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Transfer learning enables predictions in network biology
Map** gene networks requires large amounts of transcriptomic data to learn the connections between genes, which impedes discoveries in settings...
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Identification of diagnostic biomarkers via weighted correlation network analysis in colorectal cancer using a system biology approach
Colorectal cancer (CRC) is the third most frequent cancer to be diagnosed in both females and males necessitating identification of effective...
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Network pharmacology, computational biology integrated surface plasmon resonance technology reveals the mechanism of ellagic acid against rotavirus
The target and mechanism of ellagic acid (EA) against rotavirus (RV) were investigated by network pharmacology, computational biology, and surface...
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System biology mediated assessment of molecular mechanism for sinapic acid against breast cancer: via network pharmacology and molecular dynamic simulation
Sinapic acid is a hydroxycinnamic acid widespread in the plant kingdom, known to be a potent anti-oxidant used for the treatment of cancer,...
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Deconstructing synthetic biology across scales: a conceptual approach for training synthetic biologists
Synthetic biology allows us to reuse, repurpose, and reconfigure biological systems to address society’s most pressing challenges. Develo**...
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Network biology analysis of P23H rhodopsin interactome identifies protein and mRNA quality control mechanisms
Rhodopsin is essential for phototransduction, and many rhodopsin mutations cause heritable retinal degenerations. The P23H rhodopsin variant...
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Engineering biology and climate change mitigation: Policy considerations
Engineering biology (EngBio) is a dynamic field that uses gene editing, synthesis, assembly, and engineering to design new or modified biological...
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Novel biomarkers for neoplastic progression from ulcerative colitis to colorectal cancer: a systems biology approach
In recent studies, the void of evaluation and in-depth understanding of unknown clinically relevant potential molecular biomarkers involved in...
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Therapeutic effect of microRNA-21 on differentially expressed hub genes in gastric cancer based on systems biology
Gastric cancer (GC) is a leading cause of mortality for many people. Cancer’s initiating factors are poorly understood. miR-21 has a crucial function...
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Integrating ensemble systems biology feature selection and bimodal deep neural network for breast cancer prognosis prediction
Breast cancer is a heterogeneous disease. To guide proper treatment decisions for each patient, robust prognostic biomarkers, which allow reliable...
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Biology-guided deep learning predicts prognosis and cancer immunotherapy response
Substantial progress has been made in using deep learning for cancer detection and diagnosis in medical images. Yet, there is limited success on...
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Obesity-associated changes in molecular biology of primary breast cancer
Obesity is associated with an increased risk of develo** breast cancer (BC) and worse prognosis in BC patients, yet its impact on BC biology...
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Functional genomics and systems biology in human neuroscience
Neuroscience research has entered a phase of key discoveries in the realm of neurogenomics owing to strong financial and intellectual support for...
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Functional annotation of proteins for signaling network inference in non-model species
Molecular biology aims to understand cellular responses and regulatory dynamics in complex biological systems. However, these studies remain...
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Network consumption and sports practice: influence on the risk of network addiction and basic psychological needs
The objective of the study was to identify the possibility of develo** a risk of addiction to social networks and to know the satisfaction of basic...
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Identification of shared pathogenetic mechanisms between COVID-19 and IC through bioinformatics and system biology
COVID-19 increased global mortality in 2019. Cystitis became a contributing factor in SARS-CoV-2 and COVID-19 complications. The complex molecular...
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Identification of hub pathways and drug candidates in gastric cancer through systems biology
Gastric cancer is the fourth cause of cancer death globally, and gastric adenocarcinoma is its most common type. Efforts for the treatment of gastric...
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Advancing the scale of synthetic biology via cross-species transfer of cellular functions enabled by iModulon engraftment
Machine learning applied to large compendia of transcriptomic data has enabled the decomposition of bacterial transcriptomes to identify...
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A gene network database for the identification of key genes for diagnosis, prognosis, and treatment in sepsis
Sepsis and sepsis-related diseases cause a high rate of mortality worldwide. The molecular and cellular mechanisms of sepsis are still unclear. We...
