[HTML][HTML] Analysis of gene expression profiles of lung cancer subtypes with machine learning algorithms
Lung cancer is one of the most common cancer types worldwide and causes more than one
million deaths annually. Lung adenocarcinoma (AC) and lung squamous cell cancer (SCC) …
million deaths annually. Lung adenocarcinoma (AC) and lung squamous cell cancer (SCC) …
Identification of differentially expressed genes between original breast cancer and xenograft using machine learning algorithms
Breast cancer is one of the most common malignancies in women. Patient-derived tumor
xenograft (PDX) model is a cutting-edge approach for drug research on breast cancer …
xenograft (PDX) model is a cutting-edge approach for drug research on breast cancer …
Identification of leukemia stem cell expression signatures through Monte Carlo feature selection strategy and support vector machine
Acute myeloid leukemia (AML) is a type of blood cancer characterized by the rapid growth of
immature white blood cells from the bone marrow. Therapy resistance resulting from the …
immature white blood cells from the bone marrow. Therapy resistance resulting from the …
Identification of gene expression signatures across different types of neural stem cells with the Monte‐Carlo feature selection method
Adult neural stem cells (NSCs) are a group of multi‐potent, self‐renewing progenitor cells
that contribute to the generation of new neurons and oligodendrocytes. Three subtypes of …
that contribute to the generation of new neurons and oligodendrocytes. Three subtypes of …
Discriminating cirRNAs from other lncRNAs using a hierarchical extreme learning machine (H-ELM) algorithm with feature selection
As non-coding RNAs, circular RNAs (cirRNAs) and long non-coding RNAs (lncRNAs) have
attracted an increasing amount of attention. They have been confirmed to participate in …
attracted an increasing amount of attention. They have been confirmed to participate in …
Machine learning‐enhanced multi‐trait genomic prediction for optimizing cannabinoid profiles in cannabis
M Yoosefzadeh Najafabadi, D Torkamaneh - The Plant Journal, 2024 - Wiley Online Library
Cannabis sativa L., known for its medicinal and psychoactive properties, has recently
experienced rapid market expansion but remains understudied in terms of its fundamental …
experienced rapid market expansion but remains understudied in terms of its fundamental …
[HTML][HTML] Machine learning‐enhanced multi‐trait genomic prediction for optimizing cannabinoid profiles in cannabis
MY Najafabadi, D Torkamaneh - The Plant Journal, 2024 - pmc.ncbi.nlm.nih.gov
Cannabis sativa L., known for its medicinal and psychoactive properties, has recently
experienced rapid market expansion but remains understudied in terms of its fundamental …
experienced rapid market expansion but remains understudied in terms of its fundamental …
[HTML][HTML] Distinguishing three subtypes of hematopoietic cells based on gene expression profiles using a support vector machine
Hematopoiesis is a complicated process involving a series of biological sub-processes that
lead to the formation of various blood components. A widely accepted model of early …
lead to the formation of various blood components. A widely accepted model of early …
Primary tumor site specificity is preserved in patient-derived tumor xenograft models
Patient-derived tumor xenograft (PDX) mouse models are widely used for drug screening.
The underlying assumption is that PDX tissue is very similar with the original patient tissue …
The underlying assumption is that PDX tissue is very similar with the original patient tissue …
Analysis of gene expression differences between different pancreatic cells
The pancreas is a complex glandular organ in the abdominal cavity of humans. Pancreatic
tissues contain different function regions that participate in different biological processes …
tissues contain different function regions that participate in different biological processes …