Dimitris Anastassiou
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Explore the profile of Dimitris Anastassiou including associated specialties, affiliations and a list of published articles.
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42
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Recent Articles
1.
Salcedo A, Tarabichi M, Buchanan A, Espiritu S, Zhang H, Zhu K, et al.
Nat Biotechnol
. 2024 Jun;
PMID: 38862616
Subclonal reconstruction algorithms use bulk DNA sequencing data to quantify parameters of tumor evolution, allowing an assessment of how cancers initiate, progress and respond to selective pressures. We launched the...
2.
Cai L, Anastassiou D
Bioinformatics
. 2024 Apr;
40(5).
PMID: 38662553
Summary: Existing clustering methods for characterizing cell populations from single-cell RNA sequencing are constrained by several limitations stemming from the fact that clusters often cannot be homogeneous, particularly for transitioning...
3.
Cai L, Kolonin M, Anastassiou D
Cancer Metastasis Rev
. 2024 Mar;
43(3):977-980.
PMID: 38466528
We identified a progenitor cell population highly enriched in samples from invasive and chemo-resistant carcinomas, characterized by a well-defined multigene signature including APOD, DCN, and LUM. This cell population has...
4.
Kolonin M, Anastassiou D
Cancer Res
. 2024 Mar;
84(5):648-649.
PMID: 38437636
Cancer aggressiveness has been linked with obesity, and studies have shown that adipose tissue can enhance cancer progression. In this issue of Cancer Research, Hosni and colleagues discover a paracrine...
5.
Zhu K, Cai L, Cui C, de Los Toyos J, Anastassiou D
PLoS Comput Biol
. 2021 Jul;
17(7):e1009228.
PMID: 34283835
During the last ten years, many research results have been referring to a particular type of cancer-associated fibroblasts associated with poor prognosis, invasiveness, metastasis and resistance to therapy in multiple...
6.
Wang G, Anastassiou D
Sci Rep
. 2020 Oct;
10(1):17199.
PMID: 33057153
Analysis of large gene expression datasets from biopsies of cancer patients can identify co-expression signatures representing particular biomolecular events in cancer. Some of these signatures involve genomically co-localized genes resulting...
7.
Zhu K, Anastassiou D
Bioinformatics
. 2020 Feb;
36(11):3588-3589.
PMID: 32108864
Summary: We developed 2DImpute, an imputation method for correcting false zeros (known as dropouts) in single-cell RNA-sequencing (scRNA-seq) data. It features preventing excessive correction by predicting the false zeros and...
8.
Ogundijo O, Zhu K, Wang X, Anastassiou D
IEEE/ACM Trans Comput Biol Bioinform
. 2020 Feb;
18(6):2271-2280.
PMID: 32070995
Bulk samples of the same patient are heterogeneous in nature, comprising of different subpopulations (subclones) of cancer cells. Cells in a tumor subclone are characterized by unique mutational genotype profile....
9.
Salcedo A, Tarabichi M, Espiritu S, Deshwar A, David M, Wilson N, et al.
Nat Biotechnol
. 2020 Jan;
38(1):97-107.
PMID: 31919445
Tumor DNA sequencing data can be interpreted by computational methods that analyze genomic heterogeneity to infer evolutionary dynamics. A growing number of studies have used these approaches to link cancer...
10.
Thorsson V, Gibbs D, Brown S, Wolf D, Bortone D, Yang T, et al.
Immunity
. 2019 Aug;
51(2):411-412.
PMID: 31433971
No abstract available.