Network-Based and Machine-Learning Approaches Identify Diagnostic and Prognostic Models for EMT-Type Gastric Tumors.
Saved in:
| Title: | Network-Based and Machine-Learning Approaches Identify Diagnostic and Prognostic Models for EMT-Type Gastric Tumors. |
|---|---|
| Authors: | Sadeghi M; Department of Cell & Molecular Biology, Semnan University, Semnan 3513119111, Iran., Karimi MR; Department of Cell & Molecular Biology, Semnan University, Semnan 3513119111, Iran., Karimi AH; Department of Cell & Molecular Biology, Semnan University, Semnan 3513119111, Iran., Ghorbanpour Farshbaf N; Research Institute for Fundamental Science, University of Tabriz, Tabriz 5166616471, Iran., Barzegar A; Department of Biology, Faculty of Natural Science, University of Tabriz, Tabriz 5166616471, Iran., Schmitz U; Department of Molecular & Cell Biology, James Cook University, Townsville, QLD 4811, Australia.; Centre for Tropical Bioinformatics and Molecular Biology, Australian Institute of Tropical Health and Medicine, James Cook University, Cairns, QLD 4878, Australia. |
| Source: | Genes [Genes (Basel)] 2023 Mar 19; Vol. 14 (3). Date of Electronic Publication: 2023 Mar 19. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: MDPI Country of Publication: Switzerland NLM ID: 101551097 Publication Model: Electronic Cited Medium: Internet ISSN: 2073-4425 (Electronic) Linking ISSN: 20734425 NLM ISO Abbreviation: Genes (Basel) Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 2073-4425 |
|---|---|
| DOI: | 10.3390/genes14030750 |
