Tero
Aittokallio
dosentti, matemaattis-luonnontieteellinen tiedekunta
InFLAMES Lippulaiva
PhD
Linkit
Julkaisut
Phosphoproteomics Combined with Quantitative 14-3-3-affinity Capture Identifies SIRT1 and RAI as Novel Regulators of Cytosolic Double-stranded RNA Recognition Pathway (2014)
Molecular and Cellular Proteomics
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
Stroma- Derived Factors Significantly Impact the Drug Response Profiles of Patient- Derived Primary AML Cells: Implications for Drug Sensitivity Testing (2014)
Blood
(O2 Muu julkaisu )
A two-step learning approach for solving full and almost full cold start problems in dyadic prediction (2014)
The European Conferences on Machine Learning (ECML) and on Principles and Practice of Knowledge Discovery in Data Bases (PKDD), Lecture Notes in Computer Science
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))
Analysis of clonal evolution of leukemia in vivo following novel targeted treatments (2014)
Cancer Research
(O2 Muu julkaisu )
Novel Targeted Therapies for Granulosa Cell Tumors Using High-Throughput Drug Screen of Primary Tumor Cells (2014)
Reproductive Sciences
(O2 Muu julkaisu )
Novel Lignan and Stilbenoid Mixture Shows Anticarcinogenic Efficacy in Preclinical PC-3M-luc2 Prostate Cancer Model (2014)
PLoS ONE
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
A community effort to assess and improve drug sensitivity prediction algorithms (2014)
Nature Biotechnology
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
Network Pharmacology Strategies Toward Multi-Target Anticancer Therapies: From Computational Models to Experimental Design Principles (2014)
Current Pharmaceutical Design
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
Systematic high-throughput drug sensitivity and resistance testing (DSRT) of ovarian cancer cell lines indicates novel therapeutic possibilities with existing and emerging drugs (2014)
Cancer Research
(O2 Muu julkaisu )
Statistical detection of quantitative protein biomarkers provides insights into signaling networks deregulated in acute myeloid leukemia (2014)
Proteomics
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))