Deep learning methods such as multilayer perceptrons (MLPs) and convolutional neural networks (CNNs) have been applied to predict the complex traits in animal and plant breeding. However, it remains ...
Accurately predicting the on-target activity of sgRNAs remains a challenge in CRISPR-Cas9 applications, due to the limited generalization of existing models across datasets, small-sample settings, and ...
My dataset consists of 2089 patients and each patient has a sequence of time/code pairs of varying length. The time is numeric value relative to a reference date, with values from 0 back to -800 ...
ABSTRACT: Introduction: Breast Cancer (BC) remains a significant health concern worldwide, and accurate prediction of its recurrence after surgery is vital for patient management and treatment ...
An enthusiastic crowd turned up for an event in which a Manhattan cafe transformed itself into the Hot Fellas bakery from “And Just Like That …” Librae Bakery in Manhattan was transformed into a ...
ABSTRACT: Evaluating drug safety during pregnancy remains an ongoing clinical and pharmacological challenge due to ethical, practical, and regulatory barriers, resulting in scarce human clinical trial ...
Abstract: Semantic segmentation using LiDAR is a fundamental aspect in perception for autonomous driving. Conventional training methodologies commonly employ one-hot encoding for labels, followed by a ...
Abstract: RNA-binding proteins (RBPs) are pivotal in regulating various biological processes, including RNA splicing and protein translation. Accurate classification of RBPs is crucial for ...
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