Improved Salp Swarm Algorithm based on opposition based learning and novel local search algorithm for feature selection

M Tubishat, N Idris, L Shuib, MAM Abushariah… - Expert Systems with …, 2020 - Elsevier
Many fields such as data science, data mining suffered from the rapid growth of data volume
and high data dimensionality. The main problems which are faced by these fields include …

Machine-learning-based late fusion on multi-omics and multi-scale data for non-small-cell lung cancer diagnosis

F Carrillo-Perez, JC Morales, D Castillo-Secilla… - Journal of Personalized …, 2022 - mdpi.com
Differentiation between the various non-small-cell lung cancer subtypes is crucial for
providing an effective treatment to the patient. For this purpose, machine learning …

Non-small-cell lung cancer classification via RNA-Seq and histology imaging probability fusion

F Carrillo-Perez, JC Morales, D Castillo-Secilla… - BMC …, 2021 - Springer
Background Adenocarcinoma and squamous cell carcinoma are the two most prevalent
lung cancer types, and their distinction requires different screenings, such as the visual …

[HTML][HTML] KnowSeq R-Bioc package: The automatic smart gene expression tool for retrieving relevant biological knowledge

D Castillo-Secilla, JM Gálvez, F Carrillo-Perez… - Computers in Biology …, 2021 - Elsevier
KnowSeq R/Bioc package is designed as a powerful, scalable and modular software
focused on automatizing and assembling renowned bioinformatic tools with new features …

Multimodal non-small cell lung cancer classification using convolutional neural networks

MM Amin, AS Ismail, ME Shaheen - IEEE Access, 2024 - ieeexplore.ieee.org
Lung cancer is the leading cause of death worldwide. Early detection of lung cancer is a
hard mission. New Small Cell Lung Cancer (NSCLC) is the most prevalent sub-type of lung …

Lung cancer stages classification based on differential gene expression

MS Ghaleb, HM Ebied, MF Tolba - The International Conference on …, 2023 - Springer
A form of cancer known as lung cancer usually appears in the cells that line the lungs' air
passages. It is the primary cause of cancer-related deaths in both genders. Lung …

Development of advanced machine learning models for the fusion of heterogeneous biological sources in clinical decision support systems for cancer

F Carrillo Pérez - 2023 - digibug.ugr.es
Cancer is one of the leading causes of death worldwide, just behind cardiovascular
diseases. An early diagnosis is key for the prognosis of the patient, since it allows applying …

KnowSeq R/bioc package: Beyond the traditional RNA-seq pipeline. A breast cancer case study.

D Castillo-Secilla, JM Galvez, FM Ortuno, LJ Herrera… - 2019 - researchsquare.com
The number of gene expression analyses has grown exponentially over the last years. The
main triggers of this increase are the reduction in the sequencing cost per sample and the …

Comparison of fusion methodologies using CNV and RNA-seq for cancer classification: a case study on non-small-cell lung cancer

F Carrillo-Perez, JC Morales, D Castillo-Secilla… - … and Biomedical Signal …, 2021 - Springer
Lung cancer is one of the most frequent cancer types, and one among those causing more
deceases worldwide. Nowadays, in order to improve the diagnosis of cancer more …