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Research and Reviews : Journal of Computational Biology Cover

Research and Reviews : Journal of Computational Biology

E-ISSN: 2319-3433 | P-ISSN: 2349-3720 | Peer-Reviewed Journal (Refereed Journal) | Hybrid Open Access

Current Issue

Regular Issue  Subscription Original Research Published on :- 27/07/2026
A Factorial Investigation of Hyperparameter Tuning Strategies for Lasso- Based Genomic Prediction

Vaibhav Godase
Keywords: genomic selection; Lasso regression; hyper parameter tuning; nested cross- validation; factorial experiment; wheat; computational genomics

42-51
Regular Issue  Open Access Original Research Published on :- 11/09/2026
Unveiling Actionable Pathogenic Genes for Precision Oncology in Brain Cancers: Glioblastoma and Astrocytoma

Amrutha R. Kenche, Sasivarman Selvam, Sailee Prakash Hingane, Deepthi Pilli, Taiba Shamim, Aarya Senan T. S, Palak Vyas, Sanika Durgavali
Keywords: Glioblastoma, astrocytoma, somatic mutations, EGFR, TP53, IDH1, ATRX, precision oncology, targeted therapy, molecular stratification

43-59
Regular Issue  Subscription Original Research Published on :- 10/08/2026
A Smart Framework that Combines Data Mining and Optimization for Different Applications

Vanya Mishra
Keywords: Metaheuristics, Predictive Data Mining, Cross-Domain Optimization, Adaptive Frameworks, Human Uncertainty.

10-14
Regular Issue  Subscription Original Research Published on :- 20/08/2026
Comparative Evaluation of Pedigree-Based and Genomic BLUP Models for Wheat Grain Yield Prediction

Swapnil R. Takale
Keywords: Genomic selection, GBLUP, pedigree, kernel ridge regression, VanRaden relationship matrix, wheat; grain yield, computational genomics

1-9
Regular Issue  Subscription Review Article Published on :- 26/07/2026
Neuro-Symbolic Agentic AI for Autonomous Scientific Discovery: Integrating Deep Reinforcement Learning, Quantum Simulation, and XAI-Audited LLM Hypothesis Generation in Drug Target Identification

Rishabh Kumar, Anandu S, Aman Kumar Jha
Keywords: neuro-symbolic AI, drug target identification, deep reinforcement learning, quantum simulation, explainable AI, LLM hypothesis generation, knowledge graph, protein conformational dynamics, SHAP attribution, autonomous scientific discovery.

15-24
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