Author
KLE Academy of Higher Education and ResearchORCID 0000-0003-2202-7637Unclaimed ORCID profile · follow to get notified of new preprints
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45 papers
Recent·Most cited
Basavaraj Mallikarjunayya Vastrad, Chanabasayya Mallikarjunayya Vastrad
This study identifies differentially expressed genes and hub genes in type 1 diabetes mellitus using bioinformatics analysis and validates their association with the disease.
Basavaraj Mallikarjunayya Vastrad, Chanabasayya Mallikarjunayya Vastrad
This study identifies differentially expressed genes and hub genes in Alzheimer's disease using bioinformatics analysis and validates their diagnostic potential through ROC curves.
Varun Chandra Alur, Varshita Raju, Basavaraj Mallikarjunayya Vastrad…·Shivakumar Kotrashetti
This study identifies key biomarkers and potential drug candidates for gestational diabetes mellitus through transcriptomic analysis and molecular docking.
Basavaraj Mallikarjunayya Vastrad, Chanabasayya Mallikarjunayya Vastrad
This study identifies key genes and pathways associated with dementia using integrated bioinformatics analysis of a high-throughput sequencing dataset.
Basavaraj Mallikarjunayya Vastrad, Chanabasayya Mallikarjunayya Vastrad
This study identifies 925 differentially expressed genes in T2DM using bioinformatics analysis and highlights 10 hub genes as potential biomarkers and therapeutic targets.
Vikrant Ghatnatti, Basavaraj Mallikarjunayya Vastrad, Swetha Patil…·Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karanataka, India
The paper identifies candidate genes and signaling pathways in pituitary prolactinoma using bioinformatics analysis of transcriptome data.
Basavaraj Mallikarjunayya Vastrad, Anandkumar Tengli, Chanabasayya Mallikarjunayya Vastrad, Iranna Kotturshetti
The paper identifies key genes and pathways in obesity-associated type 2 diabetes through bioinformatics analysis, proposing them as diagnostic markers and therapeutic targets.
Praveenkumar Devarbhavi, Basavaraj Mallikarjunayya Vastrad, Anandkumar Tengli…·Iranna Kotturshetti
This study identifies key genes and pathways in neuroendocrine tumors using bioinformatics analysis and validates potential drug targets through molecular docking and experimental validation.
Basavaraj Mallikarjunayya Vastrad, Chanabasayya Mallikarjunayya Vastrad, Iranna Kotturshetti
This study identifies potential core genes in hepatoblastoma using bioinformatics analysis of microarray data, revealing key genes involved in carcinogenesis and progression.
Basavaraj Mallikarjunayya Vastrad, Chanabasayya Mallikarjunayya Vastrad, Iranna Kotturshetti
The paper identifies differentially expressed genes and pathways in glioblastoma multiform using genomic data and validates hub genes for potential biomarkers.
Basavaraj Mallikarjunayya Vastrad, Chanabasayya Mallikarjunayya Vastrad, Iranna Kotturshetti
This study identifies potential biomarkers for triple receptor negative breast cancer using microarray analysis and bioinformatics tools.
Basavaraj Mallikarjunayya Vastrad, Chanabasayya Mallikarjunayya Vastrad, Iranna Kotturshetti
This study identifies 10 hub genes associated with ccRCC tumorigenesis and prognosis through bioinformatics analysis of gene expression data.
Basavaraj Mallikarjunayya Vastrad, Chanabasayya Mallikarjunayya Vastrad, Iranna Kotturshetti
The paper identifies key genes and pathways associated with sporadic Creutzfeldt-Jakob disease using bioinformatics analyses of gene expression data.
Basavaraj Mallikarjunayya Vastrad, Chanabasayya Mallikarjunayya Vastrad, Anandkumar Tengli
The paper identifies differentially expressed genes in PDAC and validates hub genes as potential biomarkers and therapeutic targets through bioinformatics and molecular docking.
Basavaraj Mallikarjunayya Vastrad, Chanabasayya Mallikarjunayya Vastrad
This study identifies hub genes in gastric cancer using bioinformatics analysis of microarray and RNA-seq data, finding 10 genes associated with GC pathogenesis.