ALBERT

Keywords: TP248.13-248.65 ; T1-995 ; cancer treatment ; extreme learning ; independent prognostic power ; AID/APOBEC ; HP ; gene inactivation biomarkers ; biomarker discovery ; chemotherapy ; artificial intelligence ; epigenetics ; comorbidity score ; denoising autoencoders ; protein ; single-biomarkers ; gene signature extraction ; high-throughput analysis ; concatenated deep feature ; feature selection ; differential gene expression analysis ; colorectal cancer ; ovarian cancer ; multiple-biomarkers ; gefitinib ; cancer biomarkers ; classification ; cancer biomarker ; mutation ; hierarchical clustering analysis ; HNSCC ; cell-free DNA ; network analysis ; drug resistance ; hTERT ; variable selection ; KRAS mutation ; single-cell sequencing ; network target ; skin cutaneous melanoma ; telomeres ; Neoantigen Prediction ; datasets ; clinical/environmental factors ; StAR ; PD-L1 ; miRNA ; circulating tumor DNA (ctDNA) ; false discovery rate ; predictive model ; Computational Immunology ; brain metastases ; observed survival interval ; next generation sequencing ; brain ; machine learning ; cancer prognosis ; copy number aberration ; mutable motif ; steroidogenic enzymes ; tumor ; mortality ; tumor microenvironment ; somatic mutation ; transcriptional signatures ; omics profiles ; mitochondrial metabolism ; Bufadienolide-like chemicals ; cancer-related pathways ; intratumor heterogeneity ; estrogen ; locoregionally advanced ; RNA ; feature extraction and interpretation ; treatment de-escalation ; activation induced deaminase ; knockoffs ; R package ; copy number variation ; gene loss biomarkers ; cancer CRISPR ; overall survival ; histopathological imaging ; self-organizing map ; Network Analysis ; oral cancer ; biostatistics ; firehose ; Bioinformatics tool ; alternative splicing ; biomarkers ; diseases genes ; histopathological imaging features ; imaging ; TCGA ; decision support systems ; The Cancer Genome Atlas ; molecular subtypes ; molecular mechanism ; omics ; curative surgery ; network pharmacology ; methylation ; bioinformatics ; neurological disorders ; precision medicine ; cancer modeling ; miRNAs ; breast cancer detection ; functional analysis ; biomarker signature ; anti-cancer ; hormone sensitive cancers ; deep learning ; DNA sequence profile ; pancreatic cancer ; telomerase ; Monte Carlo ; mixture of normal distributions ; survival analysis ; tumor infiltrating lymphocytes ; curation ; pathophysiology ; GEO DataSets ; head and neck cancer ; gene expression analysis ; erlotinib ; meta-analysis ; traditional Chinese medicine ; breast cancer ; TCGA mining ; breast cancer prognosis ; microarray ; DNA ; interaction ; health strengthening herb ; cancer ; genomic instability ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TC Biochemical engineering::TCB Biotechnology