Machine learning assessment of early life factors predicting suicide attempt in adolescence or young adulthood

MC Navarro, I Ouellet-Morin, MC Geoffroy… - JAMA network …, 2021 - jamanetwork.com
Importance Although longitudinal studies have reported associations between early life
factors (ie, in-utero/perinatal/infancy) and long-term suicidal behavior, they have …

iMPT‐FDNPL: Identification of Membrane Protein Types with Functional Domains and a Natural Language Processing Approach

W Chen, L Chen, Q Dai - Computational and Mathematical …, 2021 - Wiley Online Library
Membrane protein is an important kind of proteins. It plays essential roles in several cellular
processes. Based on the intramolecular arrangements and positions in a cell, membrane …

Improving mixed-integer temporal modeling by generating synthetic data using conditional generative adversarial networks: A case study of fluid overload prediction …

A Rafiei, MG Rad, A Sikora, R Kamaleswaran - Computers in Biology and …, 2024 - Elsevier
Objective The challenge of mixed-integer temporal data, which is particularly prominent for
medication use in the critically ill, limits the performance of predictive models. The purpose …

[PDF][PDF] Identification of protein functions in mouse with a label space partition method

X Li, L Lu, L Chen - Math. Biosci. Eng, 2022 - aimspress.com
Protein is very important for almost all living creatures because it participates in most
complicated and essential biological processes. Determining the functions of given proteins …

Transfer learning approaches to improve drug sensitivity prediction in multiple myeloma patients

T Turki, Z Wei, JTL Wang - IEEE Access, 2017 - ieeexplore.ieee.org
Traditional machine learning approaches to drug sensitivity prediction assume that training
data and test data must be in the same feature space and have the same underlying …

[HTML][HTML] Classification of widely and rarely expressed genes with recurrent neural network

L Chen, XY Pan, YH Zhang, M Liu, T Huang… - Computational and …, 2019 - Elsevier
A tissue-specific gene expression shapes the formation of tissues, while gene expression
changes reflect the immune response of the human body to environmental stimulations or …

Surface roughness measurement method based on multi-parameter modeling learning

S Chen, R Feng, C Zhang, Y Zhang - measurement, 2018 - Elsevier
To improve the accuracy and efficiency of the existing roughness measurement methods, we
propose a new surface roughness measurement technique based on multi-parameter …

Comparing miRNA structure of mirtrons and non-mirtrons

II Titov, PS Vorozheykin - BMC genomics, 2018 - Springer
Background MicroRNAs proceeds through the different canonical and non-canonical
pathways; the most frequent of the non-canonical ones is the splicing-dependent biogenesis …

[PDF][PDF] A deep learning approach for viral DNA sequence classification using genetic algorithm

A El-Tohamy, HA Maghwary, N Badr - International Journal of …, 2022 - researchgate.net
DNA sequence classification is one of the major challenges in biological data processing.
The identification and classification of novel viral genome sequences drastically help in …

A network integration method for deciphering the types of metabolic pathway of chemicals with heterogeneous information

ZH Guo, L Chen, X Zhao - Combinatorial chemistry & high …, 2018 - ingentaconnect.com
Aim and Objective: A metabolic pathway is an important type of biological pathway, which is
composed of a series of chemical reactions. It provides essential molecules and energies for …