Results 151 to 160 of about 12,864,433 (337)
An Analysis of Plant Diseases Identification Based on Deep Learning Methods. [PDF]
Gong X, Zhang S.
europepmc +1 more source
Botrytis and Sclerotinia: Their Relation to Certain Plant Diseases and to Each Other
Ralph E. Smith
openalex +2 more sources
Breast cancer metastasis is associated with myeloid cell dysregulation and the lung‐specific accumulation of tumor‐supportive Gr1+ cells. Gr1+ cells support metastasis, in part, through a CHI3L1‐mediated mechanism, which can be targeted and inhibited with cargo‐free, polymeric nanoparticles.
Jeffrey A. Ma+9 more
wiley +1 more source
The objective of this systematic review (SR) was to select studies on the use of gene editing by CRISPR technology related to plant resistance to biotic stresses.
Marcelly Santana Mascarenhas+9 more
doaj +1 more source
TrIncNet: a lightweight vision transformer network for identification of plant diseases. [PDF]
Gole P+4 more
europepmc +1 more source
A brief handbook of the diseases of cultivated plants in Ohio
A. D. Selby
openalex +2 more sources
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
Landscape of BRAF transcript variants in human cancer
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