[HTML][HTML] Network biology and artificial intelligence drive the understanding of the multidrug resistance phenotype in cancer

B Bueschbell, AB Caniceiro, PMS Suzano… - Drug Resistance …, 2022 - Elsevier
Globally with over 10 million deaths per year, cancer is the most transversal disease across
countries, cultures, and ethnicities, affecting both developed and develo** regions …

[HTML][HTML] Identifying drug targets of oral squamous cell carcinoma through a systems biology method and genome-wide microarray data for drug discovery by deep …

YC Lin, BS Chen - International Journal of Molecular Sciences, 2022 - mdpi.com
In this study, we provide a systems biology method to investigate the carcinogenic
mechanism of oral squamous cell carcinoma (OSCC) in order to identify some important …

Drug target identification and drug repurposing in psoriasis through systems biology approach, DNN-based DTI model and genome-wide microarray data

YP Zhan, BS Chen - International Journal of Molecular Sciences, 2023 - mdpi.com
Psoriasis is a chronic skin disease that affects millions of people worldwide. In 2014,
psoriasis was recognized by the World Health Organization (WHO) as a serious non …

UNMF: a unified nonnegative matrix factorization for multi-dimensional omics data

K Abe, T Shimamura - Briefings in bioinformatics, 2023 - academic.oup.com
Factor analysis, ranging from principal component analysis to nonnegative matrix
factorization, represents a foremost approach in analyzing multi-dimensional data to extract …

GRNbenchmark-a web server for benchmarking directed gene regulatory network inference methods

D Seçilmiş, T Hillerton… - Nucleic Acids …, 2022 - academic.oup.com
Accurate inference of gene regulatory networks (GRN) is an essential component of systems
biology, and there is a constant development of new inference methods. The most common …

[HTML][HTML] Systems drug design for muscle invasive bladder cancer and advanced bladder cancer by genome-wide microarray data and deep learning method with drug …

PW Su, BS Chen - International Journal of Molecular Sciences, 2022 - mdpi.com
Bladder cancer is the 10th most common cancer worldwide. Due to the lack of
understanding of the oncogenic mechanisms between muscle-invasive bladder cancer …

Knowledge of the perturbation design is essential for accurate gene regulatory network inference

D Seçilmiş, T Hillerton, A Tjärnberg, S Nelander… - Scientific reports, 2022 - nature.com
The gene regulatory network (GRN) of a cell executes genetic programs in response to
environmental and internal cues. Two distinct classes of methods are used to infer …

[HTML][HTML] A machine learning and directed network optimization approach to uncover TP53 regulatory patterns

CP Triantafyllidis, A Barberis, F Hartley, AM Cuervo… - Iscience, 2023 - cell.com
TP53, the Guardian of the Genome, is the most frequently mutated gene in human cancers
and the functional characterization of its regulation is fundamental. To address this we …

[HTML][HTML] Repurposing Multiple-Molecule Drugs for COVID-19-Associated Acute Respiratory Distress Syndrome and Non-Viral Acute Respiratory Distress Syndrome …

CT Ting, BS Chen - International Journal of Molecular Sciences, 2022 - mdpi.com
The coronavirus disease 2019 (COVID-19) epidemic is currently raging around the world at
a rapid speed. Among COVID-19 patients, SARS-CoV-2-associated acute respiratory …

OneSC: A computational platform for recapitulating cell state transitions

D Peng, P Cahan - Bioinformatics, 2024 - academic.oup.com
Motivation Computational modeling of cell state transitions has been a great interest of many
in the field of developmental biology, cancer biology, and cell fate engineering because it …