Jack Lanchantin
Publications by Year
Research Areas
Genomics and Phylogenetic Studies, Topic Modeling, Machine Learning in Bioinformatics, Genomics and Chromatin Dynamics, Natural Language Processing Techniques
Most-Cited Works
- → Opportunities and obstacles for deep learning in biology and medicine(2018)2,170 cited
- → Black-Box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers(2018)644 cited
- → General Multi-label Image Classification with Transformers(2021)328 cited
- → DeepChrome: deep-learning for predicting gene expression from histone modifications(2016)324 cited
- → DEEP MOTIF DASHBOARD: VISUALIZING AND UNDERSTANDING GENOMIC SEQUENCES USING DEEP NEURAL NETWORKS(2016)127 cited
- → Deep Motif: Visualizing Genomic Sequence Classifications(2016)60 cited
- → Attend and Predict: Understanding Gene Regulation by Selective Attention\n on Chromatin(2017)58 cited
- → MUST-CNN: A Multilayer Shift-and-Stitch Deep Convolutional Architecture for Sequence-Based Protein Structure Prediction(2016)39 cited