Proteomic discovery of non-invasive biomarkers of localized prostate cancer using mass spectrometry
Prostate cancer is the second most frequently diagnosed non-skin cancer in men worldwide.
Patient outcomes are remarkably heterogeneous and the best existing clinical prognostic …
Patient outcomes are remarkably heterogeneous and the best existing clinical prognostic …
[HTML][HTML] Gene selection for tumor classification using a novel bio-inspired multi-objective approach
Identifying the informative genes has always been a major step in microarray data analysis.
The complexity of various cancer datasets makes this issue still challenging. In this paper, a …
The complexity of various cancer datasets makes this issue still challenging. In this paper, a …
Learning vector quantized representation for cancer subtypes identification
Background and objective: Defining and separating cancer subtypes is essential for
facilitating personalized therapy modality and prognosis of patients. The definition of …
facilitating personalized therapy modality and prognosis of patients. The definition of …
A transcriptome-based signature of pathological angiogenesis predicts breast cancer patient survival
The specific genes and molecules that drive physiological angiogenesis differ from those
involved in pathological angiogenesis, suggesting distinct mechanisms for these seemingly …
involved in pathological angiogenesis, suggesting distinct mechanisms for these seemingly …
Cancer subtyping by improved transcriptomic features using vector quantized variational autoencoder
Defining and separating cancer subtypes is essential for facilitating personalized therapy
modality and prognosis of patients. The definition of subtypes has been constantly …
modality and prognosis of patients. The definition of subtypes has been constantly …
Hybrid whale algorithm with evolutionary strategies and filtering for high-dimensional optimization: Application to microarray cancer data
The standard whale algorithm is prone to suboptimal results and inefficiencies in high-
dimensional search spaces. Therefore, examining the whale optimization algorithm …
dimensional search spaces. Therefore, examining the whale optimization algorithm …
Exponential model for breast cancer partly interval censored data via multiple imputation
S Umer - 2021 - qspace.qu.edu.qa
The estimation problem for interval-censored data has been investigated by several authors.
The application of conventional methods to interval censored data that has been considered …
The application of conventional methods to interval censored data that has been considered …
A Novel Hybrid WOA Algorithm enhanced with Evolutionary Strategy for High-Dimensional problems: An application on Microarray Cancer Data
R Hafiz, S Saeed - 2022 - researchsquare.com
The stochastic optimization of continuous space for numerical problems has become a
major challenge for scientists. The whale optimization algorithm (WOA) simulates the …
major challenge for scientists. The whale optimization algorithm (WOA) simulates the …
A Robust Semi-Supervised Learning Framework for Predicting Breast Cancer Recurrence
A Erekat - 2021 - search.proquest.com
Predicting breast cancer recurrence is a substantial challenge in breast cancer
management. Current prediction tools rely only on phenotypic (non-personalized) measures …
management. Current prediction tools rely only on phenotypic (non-personalized) measures …
Desarrollo de un Modelo de Predicción de la Deserción de Clientes de una Empresa de Medicina Prepagada utilizando Análisis de Supervivencia
MA Pérez Cárdenas - 2020 - bibdigital.epn.edu.ec
El área de mercadeo, con el fin de apuntalar el cumplimiento de los objetivos estratégicos
de las compañías, invierte fuertemente en el control de la deserción de clientes ya que ésta …
de las compañías, invierte fuertemente en el control de la deserción de clientes ya que ésta …