Feature Engineering 2.3 Machine Learning Algorithms -- 2.4 Feature Selection -- 2.5 Performance Evaluation -- 3 Results and Discussion -- 3.1 Experimental Setup -- 3.2 Parallel Feature Extraction Analysis -- 3.3 Feature Importance Analysis -- 3.4 Performance Analysis -- 3.5 Query Time Analysis -- 4 Conclusions -- References -- Optimized Multiple Fluorescence Based Detection in Single Molecule Synthesis Process Under High Noise Level Environment -- 1 Introduction -- 2 Materials and Models -- 2.1 The Single Molecule Synthesis Process -- 2.2 The Emission Process -- 2.3 The Received Process -- 3 Methods and Algorithms 3.1 Estimation of the Initial Pixel Parameters -- 3.2 Decoding Phase -- 4 Simulations -- 4.1 The Single Molecule Synthesis Process -- 4.2 The Emission Process and the Received Process -- 4.3 Results -- 5 Discussion and Conclusions -- References -- Deep Learning of CTCF-Mediated Chromatin Loops in 3D Genome Organization -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data Collection and Preprocessing -- 2.2 DeepCTCFLoop Model Construction -- 2.3 Motif Visualization and Analysis -- 2.4 Model Performance Evaluation -- 3 Results and Discussion
• Publisher Details: Cham : Springer
• Publication Date: 2020
• Extent: 1 online resource (210 p.)
• Subjects: 570.285; Bioinformatics -- Congresses; Medical informatics -- Congresses; Bioinformatics; Medical informatics; Electronic books; Electronic books; Conference papers and proceedings
• Languages: English
• ISBNs: 9783030461652; 3030461653
• Related ISBNs: 9783030461645
• Notes: Note: Includes bibliographical references and author index.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.