Fakultät für Informatik
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Technische Universität München
Lehrstuhl für Effiziente Algorithmen
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Predicting protein residue-residue contacts using deep networks and boosting
Jesse Eickholt
,
Jianlin Cheng
Bioinformatics
28
(23), 2012, pp. 3066-3072
APOLLO: A quality assessment service for single and multiple protein models
Zheng Wang
,
Jesse Eickholt
,
Jianlin Cheng
Bioinformatics
27
(12), 2011, pp. 1715-1716
MULTICOM: A multi-level combination approach to protein structure prediction and its assessments in CASP8
Zheng Wang
,
Jesse Eickholt
,
Jianlin Cheng
Bioinformatics
26
(7), 2010, pp. 882-888
TMBpro: Secondary structure,
\beta
-contact and tertiary structure prediction of transmembrane
\beta
-barrel proteins
Arlo Randall
,
Jianlin Cheng
,
Michael Sweredoski
,
Pierre Baldi
Bioinformatics
24
(4), 2008, pp. 513-520
A machine learning information retrieval approach to protein fold recognition
Jianlin Cheng
,
Pierre Baldi
Bioinformatics
22
(12), 2006, pp. 1456-1463
Three-stage prediction of protein
\beta
-sheets by neural networks, alignments and graph algorithms
Jianlin Cheng
,
Pierre Baldi
Bioinformatics
21
(S1), 2005, pp. 75-84