Jesse Eickholt

A Deep Learning Network Approach to <italic>ab initio</italic> Protein Secondary Structure Prediction

Matt Spencer, Jesse Eickholt, Jianlin Cheng · IEEE/ACM Transactions on Computational Biology and Bioinformatics · 2014 · 304 citations

Engineering, Machine Learning, Structural Bioinformatics +19

Machine Learning the Voltage of Electrode Materials in Metal-Ion Batteries

Rajendra P. Joshi, Jesse Eickholt, Liling Li et al. · ACS Applied Materials & Interfaces · 2019 · 186 citations · Full text

Engineering, Machine Learning, Machine Learning Tool +22

Predicting protein residue–residue contacts using deep networks and boosting

Jesse Eickholt, Jianlin Cheng · Bioinformatics · 2012 · 173 citations · Full text

NNcon: improved protein contact map prediction using 2D-recursive neural networks

Allison N. Tegge, Zhili Wang, Jesse Eickholt et al. · Nucleic Acids Research · 2009 · 151 citations · Full text

Engineering, Structural Bioinformatics, Biomolecular Structure Prediction +18

Improving Protein Fold Recognition by Deep Learning Networks

Taeho Jo, Jie Hou, Jesse Eickholt et al. · Scientific Reports · 2015 · 124 citations · Full text