Bioinformatics analysis reveals immune prognostic markers for overall survival of colorectal cancer patients: a novel machine learning survival predictive system

Bioinformatics analysis reveals immune prognostic markers for overall survival of colorectal cancer patients: a novel machine learning survival predictive system

Objectives: Immune microenvironment was closely related to the occurrence and progression of colorectal cancer (CRC). The objective of the current research was to develop and verify a Machine learning survival predictive system for CRC based on immune gene expression data and machine learning algori...

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Bibliographic Details
Main Authors: Huang, L. (Author), Li, J. (Author), Wang, P. (Author), Zhang, Z. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2022
Subjects:
BCL2L12 protein, human
biology
Cancer patients
Colorectal cancer
Colorectal Neoplasms
colorectal tumor
Computational Biology
Concordance index
'current
Databases, Genetic
Diagnosis
Diseases
forkhead transcription factor
Forkhead Transcription Factors
FOXD1 protein, human
gene expression regulation
Gene Expression Regulation, Neoplastic
genetic database
genetics
Histology
human
Humans
Immune gene
Learning algorithms
machine learning
Machine learning
Machine Learning
Machine learning algorithms
muscle protein
Muscle Proteins
Overall survival
pathology
Predictive systems
prognosis
Prognosis
Prognostic markers
Prognostic model
Prognostic modeling
protein bcl 2
Proto-Oncogene Proteins c-bcl-2
Regulatory network
Tissue
Transcription
tumor microenvironment
Tumor Microenvironment
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