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Jesse Eickholt

Showing results (11-20 of 25) with videos related to

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IEEE/ACM Transactions on Computational Biology and Bioinformatics|March 10, 2015
A Deep Learning Network Approach to ab initio Protein Secondary Structure PredictionMatt Spencer, Jesse Eickholt, Jianlin Cheng
Scientific Reports|January 15, 2016
Benchmarking Deep Networks for Predicting Residue-Specific Quality of Individual Protein Models in CASP11Tong Liu, Yiheng Wang, Jesse Eickholt, et al.
Journal of Bioinformatics and Computational Biology|July 20, 2012
Recursive protein modeling: a divide and conquer strategy for Protein Structure Prediction and its case study in CASP9Jianlin Cheng, Jesse Eickholt, Zheng Wang, et al.
Scientific Reports|December 5, 2015
Improving Protein Fold Recognition by Deep Learning NetworksTaeho Jo, Jie Hou, Jesse Eickholt, et al.
BMC Structural Biology|February 28, 2013
Designing and benchmarking the MULTICOM protein structure prediction systemJilong Li, Xin Deng, Jesse Eickholt, et al.
Nucleic Acids Research|May 8, 2009
NNcon: improved protein contact map prediction using 2D-recursive neural networksAllison N Tegge, Zheng Wang, Jesse Eickholt, et al.
Proteins|June 23, 2009
Prediction of global and local quality of CASP8 models by MULTICOM seriesJianlin Cheng, Zheng Wang, Allison N Tegge, et al.
Scientific Data|October 10, 2018
An underwater observation dataset for fish classification and fishery assessmentErin McCann, Liling Li, Kevin Pangle, et al.
International Journal of Molecular Sciences|July 23, 2015
An Overview of Practical Applications of Protein Disorder Prediction and Drive for Faster, More Accurate PredictionsXin Deng, Jordan Gumm, Suman Karki, et al.
BMC Bioinformatics|May 2, 2012
The MULTICOM toolbox for protein structure predictionJianlin Cheng, Jilong Li, Zheng Wang, et al.
Pageof 3

Showing results (11-20 of 25) with videos related to

Sort By:
Pageof 3
IEEE/ACM Transactions on Computational Biology and Bioinformatics|March 10, 2015
A Deep Learning Network Approach to ab initio Protein Secondary Structure PredictionMatt Spencer, Jesse Eickholt, Jianlin Cheng
Scientific Reports|January 15, 2016
Benchmarking Deep Networks for Predicting Residue-Specific Quality of Individual Protein Models in CASP11Tong Liu, Yiheng Wang, Jesse Eickholt, et al.
Journal of Bioinformatics and Computational Biology|July 20, 2012
Recursive protein modeling: a divide and conquer strategy for Protein Structure Prediction and its case study in CASP9Jianlin Cheng, Jesse Eickholt, Zheng Wang, et al.
Scientific Reports|December 5, 2015
Improving Protein Fold Recognition by Deep Learning NetworksTaeho Jo, Jie Hou, Jesse Eickholt, et al.
BMC Structural Biology|February 28, 2013
Designing and benchmarking the MULTICOM protein structure prediction systemJilong Li, Xin Deng, Jesse Eickholt, et al.
Nucleic Acids Research|May 8, 2009
NNcon: improved protein contact map prediction using 2D-recursive neural networksAllison N Tegge, Zheng Wang, Jesse Eickholt, et al.
Proteins|June 23, 2009
Prediction of global and local quality of CASP8 models by MULTICOM seriesJianlin Cheng, Zheng Wang, Allison N Tegge, et al.
Scientific Data|October 10, 2018
An underwater observation dataset for fish classification and fishery assessmentErin McCann, Liling Li, Kevin Pangle, et al.
International Journal of Molecular Sciences|July 23, 2015
An Overview of Practical Applications of Protein Disorder Prediction and Drive for Faster, More Accurate PredictionsXin Deng, Jordan Gumm, Suman Karki, et al.
BMC Bioinformatics|May 2, 2012
The MULTICOM toolbox for protein structure predictionJianlin Cheng, Jilong Li, Zheng Wang, et al.
Pageof 3