Automated extraction of molecular interactions and pathway knowledge using large language model, galactica: opportunities and challenges

G Park, BJ Yoon, X Luo, V Lpez-Marrero… - The 22nd Workshop …, 2023 - aclanthology.org
Understanding protein interactions and pathway knowledge is essential for comprehending
living systems and investigating the mechanisms underlying various biological functions and …

Identification of hub genes and potential molecular mechanisms in gastric cancer by integrated bioinformatics analysis

L Cao, Y Chen, M Zhang, D Xu, Y Liu, T Liu, S Liu… - PeerJ, 2018 - peerj.com
Objective Gastric cancer (GC) is the fourth most common cause of cancer-related deaths in
the world. In the current study, we aim to identify the hub genes and uncover the molecular …

Identification of latent biomarkers in connection with progression and prognosis in oral cancer by comprehensive bioinformatics analysis

A Reyimu, Y Chen, X Song, W Zhou, J Dai… - World Journal of Surgical …, 2021 - Springer
Background Oral cancer (OC) is a common and dangerous malignant tumor with a low
survival rate. However, the micro level mechanism has not been explained in detail …

Bioinformatics-based analysis reveals elevated MFSD12 as a key promoter of cell proliferation and a potential therapeutic target in melanoma

CY Wei, MX Zhu, NH Lu, R Peng, X Yang, PF Zhang… - Oncogene, 2019 - nature.com
Although recent therapeutic advances based on our understanding of molecular
phenomena have prolonged the survival of melanoma patients, the prognosis of melanoma …

Hsa-mir-3163 and CCNB1 may be potential biomarkers and therapeutic targets for androgen receptor positive triple-negative breast cancer

P Qiu, Q Guo, Q Yao, J Chen, J Lin - PLoS One, 2021 - journals.plos.org
Breast cancer (BC) is the most common malignancy in female, but the role of androgen
receptor (AR) in triple-negative breast cancer (TNBC) is still unclear. This study aimed to …

Comparative performance evaluation of large language models for extracting molecular interactions and pathway knowledge

G Park, BJ Yoon, X Luo, V López-Marrero… - arXiv preprint arXiv …, 2023 - arxiv.org
Understanding protein interactions and pathway knowledge is crucial for unraveling the
complexities of living systems and investigating the underlying mechanisms of biological …

Identification of novel hub genes associated with gastric cancer using integrated bioinformatics analysis

XQ Lu, JQ Zhang, SX Zhang, J Qiao, MT Qiu, XR Liu… - BMC cancer, 2021 - Springer
Background Gastric cancer (GC) is one of the most common solid malignant tumors
worldwide with a high-recurrence-rate. Identifying the molecular signatures and specific …

A network-based methodology to identify subnetwork markers for diagnosis and prognosis of colorectal cancer

O Al-Harazi, IH Kaya, A El Allali, D Colak - Frontiers in genetics, 2021 - frontiersin.org
The development of reliable methods for identification of robust biomarkers for complex
diseases is critical for disease diagnosis and prognosis efforts. Integrating multi-omics data …

[HTML][HTML] Identification of hub genes, key miRNAs and potential molecular mechanisms of colorectal cancer

S Wu, F Wu, Z Jiang - Oncology Reports, 2017 - spandidos-publications.com
Colorectal cancer (CRC) is the most common cancer of the digestive system. The aim of the
present study was to identify the potential biomarkers and uncover the underlying …

Comprehensive analysis of gene expression profiles to radiation exposure reveals molecular signatures of low-dose radiation response

X Luo, S McCorkle, G Park… - 2022 IEEE …, 2022 - ieeexplore.ieee.org
There are various sources of ionizing radiation exposure, where medical exposure for
radiation therapy or diagnosis is the most common human-made source. Understanding …