TIS transformer: remap** the human proteome using deep learning
The correct map** of the proteome is an important step towards advancing our
understanding of biological systems and cellular mechanisms. Methods that provide better …
understanding of biological systems and cellular mechanisms. Methods that provide better …
SYMBA: symbolic computation of squared amplitudes in high energy physics with machine learning
The cross section is one of the most important physical quantities in high-energy physics
and the most time consuming to compute. While machine learning has proven to be highly …
and the most time consuming to compute. While machine learning has proven to be highly …
[HTML][HTML] JLCRB: A unified multi-view-based joint representation learning for CircRNA binding sites prediction
X Du, Z Xue - Journal of Biomedical Informatics, 2022 - Elsevier
CircRNAs usually bind to the corresponding RBPs (RNA Binding proteins) and play a key
role in gene regulation. Therefore, it is important to identify the binding sites of RBPs on …
role in gene regulation. Therefore, it is important to identify the binding sites of RBPs on …
A transformer-based model trained on large scale claims data for prediction of severe COVID-19 disease progression
In situations like the COVID-19 pandemic, healthcare systems are under enormous pressure
as they can rapidly collapse under the burden of the crisis. Machine learning (ML) based risk …
as they can rapidly collapse under the burden of the crisis. Machine learning (ML) based risk …
Pretraining strategies for effective promoter-driven gene expression prediction.
Advances in gene delivery technologies are enabling rapid progress in molecular medicine,
but require precise expression of genetic cargo in desired cell types, which is predominantly …
but require precise expression of genetic cargo in desired cell types, which is predominantly …
ASCRB: Multi-view based attentional feature selection for CircRNA-binding site prediction
L Li, Z Xue, X Du - Computers in Biology and Medicine, 2023 - Elsevier
CircRNA is a non-coding RNA with a special circular structure, which plays a key role in a
variety of life activities by interacting with RNA-binding proteins through CircRNA binding …
variety of life activities by interacting with RNA-binding proteins through CircRNA binding …
Predicting the sequence specificities of DNA-binding proteins by DNA fine-tuned language model with decaying learning rates
DNA-binding proteins (DBPs) play vital roles in the regulation of biological systems.
Although there are already many deep learning methods for predicting the sequence …
Although there are already many deep learning methods for predicting the sequence …
Biological sequence embedding based classification for MERS and SARS
Biological sequence comparison is one of the key tasks in finding similarities between
different species. The primary task involved in computing such biological sequences is to …
different species. The primary task involved in computing such biological sequences is to …
[PDF][PDF] Symbolic Machine Learning for High Energy Physics Calculations
The calculation of cross sections is of paramount importance in high-energy physics. Among
other steps, this process involves squaring the particle interaction amplitudes, which can be …
other steps, this process involves squaring the particle interaction amplitudes, which can be …