K. Ojala

发表

Systematic bioinformatic analysis of expression levels of 17,330 human genes across 9,783 samples from 175 types of healthy and pathological tissues

J. Astola, O. Kallioniemi, J. Mpindi, 2008, Genome Biology.

Array-based gene expression, CGH and tissue data defines a 12q24 gain in neuroblastic tumors with prognostic implication

M. Wolf, S. Mousses, A. Kallioniemi, 2010, BMC Cancer.

Classification of unknown primary tumors with a data-driven method based on a large microarray reference database

O. Kallioniemi, S. Kilpinen, K. Ojala, 2011, Genome Medicine.

Analysis of Kinase Gene Expression Patterns across 5681 Human Tissue Samples Reveals Functional Genomic Taxonomy of the Kinome

O. Kallioniemi, S. Kilpinen, K. Ojala, 2010, PloS one.

Identification of proprotein convertase substrates using genome-wide expression correlation analysis

V. Hytönen, M. Pesu, K. Ojala, 2011, BMC Genomics.

Alignment of gene expression profiles from test samples against a reference database: New method for context-specific interpretation of microarray data

Sami Kilpinen, Kalle A. Ojala, Olli-P. Kallioniemi, 2011, BioData Mining.

GTI: A Novel Algorithm for Identifying Outlier Gene Expression Profiles from Integrated Microarray Datasets

Sami Kilpinen, Pekka Kohonen, Kristiina Iljin, 2011, PloS one.

Correction: GTI: A Novel Algorithm for Identifying Outlier Gene Expression Profiles from Integrated Microarray Datasets

O. Kallioniemi, J. Mpindi, Elmar Bucher, 2011, PLoS ONE.

PDE3A Is a Highly Expressed Therapy Target in Myxoid Liposarcoma

H. Sihto, K. Ojala, Kirsi-Marja Toivanen, 2023, Cancers.