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  • Produktbild: Intelligent Computing Theories and Application
  • Produktbild: Intelligent Computing Theories and Application
Band 12838

Intelligent Computing Theories and Application 17th International Conference, ICIC 2021, Shenzhen, China, August 12–15, 2021, Proceedings, Part III

Aus der Reihe Lecture Notes in Computer Science

51,99 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

10.08.2021

Herausgeber

De-Shuang Huang + weitere

Verlag

Springer

Seitenzahl

669

Maße (L/B/H)

23,5/15,5/3,7 cm

Gewicht

1031 g

Auflage

1st ed. 2021

Sprache

Englisch

ISBN

978-3-030-84531-5

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

10.08.2021

Herausgeber

Verlag

Springer

Seitenzahl

669

Maße (L/B/H)

23,5/15,5/3,7 cm

Gewicht

1031 g

Auflage

1st ed. 2021

Sprache

Englisch

ISBN

978-3-030-84531-5

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Intelligent Computing Theories and Application
  • Produktbild: Intelligent Computing Theories and Application

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Combining Local Geometric Similarity and Multivariate Regression.- Deep Convolution Recurrent Neural Network for Predicting RNA-Protein Binding Preference in mRNA UTR region.- Joint Association Analysis Method to Predict Genes Related to Liver Cancer.- A Hybrid Deep Neural Network for the Prediction of in-vivo Protein-DNA Binding by combining multiple-instance learning.- Using deep learning to predict transcription factor binding sites combining raw DNA sequence, evolutionary information and epigenomic data.- An abnormal gene detection method based on Selene.- A method for constructing an integrative network of competing endogenous RNAs.- Intelligent Computing in Computational Biology .- Detection of Drug-drug Interactions through Knowledge Graph Integrating Multi-attention with Capsule Network.- SCEC: A Novel Single-Cell Classification Method Based on Cell-Pair Ensemble Learning.- ICNNMDA: An Improved Convolutional Neural Network for Predicting miRNA-disease Associations.- DNA-GCN: Graph convolutional networks for predicting DNA-protein binding.- Weighted Nonnegative Matrix Factorization based on Multi-Source Fusion Information for Predicting CircRNA-Disease Associations.- ScSSC: semi-supervised single cell clustering based on 2D embedding.- SNEMO: Spectral Clustering Based on the Neighborhood for Multi-omics Data.- Covid-19 detection by Wavelet Entropy and Jaya.- An ensemble learning algorithm for predicting HIV-1 protease cleavage sites.- RWRNCP: Random Walking with Restart based Network Consistency Projection for Predicting miRNA-disease Association.- MELPMDA: A New Method Based on Matrix Enhancement and Label Propagation for Predicting miRNA-disease Association.- Prognostic prediction for non-small-cell lung cancer based on deep neural network and multimodal data.- Drug-Target Interactions Prediction with Feature Extraction Strategy Based on Graph Neural Network.- CNNEMS: Using Convolutional Neural Networks to Predict Drug-Target Interactions by Combining 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