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Chun-Qiu Xia

Showing results (1-10 of 9) with videos related to

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Bioinformatics (Oxford, England)|February 25, 2020
Protein-ligand binding residue prediction enhancement through hybrid deep heterogeneous learning of sequence and structure dataChun-Qiu Xia, Xiaoyong Pan, Hong-Bin Shen
Bioinformatics (Oxford, England)|October 31, 2021
CoCoPRED: coiled-coil protein structural feature prediction from amino acid sequence using deep neural networksShi-Hao Feng, Chun-Qiu Xia, Hong-Bin Shen
Nucleic Acids Research|February 12, 2021
GraphBind: protein structural context embedded rules learned by hierarchical graph neural networks for recognizing nucleic-acid-binding residuesYing Xia, Chun-Qiu Xia, Xiaoyong Pan, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|June 11, 2017
A Self-Training Subspace Clustering Algorithm under Low-Rank Representation for Cancer Classification on Gene Expression DataChun-Qiu Xia, Ke Han, Yong Qi, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|October 7, 2020
Ab-Initio Membrane Protein Amphipathic Helix Structure Prediction Using Deep Neural NetworksShi-Hao Feng, Chun-Qiu Xia, Pei-Dong Zhang, et al.
Wiley Interdisciplinary Reviews. RNA|May 9, 2019
Recent methodology progress of deep learning for RNA-protein interaction predictionXiaoyong Pan, Yang Yang, Chun-Qiu Xia, et al.
World Journal of Surgical Oncology|November 7, 2015
Comparison of thoracolaparoscopic esophagectomy with cervical anastomosis with McKeown esophagectomy for middle esophageal cancerHai-Tao Huang, Fei Wang, Liang Shen, et al.
The Thoracic and Cardiovascular Surgeon|April 10, 2014
Clinical Outcome of Middle Thoracic Esophageal Cancer with Intrathoracic or Cervical AnastomosisHai-Tao Huang, Fei Wang, Liang Shen, et al.
Acta Paediatrica (Oslo, Norway : 1992)|November 27, 2015
Protein tyrosine phosphatases receptor type D is a potential tumour suppressor gene inactivated by deoxyribonucleic acid methylation in paediatric acute myeloid leukaemiaLei Song, Wen Jiang, Wei Liu, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Bioinformatics (Oxford, England)|February 25, 2020
Protein-ligand binding residue prediction enhancement through hybrid deep heterogeneous learning of sequence and structure dataChun-Qiu Xia, Xiaoyong Pan, Hong-Bin Shen
Bioinformatics (Oxford, England)|October 31, 2021
CoCoPRED: coiled-coil protein structural feature prediction from amino acid sequence using deep neural networksShi-Hao Feng, Chun-Qiu Xia, Hong-Bin Shen
Nucleic Acids Research|February 12, 2021
GraphBind: protein structural context embedded rules learned by hierarchical graph neural networks for recognizing nucleic-acid-binding residuesYing Xia, Chun-Qiu Xia, Xiaoyong Pan, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|June 11, 2017
A Self-Training Subspace Clustering Algorithm under Low-Rank Representation for Cancer Classification on Gene Expression DataChun-Qiu Xia, Ke Han, Yong Qi, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|October 7, 2020
Ab-Initio Membrane Protein Amphipathic Helix Structure Prediction Using Deep Neural NetworksShi-Hao Feng, Chun-Qiu Xia, Pei-Dong Zhang, et al.
Wiley Interdisciplinary Reviews. RNA|May 9, 2019
Recent methodology progress of deep learning for RNA-protein interaction predictionXiaoyong Pan, Yang Yang, Chun-Qiu Xia, et al.
World Journal of Surgical Oncology|November 7, 2015
Comparison of thoracolaparoscopic esophagectomy with cervical anastomosis with McKeown esophagectomy for middle esophageal cancerHai-Tao Huang, Fei Wang, Liang Shen, et al.
The Thoracic and Cardiovascular Surgeon|April 10, 2014
Clinical Outcome of Middle Thoracic Esophageal Cancer with Intrathoracic or Cervical AnastomosisHai-Tao Huang, Fei Wang, Liang Shen, et al.
Acta Paediatrica (Oslo, Norway : 1992)|November 27, 2015
Protein tyrosine phosphatases receptor type D is a potential tumour suppressor gene inactivated by deoxyribonucleic acid methylation in paediatric acute myeloid leukaemiaLei Song, Wen Jiang, Wei Liu, et al.
Pageof 1