Cover Image

A Bioinformatic Approach Validated Utilizing Machine Learning Algorithms to Identify Relevant Biomarkers and Crucial Pathways in Gallbladder Cancer

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Khatun, Rabea, Tasnim, Wahia, Akter, Maksuda, Islam, Md Manowarul, Uddin, Md. Ashraf, Mahmud, Md. Zulfiker, Das, Saurav Chandra
Format:	Preprint
Published:	2024
Subjects:	Genomics Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Hybrid Feature Fusion Deep Learning Framework for Leukemia Cancer Detection in Microscopic Blood Sample Using Gated Recurrent Unit and Uncertainty Quantification
by: Akter, Maksuda, et al.
Published: (2024)

An Integrated Deep Learning Model for Skin Cancer Detection Using Hybrid Feature Fusion Technique
by: Akter, Maksuda, et al.
Published: (2024)

Exploring Gene Regulatory Interaction Networks and predicting therapeutic molecules for Hypopharyngeal Cancer and EGFR-mutated lung adenocarcinoma
by: Bhattacharjya, Abanti, et al.
Published: (2024)

Identifying multi-omics interactions for lung cancer drug targets discovery using Kernel Machine Regression
by: Ahmed, Md. Imtyaz, et al.
Published: (2025)

Discovery of Essential Genes as Possible Targets for Prostate Cancer Drug Development
by: Md Amanat Ullah Arman, et al.
Published: (2025)

Integrative Bioinformatics and Machine Learning Identify Novel Diagnostic Biomarkers and Molecular Mechanisms in Sjögren’s Syndrome
by: Hua Xu, et al.
Published: (2026)

Identification and Validation of Biomarkers in Metabolic Dysfunction‐Associated Steatohepatitis Using Machine Learning and Bioinformatics
by: Yu‐Ying Zhang, et al.
Published: (2025)

An Optimized Ensemble Deep Learning Model For Brain Tumor Classification
by: Talukder, Md. Alamin, et al.
Published: (2023)

Benchmarking Dimensionality Reduction Techniques for Spatial Transcriptomics
by: Mahmud, Md Ishtyaq, et al.
Published: (2025)

Identifying the Key Mitochondria‐Related Genes in COPD by Integrating Machine Learning and Bioinformatics Analyses
by: Jiajia Qu, et al.
Published: (2025)

Discovery Potential Hub Genes and Pathways in Keloid Fibroblast Development Based on Bioinformatics Analysis
by: Boao Zhao, et al.
Published: (2025)

Identification and Validation of the Key Genes of Diabetic Vasculopathy: Evidence Based on Bioinformatics Analysis and Animal Study
by: Feng Li, et al.
Published: (2025)

Machine Learning and Mendelian Randomization Identify Allergic Rhinitis as Nasopharyngeal Carcinoma Risk Factor With Validated Potential Candidate Biomarkers
by: Minqi Chen, et al.
Published: (2025)

From In Silico to In Vitro: A Comprehensive Guide to Validating Bioinformatics Findings
by: Wang, Tianyang, et al.
Published: (2025)

Hybridized Convolutional Neural Networks and Long Short-Term Memory for Improved Alzheimer's Disease Diagnosis from MRI Scans
by: Khatun, Maleka, et al.
Published: (2024)

Leveraging Gene Expression Data and Explainable Machine Learning for Enhanced Early Detection of Type 2 Diabetes
by: Roy, Aurora Lithe, et al.
Published: (2024)

Large Language Models in Bioinformatics: A Survey
by: Wang, Zhenyu, et al.
Published: (2025)

oxo-call: Documentation-grounded Skill Augmentation for Accurate Bioinformatics Command-line Generation with Large Language Models
by: Peng, Yun, et al.
Published: (2026)

A Linear Time Quantum Algorithm for Pairwise Sequence Alignment
by: Khan, Md. Rabiul Islam, et al.
Published: (2023)

MLSTL-WSN: Machine Learning-based Intrusion Detection using SMOTETomek in WSNs
by: Talukder, Md. Alamin, et al.
Published: (2024)

Development and characterization of near‐isogenic lines for quantitative trait locus qDT.3B.1 underlying drought tolerance in wheat
by: Joanne D. Caguiat, et al.
Published: (2026)

Exploring Prognostic Biomarkers in Lung Adenocarcinoma: Strategic Integration of Metabolic Subtyping and Ubiquitination Pathways
by: Yang Yang, et al.
Published: (2026)

Early PCOS Detection: A Comparative Analysis of Traditional and Ensemble Machine Learning Models With Advanced Feature Selection
by: Khandaker Mohammad Mohi Uddin, et al.
Published: (2025)

CausalGeD: Blending Causality and Diffusion for Spatial Gene Expression Generation
by: Sadia, Rabeya Tus, et al.
Published: (2025)

Genetic control of root architectural traits under drought stress in spring barley ( Hordeum vulgare L.)
by: Md. Nurealam Siddiqui, et al.
Published: (2024)

Fusing Sequence Motifs and Pan-Genomic Features: Antimicrobial Resistance Prediction using an Explainable Lightweight 1D CNN-XGBoost Ensemble
by: Siddiqui, Md. Saiful Bari, et al.
Published: (2025)

A Multiomics and Bioinformatics Analysis of the Role and Mechanism of CNKSR1 in Ovarian Cancer Progression
by: Weili Zhu, et al.
Published: (2026)

Exploring gene regulatory interaction networks and predicting therapeutic molecules for hypopharyngeal cancer and EGFR ‐mutated lung adenocarcinoma
by: Abanti Bhattacharjya, et al.
Published: (2024)

DNA Language Model and Interpretable Graph Neural Network Identify Genes and Pathways Involved in Rare Diseases
by: Saadat, Ali, et al.
Published: (2024)

Sequence decoding and analysis of the first reference mitogenome of globally threatened clown-knife fish, Chitala chitala: witness of codon usage bias and intense purifying selection.
by: Islam, Mohammad Nazrul, et al.
Published: (2026)

Identification of the hsa_circ_0001314‐Related ceRNA Network in Breast Cancer With Bioinformatics Analysis
by: Yuge Ma, et al.
Published: (2024)

A Bioinformatic Study of Genetics Involved in Determining Mild Traumatic Brain Injury Severity and Recovery
by: Tajik, Mahnaz, et al.
Published: (2025)

Future flooding tolerant rice germplasm: Resilience afforded beyond Sub1A gene
by: Mahender Anumalla, et al.
Published: (2025)

Personalized graph feature-based multi-omics data integration for cancer subtype identification
by: Islam, Saiful, et al.
Published: (2024)

MaterniCode: New Bioinformatic Pipeline to Detect Fetal Aneuploidies and Rearrangements Using Next‐Generation Sequencing
by: Federico Gabrielli, et al.
Published: (2024)

Integrative Pan-Cancer Analysis of RNMT: a Potential Prognostic and Immunological Biomarker
by: Huang, Shuqiang, et al.
Published: (2022)

Identifying topologically associating domains using differential kernels
by: Maisuradze, Luka, et al.
Published: (2023)

Enhancing prediction accuracy of key biomass partitioning traits in wheat using multi‐kernel genomic prediction models integrating secondary traits and environmental covariates
by: Sudip Kunwar, et al.
Published: (2025)

Enhancing genomic‐based forward prediction accuracy in wheat by integrating UAV‐derived hyperspectral and environmental data with machine learning under heat‐stressed environments
by: Jordan McBreen, et al.
Published: (2025)

An Evolutional Neural Network Framework for Classification of Microarray Data
by: Evari, Maryam Eshraghi, et al.
Published: (2024)