AIMC Topic: Gene Expression Regulation, Leukemic

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Decoding the diagnostic biomarkers of mitochondrial dysfunction related gene variants in pediatric T cell acute lymphoblastic leukemia.

Scientific reports Jul 1, 2025
Mitochondrial dysfunction is crucial in the pathogenesis and drug resistance of pediatric T-cell acute lymphoblastic leukemia (T-ALL), a malignant hematological disorder with unrestrained proliferation of immature T-cells. Therefore, the primary obje...
Gene Expression Profiling Adolescent Child, Preschool Female Biomarkers, Tumor Male MicroRNAs Mitochondria Precursor T-Cell Lymphoblastic Leukemia-Lymphoma Gene Expression Regulation, Leukemic Child Gene Regulatory Networks RNA, Messenger Humans
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Machine learning based analysis of single-cell data reveals evidence of subject-specific single-cell gene expression profiles in acute myeloid leukaemia patients and healthy controls.

Biochimica et biophysica acta. Gene regulatory mechanisms Oct 2, 2024
Acute Myeloid Leukaemia (AML) is characterized by uncontrolled growth of immature myeloid cells, disrupting normal blood production. Treatment typically involves chemotherapy, targeted therapy, and stem cell transplantation but many patients develop ...
Gene Expression Profiling Humans Single-Cell Analysis Transcriptome Gene Expression Regulation, Leukemic Machine Learning Case-Control Studies Leukemia, Myeloid, Acute
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Machine learning analysis of gene expression reveals TP53 Mutant-like AML with wild type TP53 and poor prognosis.

Blood cancer journal May 14, 2024
Female Leukemia, Myeloid, Acute Male Middle Aged Humans Machine Learning Prognosis Mutation Tumor Suppressor Protein p53 Gene Expression Regulation, Leukemic
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Identification of drug combinations on the basis of machine learning to maximize anti-aging effects.

PloS one Jan 28, 2021
Aging is a multifactorial process that involves numerous genetic changes, so identifying anti-aging agents is quite challenging. Age-associated genetic factors must be better understood to search appropriately for anti-aging agents. We utilized an ag...
Oligonucleotide Array Sequence Analysis Gene Expression Regulation, Leukemic Gene Expression Profiling Antineoplastic Combined Chemotherapy Protocols HL-60 Cells Machine Learning Leukemia, Myeloid, Acute Aging Humans
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A Comparative Study of Supervised Machine Learning Algorithms for the Prediction of Long-Range Chromatin Interactions.

Genes Aug 24, 2020
The role of three-dimensional genome organization as a critical regulator of gene expression has become increasingly clear over the last decade. Most of our understanding of this association comes from the study of long range chromatin interaction ma...
Support Vector Machine Supervised Machine Learning Genome, Human Chromatin K562 Cells Gene Expression Regulation, Leukemic Humans Algorithms Computer Simulation
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A fast gene selection method for multi-cancer classification using multiple support vector data description.

Journal of biomedical informatics Dec 27, 2014
For cancer classification problems based on gene expression, the data usually has only a few dozen sizes but has thousands to tens of thousands of genes which could contain a large number of irrelevant genes. A robust feature selection algorithm is r...
Gene Expression Regulation, Leukemic Leukemia Humans Colonic Neoplasms Pattern Recognition, Automated Artificial Intelligence Oligonucleotide Array Sequence Analysis Models, Statistical Bayes Theorem Gene Expression Gene Expression Profiling Software Gene Expression Regulation, Neoplastic Diagnosis, Computer-Assisted Algorithms Support Vector Machine Neoplasms
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Machine learning integrates genomic signatures for subclassification beyond primary and secondary acute myeloid leukemia.

Blood Nov 11, 2021
Although genomic alterations drive the pathogenesis of acute myeloid leukemia (AML), traditional classifications are largely based on morphology, and prototypic genetic founder lesions define only a small proportion of AML patients. The historical su...
Gene Expression Regulation, Leukemic Translocation, Genetic Cytogenetics Bayes Theorem Mutation Neoplasms, Second Primary Humans Machine Learning Leukemia, Myeloid, Acute Genomics
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Partitioned learning of deep Boltzmann machines for SNP data.

Bioinformatics (Oxford, England) Oct 15, 2017
MOTIVATION: Learning the joint distributions of measurements, and in particular identification of an appropriate low-dimensional manifold, has been found to be a powerful ingredient of deep leaning approaches. Yet, such approaches have hardly been ap...
Humans Machine Learning Software Polymorphism, Single Nucleotide Computational Biology Gene Expression Regulation, Leukemic Leukemia, Myeloid
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A novel random forests-based feature selection method for microarray expression data analysis.

International journal of data mining and bioinformatics Jan 1, 2015
High-dimensional data and a large number of redundancy features in bioinformatics research have created an urgent need for feature selection. In this paper, a novel random forests-based feature selection method is proposed that adopts the idea of str...
Oligonucleotide Array Sequence Analysis Gene Expression Profiling Humans Support Vector Machine Gene Expression Regulation, Leukemic Databases, Genetic Biomarkers, Tumor Leukemia Animals
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A genetic filter for cancer classification on gene expression data.

Bio-medical materials and engineering Jan 1, 2015
We present a new genetic filter to identify a predictive gene subset for cancer-type classification on gene expression profiles. This approach pursues to not only maximize correlation between selected genes and cancer types but also minimize inter-co...
Leukemia Gene Expression Profiling Transcriptome Gene Expression Regulation, Leukemic Humans Artificial Intelligence Algorithms
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