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[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 …
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 …
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 …
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 …
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 …
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 …
understanding of the oncogenic mechanisms between muscle-invasive bladder cancer …
Knowledge of the perturbation design is essential for accurate gene regulatory network inference
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 …
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
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 …
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 …
a rapid speed. Among COVID-19 patients, SARS-CoV-2-associated acute respiratory …
OneSC: A computational platform for recapitulating cell state transitions
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 …
in the field of developmental biology, cancer biology, and cell fate engineering because it …