[HTML][HTML] Proteomic approaches advancing targeted protein degradation
G Sathe, GP Sapkota - Trends in pharmacological sciences, 2023 - cell.com
Targeted protein degradation (TPD) is an emerging modality for research and therapeutics.
Most TPD approaches harness cellular ubiquitin-dependent proteolytic pathways …
Most TPD approaches harness cellular ubiquitin-dependent proteolytic pathways …
[HTML][HTML] Boosting grapevine breeding for climate-smart viticulture: from genetic resources to predictive genomics
The multifaceted nature of climate change is increasing the urgency to select resilient
grapevine varieties, or generate new, fitter cultivars, to withstand a multitude of new …
grapevine varieties, or generate new, fitter cultivars, to withstand a multitude of new …
Reviewing the essential roles of remote phenotyping, GWAS and explainable AI in practical marker-assisted selection for drought-tolerant winter wheat breeding
I Chang-Brahim, LJ Koppensteiner… - Frontiers in Plant …, 2024 - frontiersin.org
Marker-assisted selection (MAS) plays a crucial role in crop breeding improving the speed
and precision of conventional breeding programmes by quickly and reliably identifying and …
and precision of conventional breeding programmes by quickly and reliably identifying and …
Multimodal deep learning as a next challenge in nutrition research: tailoring fermented dairy products based on cytidine diphosphate-diacylglycerol synthase …
X Wu, W Jia - Critical Reviews in Food Science and Nutrition, 2023 - Taylor & Francis
Deep learning is evolving in nutritional epidemiology to address challenges including
precise nutrition and data-driven disease modeling. Fermented dairy products consumption …
precise nutrition and data-driven disease modeling. Fermented dairy products consumption …
Interpretable deep learning framework for understanding molecular changes in human brains with Alzheimer's disease: implications for microglia activation and sex …
INTRODUCTION The objective of this study is to characterize the dysregulation of gene
expression in AD affected brain tissues through an interpretable deep learning framework …
expression in AD affected brain tissues through an interpretable deep learning framework …
The future of equine semen analysis
FJ Peña, FE Martín-Cano, L Becerro-Rey… - Reproduction …, 2024 - CSIRO Publishing
We are currently experiencing a period of rapid advancement in various areas of science
and technology. The integration of high throughput 'omics' techniques with advanced …
and technology. The integration of high throughput 'omics' techniques with advanced …
Application of Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) Algorithm in Gold Price Prediction
NPJR Dewi, NLWSR Ginantra… - … on Cyber and IT …, 2023 - ieeexplore.ieee.org
Gold is a precious metal that is in great demand by the public as an investment tool. The
survey results stated that 58.5% of the 5.204 respondents chose gold as the most desirable …
survey results stated that 58.5% of the 5.204 respondents chose gold as the most desirable …
Optimal Brain Dissection in Dense Autoencoders: Towards Determining Feature Importance in-Omics Data
F Amin, L Van den Broeck, I De Smet… - 2023 IEEE 5th …, 2023 - ieeexplore.ieee.org
Recently, there has been increased interest in ma-chine learning explainability.
Understanding the complex relationship between input features of a model and their …
Understanding the complex relationship between input features of a model and their …