Convolutional neural network architectures for... - Haoyang Zeng - Proceedings - ISMB 2016
Comprehensive evaluation of deep learning architectures... - Asa Ben-Hur - RegSys - ISMB/ECCB 2019
Predicting the sequence specificities of DNA- and... - Hannes Bretschneider - Highlights - ISMB 2016
Predicting protein functions with deep learning... - Gabriela Merino - Function - ISMB 2020 Posters
AI Book Club: Deep Learning for Biology - November 2025
6.047/6.878 Lecture 12 - Deep Learning (Fall 2020)
Predicting 3D genome folding from DNA sequence - Geoff Fudenberg - RegSys - ISMB 2020 Posters
Julia Zeitlinger: Using interpretable deep learning to decipher the cis-regulatory code
Can We Trust Convolutional Neural Networks for Genomics? - Peter Koo - MLCSB - ISMB 2020
MIA: Carl de Boer, Deep learning regulatory models; David Kelley, Expression prediction from DN
MIA: Anshul Kundaje, Integrative deep learning frameworks for regulatory genomics & epigenomics
DeepSTARR predicts enhancer activity from DNA sequence... - Bernardo Almeida - ISCBacademy Webinar
Kipoi Seminar - Avanti Shrikumar (Stanford University)
DECODE: A Deep-learning Framework for Condensing... - Zhanlin Chen - RegSys - Talk - ISMB/ECCB 2021
MIT Compbio Lecture 12 - Deep Learning (Fall '19)
MIA: Khoroshkin & Karimzadeh, Deciphering the RNA structural code; Primer by Hani Goodarzi (2021)
CCMB Seminar 02/17/2021- Katherine S. Pollard, PhD
MIPT Bioinformatics Club #1. DeepBind - Predicting the sequence specificities of binding proteins
ISMB 2020, Peter Koo, Can We Trust Deep Learning Predictions in Genomics?
CCMB Seminar 03/08/2017 - Anshul Kundaje, PhD
