Results 91 to 100 of about 525,724 (267)

Effect of chemotherapy on passenger mutations in metastatic colorectal cancer

Molecular Oncology, EarlyView.
Changes in passenger mutation load and predicted immunotherapy response after chemotherapy treatment. Tumor cells rich with passenger mutations have increased sensitivity to chemotherapy. Correlation of passenger mutations with neoantigen load suggests highly mutated clones promote a more effective response to immunotherapy, and therefore, first‐line ...
Marium T. Siddiqui, Matthew A. Cottam, Muhammad Bilal Mirza, Keeli B. Lewis, Kristen K. Ciombor, Mary Kay Washington, Kamran Idrees   +6 more
wiley   +1 more source

An outlook: machine learning in hyperspectral image classification and dimensionality reduction techniques [PDF]

, 2022
Tatireddy Subba Reddy, Jonnadula Harikiran   +1 more
openalex   +1 more source

Cis‐regulatory and long noncoding RNA alterations in breast cancer – current insights, biomarker utility, and the critical need for functional validation

Molecular Oncology, EarlyView.
The noncoding region of the genome plays a key role in regulating gene expression, and mutations within these regions are capable of altering it. Researchers have identified multiple functional noncoding mutations associated with increased cancer risk in the genome of breast cancer patients.
Arnau Cuy Saqués, Aracele Martinez‐Mendez, John Crown, Alex Eustace   +3 more
wiley   +1 more source

Methylation biomarkers can distinguish pleural mesothelioma from healthy pleura and other pleural pathologies

Molecular Oncology, EarlyView.
We developed and validated a DNA methylation–based biomarker panel to distinguish pleural mesothelioma from other pleural conditions. Using the IMPRESS technology, we translated this panel into a clinically applicable assay. The resulting two classifier models demonstrated excellent performance, achieving high AUC values and strong diagnostic accuracy.
Janah Vandenhoeck, Nele De Meulenaere, Thomas Vanpoucke, Joe Ibrahim, Dieter Peeters, Suresh Krishan Yogeswaran, Wen Wen, Paul Van Schil, Jeroen M. H. Hendriks, Jo Raskin, Jan van Meerbeeck, Guy Van Camp, Ken Op de Beeck   +12 more
wiley   +1 more source

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

Multi-Scale Feature Fusion Network with Symmetric Attention for Land Cover Classification Using SAR and Optical Images [PDF]

Dongdong Xu, Zheng Li, Hao Feng, Fanlu Wu, Yongcheng Wang   +4 more
openalex   +1 more source

A Social Network Image Classification Algorithm Based on Multimodal Deep Learning

, 2020
Junwei Bai, Cheng Chi
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

Semi‐supervised domain adaptation via subspace exploration

IET Computer Vision
Recent methods of learning latent representations in Domain Adaptation (DA) often entangle the learning of features and exploration of latent space into a unified process.
Zheng Han, Xiaobin Zhu, Chun Yang, Zhiyu Fang, Jingyan Qin, Xucheng Yin   +5 more
doaj   +1 more source

2D-CNN Architecture for Accurate Classification of COVID-19 Related Pneumonia on X-Ray Images [PDF]

Nurlan Dzhaynakbaev, Nurgul Kurmanbekkyzy, А.С. Баймаханова, Iyungul Mussatayeva   +3 more
openalex   +1 more source