Research Fellow

Publications

Concepts and Applications of Conformal Prediction in Computational Drug Discovery
I Cortés-Ciriano, A Bender
(2019)
KekuleScope: prediction of cancer cell line sensitivity and compound potency using convolutional neural networks trained on compound images.
I Cortés-Ciriano, A Bender
Journal of Cheminformatics
(2019)
11
Reliable Prediction Errors for Deep Neural Networks Using Test-Time Dropout.
I Cortés-Ciriano, A Bender
Journal of chemical information and modeling
(2019)
59
A decision-theoretic approach to the evaluation of machine learning algorithms in computational drug discovery.
OP Watson, I Cortes-Ciriano, AR Taylor, JA Watson
Bioinformatics (Oxford, England)
(2019)
35
Detecting the mutational signature of homologous recombination deficiency in clinical samples
DC Gulhan, JJ-K Lee, GEM Melloni, I Cortés-Ciriano, PJ Park
Nat Genet
(2019)
51
Linked-read analysis identifies mutations in single-cell DNA-sequencing data.
CL Bohrson, AR Barton, MA Lodato, RE Rodin, LJ Luquette, VV Viswanadham, DC Gulhan, I Cortés-Ciriano, MA Sherman, M Kwon, ME Coulter, A Galor, CA Walsh, PJ Park
Nat Genet
(2019)
51
Deep Confidence: A Computationally Efficient Framework for Calculating Reliable Prediction Errors for Deep Neural Networks
I Cortés-Ciriano, A Bender
J Chem Inf Model
(2018)
59
Discovering Highly Potent Molecules from an Initial Set of Inactives Using Iterative Screening.
I Cortés-Ciriano, NC Firth, A Bender, O Watson
J Chem Inf Model
(2018)
58
A decision theoretic approach to model evaluation in computational drug discovery
O Watson, I Cortes-Ciriano, A Taylor, JA Watson
(2018)
Comprehensive analysis of chromothripsis in 2,658 human cancers using whole-genome sequencing
I Cortés-Ciriano, J-K Lee, R Xi, D Jain, YL Jung, L Yang, D Gordenin, LJ Klimczak, C-Z Zhang, DS Pellman, PJ Park, OBOTPSVW Group, TITP-CAOWG Network
(2018)