Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Cancer Drug Response Profile scan (CDRscan): A Deep Learning Model That Predicts Drug Effectiveness from Cancer Genomic Signature
Machine learning prediction of cancer cell sensitivity to drugs based on genomic and chemical properties
Using a novel computational drug-repositioning approach (DrugPredict) to rapidly identify potent drug candidates for cancer treatment
Cancer Classification Based on Microarray Gene Expression Data Using Deep Learning
Data-Driven Prediction of Drug Effects and Interactions
Deep Learning in Drug Discovery
Deep Learning in Pharmacogenomics: From Gene Regulation to Patient Stratification
High-throughput screening using patient-derived tumor xenografts to predict clinical trial drug response
A community effort to assess and improve drug sensitivity prediction algorithms
Predicting Drug-target Interaction via Wide and Deep Learning
Machine Learning in DNA Microarray Analysis for Cancer Classification
Applications of Machine Learning in Cancer Prediction and Prognosis
Deep learning of mutation-gene-drug relations from the literature
Mathematical modeling in cancer drug discovery.
the cancer cell line encyclopedia enables predictive modeling of anticancer drug sensitivity .
Algorithms for Drug Sensitivity Prediction
Machine learning applications in cancer prognosis and prediction
deep - learning - based drug - target interaction prediction .
Cancer subtype identification using deep learning approach
Interpretable Drug Target Prediction Using Deep Neural Representation
PaccMann: Prediction of anticancer compound sensitivity with multi-modal attention-based neural networks
PCN: Point Completion Network
CHAPTER 2 Crime Mapping : Spatial and Temporal Challenges
Neural programming language
Comparison of dermatoscopic images of acral lentiginous melanoma and acral melanocytic nevus occurring on body weight-bearing areas
improving protein fold recognition by deep learning networks .