A systematic review on biomarker identification for cancer diagnosis and prognosis in multi-omics: from computational needs to machine learning and deep learning
Biomarkers, also known as biological markers, are substances like transcripts,
deoxyribonucleic acid (DNA), genes, proteins, and metabolites that indicate whether a …
deoxyribonucleic acid (DNA), genes, proteins, and metabolites that indicate whether a …
A pan-cancer-bioinformatic-based literature review of TRPM7 in cancers
TRPM7, a divalent cation-selective channel with kinase domains, has been widely reported
to potentially affect cancers. In this study, we conducted multiple bioinformatic analyses …
to potentially affect cancers. In this study, we conducted multiple bioinformatic analyses …
GSCA: an integrated platform for gene set cancer analysis at genomic, pharmacogenomic and immunogenomic levels
Cancer initiation and progression are likely caused by the dysregulation of biological
pathways. Gene set analysis (GSA) could improve the signal-to-noise ratio and identify …
pathways. Gene set analysis (GSA) could improve the signal-to-noise ratio and identify …
AnimalTFDB 3.0: a comprehensive resource for annotation and prediction of animal transcription factors
Abstract The Animal Transcription Factor DataBase (AnimalTFDB) is a resource aimed to
provide the most comprehensive and accurate information for animal transcription factors …
provide the most comprehensive and accurate information for animal transcription factors …
[HTML][HTML] Crosstalk between 5-methylcytosine and N6-methyladenosine machinery defines disease progression, therapeutic response and pharmacogenomic …
Y Tian, H Xiao, Y Yang, P Zhang, J Yuan, W Zhang… - Molecular cancer, 2023 - Springer
Background Accumulated evidence highlights the significance of the crosstalk between
epigenetic and epitranscriptomic mechanisms, notably 5-methylcytosine (5mC) and N6 …
epigenetic and epitranscriptomic mechanisms, notably 5-methylcytosine (5mC) and N6 …
[HTML][HTML] Circadian rhythm-related genes index: A predictor for HNSCC prognosis, immunotherapy efficacy, and chemosensitivity
H Chi, J Yang, G Peng, J Zhang, G Song, X Xie… - Frontiers in …, 2023 - frontiersin.org
Background Head and neck squamous cell carcinoma (HNSCC) is the most common head
and neck cancer and is highly aggressive and heterogeneous, leading to variable prognosis …
and neck cancer and is highly aggressive and heterogeneous, leading to variable prognosis …
Expression profile of immune checkpoint genes and their roles in predicting immunotherapy response
Immune checkpoint genes (ICGs) play critical roles in circumventing self-reactivity and
represent a novel target to develop treatments for cancers. However, a comprehensive …
represent a novel target to develop treatments for cancers. However, a comprehensive …
[HTML][HTML] Identification and validation of neurotrophic factor-related gene signatures in glioblastoma and Parkinson's disease
S Zhao, H Chi, Q Yang, S Chen, C Wu, G Lai… - Frontiers in …, 2023 - frontiersin.org
Background Glioblastoma multiforme (GBM) is the most common cancer of the central
nervous system, while Parkinson's disease (PD) is a degenerative neurological condition …
nervous system, while Parkinson's disease (PD) is a degenerative neurological condition …
hTFtarget: a comprehensive database for regulations of human transcription factors and their targets
Transcription factors (TFs) as key regulators play crucial roles in biological processes. The
identification of TF–target regulatory relationships is a key step for revealing functions of TFs …
identification of TF–target regulatory relationships is a key step for revealing functions of TFs …
EVmiRNA: a database of miRNA profiling in extracellular vesicles
Extracellular vesicles (EVs), such as exosomes and microvesicles, acted as cell-to-cell
communication vectors and potential biomarkers for diseases. microRNAs (miRNAs) are the …
communication vectors and potential biomarkers for diseases. microRNAs (miRNAs) are the …