Results 191 to 200 of about 2,759,833 (308)

Detection of circulating tumor DNA in colorectal cancer patients using a methylation‐specific droplet digital PCR multiplex

Molecular Oncology, EarlyView.
We developed a cost‐effective methylation‐specific droplet digital PCR multiplex assay containing tissue‐conserved and tumor‐specific methylation markers. The assay can detect circulating tumor DNA with high accuracy in patients with localized and metastatic colorectal cancer.
Luisa Matos do Canto, Louise Raunkilde, Jan Lindebjerg, Mads Malik Aagaard, Christina Therkildsen, Jakob Kleif, Lars Henrik Jensen, Torben Frøstrup Hansen, Rikke Fredslund Andersen   +8 more
wiley   +1 more source

Correction: Multi-stage feature selection (MSFS) algorithm for UWB-based early breast cancer size prediction

, 2021
V. Vijayasarveswari, Allan Melvin Andrew, Muzammil Jusoh, Rehan Ahmad, Thennarasan Sabapathy, Rafikha Aliana A. Raof, Mohd Najib Mohd Yasin, Sabira Khatun, Hasliza A. Rahim   +8 more
openalex   +2 more sources

Perspectives in educating molecular pathologists on liquid biopsy: Toward integrative, equitable, and decentralized precision oncology

Molecular Oncology, EarlyView.
Liquid biopsy enables minimally invasive, real‐time molecular profiling through analysis of circulating biomarkers in biological fluids. This Perspective highlights the importance of training pathologists through integrative educational programs, such as the European Masters in Molecular Pathology, to ensure effective and equitable implementation of ...
Marius Ilié, Umberto Malapelle, Catherine Alix‐Panabières, Claus Lindbjerg Andersen, Sandra Chlebowski, Vivien Lake, Caroline Lacoux, Virginie Lespinet‐Fabre, Olivier Bordone, Simon Heeke, Christophe Bontoux, Ellen Heitzer, Klaus Pantel, Paul Hofman   +13 more
wiley   +1 more source

Multi-Omics Feature Selection to Identify Biomarkers for Hepatocellular Carcinoma. [PDF]

Metabolites
Varghese RS, Zhang X, Giridharan S, Sajid MS, Rashid MM, Kroemer A, Ressom HW.   +6 more
europepmc   +1 more source

Significance of Hybrid Feature Selection Technique for Intrusion Detection Systems

, 2017
vaishali Chahar, Rita Chhikara, Yogita Gigras, Latika Singh   +3 more
openalex   +2 more sources

Top-k Supervise Feature Selection via ADMM for Integer Programming [PDF]

, 2017
Mingyu Fan, Xiaojun Chang, Xiaoqin Zhang, Di Wang, Liang Du   +4 more
openalex   +1 more source

Transcriptional network analysis of PTEN‐protein‐deficient prostate tumors reveals robust stromal reprogramming and signs of senescent paracrine communication

Molecular Oncology, EarlyView.
Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice, Jose I. Lopez, Aitziber Ugalde‐Olano, Maite Zufiaurre, Ianire Astobiza, Natalia Martin‐Martin, Laura Bozal‐Basterra, Saioa Garcia‐Longarte, Amaia Zabala‐Letona, Sofia Rey, Aida Santos‐Martin, Miguel Unda, Ana Loizaga‐Iriarte, Mariona Graupera, Paolo Nuciforo, Arkaitz Carracedo, Isabel Mendizabal   +16 more
wiley   +1 more source

Feature Selection for Multi-label Learning: A Systematic Literature Review and Some Experimental Evaluations [PDF]

, 2015
Newton Spolaôr, Huei Lee, Weber Shoity Resende Takaki, Feng Chung Wu   +3 more
openalex   +1 more source

Next‐generation proteomics improves lung cancer risk prediction

Molecular Oncology, EarlyView.
This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj, Clara Frick, Ben Schöttker, Bernd Holleczek, Hermann Brenner   +4 more
wiley   +1 more source

Dynamic graph-based quantum feature selection for accurate fetal plane classification in ultrasound imaging. [PDF]

Sci Rep
Priyadharshni S, Ravi V.
europepmc   +1 more source