In genomics, a wide range of machine learning methodologies have been investigated to annotate biological sequences for positions of interest such as transcription start sites …
KHD Crawford, JD Bloom - Journal of open source software, 2019 - ncbi.nlm.nih.gov
Advances in sequencing technology have made it possible to generate large numbers of long, highaccuracy sequencing reads. For instance, the new PacBio Sequel platform can …
G Liu, H Zeng, DK Gifford - BMC bioinformatics, 2019 - Springer
Background Visualization tools for deep learning models typically focus on discovering key input features without considering how such low level features are combined in intermediate …
M Raghu, E Schmidt - arXiv preprint arXiv:2003.11755, 2020 - arxiv.org
Over the past few years, we have seen fundamental breakthroughs in core problems in machine learning, largely driven by advances in deep neural networks. At the same time, the …
F Battke, K Nieselt - PLoS One, 2011 - journals.plos.org
Recently emerged deep sequencing technologies offer new high-throughput methods to quantify gene expression, epigenetic modifications and DNA-protein binding. From a …
R Wang, Y Jiang, J Jin, C Yin, H Yu… - Nucleic acids …, 2023 - academic.oup.com
Here, we present DeepBIO, the first-of-its-kind automated and interpretable deep-learning platform for high-throughput biological sequence functional analysis. DeepBIO is a one-stop …
No more hidden solutions in bioinformatics | Nature Skip to main content Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best …
W Guo, Y Xu, X Feng - arXiv preprint arXiv:1705.03094, 2017 - arxiv.org
Life science is entering a new era of petabyte-level sequencing data. Converting such big data to biological insights represents a huge challenge for computational analysis. To this …
X Shen, C Jiang, Y Wen, C Li, Q Lu - Frontiers in Systems Biology, 2022 - frontiersin.org
Deep learning is a powerful tool for capturing complex structures within the data. It holds great promise for genomic research due to its capacity of learning complex features in …