S. Pirmoradi

发表

Machine learning as new promising technique for selection of significant features in obese women with type 2 diabetes

M. Teshnehlab, R. Sheervalilou, N. Zarghami, 2020, Hormone molecular biology and clinical investigation.

Panels of mRNAs and miRNAs for decoding molecular mechanisms of Renal Cell Carcinoma (RCC) subtypes utilizing Artificial Intelligence approaches

M. Teshnehlab, S. M. Hosseiniyan Khatibi, S. Vahed, 2022, Scientific Reports.

A diagnostic miRNA panel to detect recurrence of ovarian cancer through artificial intelligence approaches

M. Teshnehlab, M. Bastami, S. Zununi Vahed, 2022, Journal of Cancer Research and Clinical Oncology.

TGF-β and IL-23 gene expression in unstimulated PBMCs of patients with diabetes

B. Larijani, F. Sayahpour, M. Amoli, 2012, Endocrine.

Amyloid fibril formation by native and modified bovine β-lactoglobulins proceeds through unfolded form of proteins: a comparative study.

Seyyed Abolghasem Ghadami, R. Khodarahmi, S. Ghobadi, 2011, Biophysical chemistry.

Key therapeutic targets implicated at the early stage of hepatocellular carcinoma identified through machine-learning approaches

M. Teshnehlab, S. Zununi Vahed, S. M. Hosseiniyan Khatibi, 2023, Scientific Reports.

A self-organizing deep neuro-fuzzy system approach for classification of kidney cancer subtypes using miRNA genomics data

Mohammad Teshnehlab, Arash Sharifi, Saeed Pirmoradi, 2021, Comput. Methods Programs Biomed..

A Self-organizing Deep Auto-Encoder approach for Classification of Complex Diseases using SNP Genomics Data

Mohammad Teshnehlab, Arash Sharifi, Saeed Pirmoradi, 2020, Appl. Soft Comput..

Genetic Meta-Analysis of Expression and Signaling Pathways and Analysis of Interaction Networks of Some Genes with Different Expression from The Results of Several Microwave Studies in Patients with Autism Using R Software

S. Pirmoradi, 2023 .

Decoding the Possible Molecular Mechanisms in Pediatric Wilms Tumor and Rhabdoid Tumor of the Kidney through Machine Learning Approaches

M. Teshnehlab, Simin Sharifi, S. Zununi Vahed, 2023, Fetal and pediatric pathology.

Unraveling the link between PTBP1 and severe asthma through machine learning and association rule mining method

E. Seyedrezazadeh, S. Zununi Vahed, A. Khamaneh, 2023, Scientific reports.

The Self-Organizing Restricted Boltzmann Machine for Deep Representation with the Application on Classification Problems

Mohammad Teshnehlab, Arash Sharifi, Saeed Pirmoradi, 2020, Expert Syst. Appl..