Seppo Parkkila

The paper investigates how hypoxia and acidosis influence myeloid cell responses in glioblastoma, revealing distinct metabolic adaptations in macrophages versus microglia.

TFBSFootprinter predicts transcription factor binding sites across 124 vertebrate species using multiomic data, outperforming existing tools in accuracy.

The paper identifies regulatory differences between modern human and Neanderthal promoters, highlighting transcription factors and genes associated with brain development and neuropsychiatric disorders.

The paper develops ML-QSAR models and knowledge-driven neural networks to predict bioactivity of chalcone derivatives against disease targets and identify key molecular mechanisms.

This paper uses bioinformatics to characterize ACE2 expression and regulation, finding higher expression in small intestine and specific cell types in trachea and lung.