Results 151 to 160 of about 3,006,553 (325)

Detecting homologous recombination deficiency for breast cancer through integrative analysis of genomic data

open access: yesMolecular Oncology, EarlyView.
This study develops a semi‐supervised classifier integrating multi‐genomic data (1404 training/5893 validation samples) to improve homologous recombination deficiency (HRD) detection in breast cancer. Our method demonstrates prognostic value and predicts chemotherapy/PARP inhibitor sensitivity in HRD+ tumours.
Rong Zhu   +12 more
wiley   +1 more source

Evaluation of KRAS and NRAS mutations in metastatic colorectal cancer: an 8‐year study of 10 754 patients in Turkey

open access: yesMolecular Oncology, EarlyView.
This nationwide study evaluated KRAS and NRAS mutations in 10 754 Turkish patients with metastatic colorectal cancer. The results revealed a mutation frequency of 51.1%, with 46.6% having KRAS mutations, 4.5% having NRAS mutations, and 48.5% being wild‐type for both.
Gozde Kavgaci   +6 more
wiley   +1 more source

Genetic Analysis and Fine Mapping of QTL for the Erect Leaf in Mutant mths29 Induced through Fast Neutron in Wheat

open access: yesBiology
The erect leaf plays a crucial role in determining plant architecture, with its growth and development regulated by genetic factors. However, there has been a lack of comprehensive studies on the regulatory mechanisms governing wheat lamina joint ...
Zhixin Yang   +14 more
doaj   +1 more source

Landscape of BRAF transcript variants in human cancer

open access: yesMolecular Oncology, EarlyView.
We investigate the annotation of BRAF variants, focusing on protein‐coding BRAF‐220 (formerly BRAF‐reference) and BRAF‐204 (BRAF‐X1). The IsoWorm pipeline allows us to quantify these variants in human cancer, starting from RNA‐sequencing data. BRAF‐204 is more abundant than BRAF‐220 and impacts patient survival.
Maurizio S. Podda   +5 more
wiley   +1 more source

Scalable identification of lineage-specific gene regulatory networks from metacells with NetID

open access: yesGenome Biology
The identification of gene regulatory networks (GRNs) is crucial for understanding cellular differentiation. Single-cell RNA sequencing data encode gene-level covariations at high resolution, yet data sparsity and high dimensionality hamper accurate and ...
Weixu Wang   +3 more
doaj   +1 more source

Data‐driven discovery of gene expression markers distinguishing pediatric acute lymphoblastic leukemia subtypes

open access: yesMolecular Oncology, EarlyView.
This study investigates gene expression differences between two major pediatric acute lymphoblastic leukemia (ALL) subtypes, B‐cell precursor ALL, and T‐cell ALL, using a data‐driven approach consisting of biostatistics and machine learning methods. Following analysis of a discovery dataset, we find a set of 14 expression markers differentiating the ...
Mona Nourbakhsh   +8 more
wiley   +1 more source

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