Current topics in medicinal chemistry
Jan 1, 2022
BACKGROUND: The lengthy and expensive process of developing a novel medicine often takes many years and entails a significant financial burden due to its poor success rate. Furthermore, the processing and analysis of quickly expanding massive data ne...
Methods in molecular biology (Clifton, N.J.)
Jan 1, 2022
In the modern health care research, protein phosphorylation has gained an enormous attention from the researchers across the globe and requires automated approaches to process a huge volume of data on proteins and their modifications at the cellular ...
Methods in molecular biology (Clifton, N.J.)
Jan 1, 2022
The major outcomes and insights of scientific research and clinical study end up in the form of publication or clinical record in an unstructured text format. Due to advancements in biomedical research, the growth of published literature is getting t...
Methods in molecular biology (Clifton, N.J.)
Jan 1, 2022
Epidemiological studies identifying biological markers of disease state are valuable, but can be time-consuming, expensive, and require extensive intuition and expertise. Furthermore, not all hypothesized markers will be borne out in a study, suggest...
Methods in molecular biology (Clifton, N.J.)
Jan 1, 2022
Protein posttranslational modifications (PTMs) are a rapidly expanding feature class of significant importance in cell biology. Due to a high burden of experimental proof, the number of functionals PTMs in the eukaryotic proteome is currently underes...
Methods in molecular biology (Clifton, N.J.)
Jan 1, 2022
Phosphorylation plays a vital role in signal transduction and cell cycle. Identifying and understanding phosphorylation through machine-learning methods has a long history. However, existing methods only learn representations of a protein sequence se...
Cancer control : journal of the Moffitt Cancer Center
Jan 1, 2022
INTRODUCTION: Cancer is a major public health problem and a global leading cause of death where the screening, diagnosis, prediction, survival estimation, and treatment of cancer and control measures are still a major challenge. The rise of Artificia...
Health informatics journal
Jan 1, 2022
BACKGROUND: Emergency Department (ED) overcrowding is an emerging risk to patient safety. This study aims to assess and compare the predictive ability of machine learning (ML) models for predicting frequent ED users.
IEEE computer graphics and applications
Jan 1, 2022
Graphs and other structured data have come to the forefront in machine learning over the past few years due to the efficacy of novel representation learning methods boosting the prediction performance in various tasks. Representation learning methods...
Methods in molecular biology (Clifton, N.J.)
Jan 1, 2022
Chromatin is highly structured, and changes in its organization are essential in many cellular processes, including cell division. Recently, advances in machine learning have enabled researchers to automatically classify chromatin morphology in fluor...