Network-based machine learning and graph theory algorithms for precision oncology

W Zhang, J Chien, J Yong, R Kuang - NPJ precision oncology, 2017 - nature.com
Network-based analytics plays an increasingly important role in precision oncology.
Growing evidence in recent studies suggests that cancer can be better understood through …

LncRNA-mediated orchestrations of alternative splicing in the landscape of breast cancer

S Kansara, P Sawant, T Kaur, M Garg… - Biochimica et Biophysica …, 2024 - Elsevier
Alternative splicing (AS) is a fundamental post-transcriptional process in eukaryotes,
enabling a single gene to generate diverse mRNA transcripts, thereby enhancing protein …

Vasodilator-stimulated phosphoprotein promotes liver metastasis of gastrointestinal cancer by activating a β1-integrin-FAK-YAP1/TAZ signaling pathway

X Xiang, Y Wang, H Zhang, J Piao… - NPJ precision …, 2018 - nature.com
Extracellular matrix (ECM)-induced β1-integrin-FAK signaling promotes cell attachment,
survival, and migration of cancer cells in a distant organ so as to enable cancer metastasis …

An integrative model for alternative polyadenylation, IntMAP, delineates mTOR-modulated endoplasmic reticulum stress response

JW Chang, W Zhang, HS Yeh, M Park… - Nucleic acids …, 2018 - academic.oup.com
untranslated regions (UTRs) can vary through the use of alternative polyadenylation sites
during pre-mRNA processing. Multiple publically available pipelines combining high …

[HTML][HTML] Systemic immune microenvironment and regulatory network analysis in patients with lung adenocarcinoma

L Liu, S Xu, L Huang, J He, G Liu, S Ma… - Translational Cancer …, 2021 - ncbi.nlm.nih.gov
Background This study applied a complex bioinformatics analysis to explore the hub
regulators and immune network to further elucidate the molecular mechanisms of lung …

tRNA fragments populations analysis in mutants affecting tRNAs processing and tRNA methylation

A Molla-Herman, MT Angelova, M Ginestet… - Frontiers in …, 2020 - frontiersin.org
tRNA fragments (tRFs) are a class of small non-coding RNAs (sncRNAs) derived from
tRNAs. tRFs are highly abundant in many cell types including stem cells and cancer cells …

A 65-nm RRAM Compute-in-Memory Macro for Genome Processing

F Zhang, A Sridharan, W He, I Yeo… - IEEE Journal of Solid …, 2024 - ieeexplore.ieee.org
This work presents the first resistive random access memory (RRAM)-based compute-in-
memory (CIM) macro design tailored for genome processing. We analyze and demonstrate …

As-quant: Detection and visualization of alternative splicing events with rna-seq data

NA Fahmi, H Nassereddeen, J Chang, M Park… - International journal of …, 2021 - mdpi.com
(1) Background: A simplistic understanding of the central dogma falls short in correlating the
number of genes in the genome to the number of proteins in the proteome. Post …

CXCL12 and IL7R as novel therapeutic targets for liver hepatocellular carcinoma are correlated with somatic mutations and the tumor immunological …

K He, S Liu, Y Xia, J Xu, F Liu, J Xiao, Y Li… - Frontiers in …, 2020 - frontiersin.org
The mechanism of liver hepatocellular carcinoma (LIHC) development in correlation with
tumor microenvironments and somatic mutations is still being elucidated. This study aims to …

A large-scale comparative study of isoform expressions measured on four platforms

W Zhang, R Petegrosso, JW Chang, J Sun, J Yong… - BMC genomics, 2020 - Springer
Background Most eukaryotic genes produce different transcripts of multiple isoforms by
inclusion or exclusion of particular exons. The isoforms of a gene often play diverse …