Results 111 to 120 of about 1,192,191 (268)
PATTERN MATCHING MACHINES FOR REPLACING SEVERAL CHARACTER STRINGS [PDF]
Setsuo Arikawa, Shuji Shiraishi
openalex +1 more source
This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan +9 more
wiley +1 more source
Computer matching of oligonucleotide patterns on electrophoretic gels: an application to the epidemiology of cytomegalovirus [PDF]
A. E. Ades +4 more
openalex +1 more source
A‐to‐I editing of miRNAs, particularly miR‐200b‐3p, contributes to HGSOC progression by enhancing cancer cell proliferation, migration and 3D growth. The edited form is linked to poorer patient survival and the identification of novel molecular targets.
Magdalena Niemira +14 more
wiley +1 more source
An efficient implemenatation of string pattern matching machines for a finite number of keywords [PDF]
J. Aoe
openalex +1 more source
Emerging role of ARHGAP29 in melanoma cell phenotype switching
This study gives first insights into the role of ARHGAP29 in malignant melanoma. ARHGAP29 was revealed to be connected to tumor cell plasticity, promoting a mesenchymal‐like, invasive phenotype and driving tumor progression. Further, it modulates cell spreading by influencing RhoA/ROCK signaling and affects SMAD2 activity. Rho GTPase‐activating protein
Beatrice Charlotte Tröster +3 more
wiley +1 more source
Regular inspections of important civil infrastructures are mandatory to ensure structural safety and reliability. Until today, these inspections are primarily conducted manually, which has several deficiencies.
Alexander Lange +4 more
doaj +1 more source
Disentangling Abstraction from Statistical Pattern Matching in Human and Machine Learning. [PDF]
Kumar S +4 more
europepmc +1 more source
Forensic Textile Fibre Matching by Multiresolution Planning and Colour Space Pattern Recognition [PDF]
G. J. McEwen, A.J. Wilkinson
openalex +1 more source
A bioinformatics screen identifies TCF19 as an aggressiveness‐sustaining gene in prostate cancer
Gene expression meta‐analysis in multiple prostate cancer patient cohorts identifies Transcription factor 19 (TCF19) as an aggressiveness‐sustaining gene with prognostic potential. TCF19 is a gene repressed by androgen signaling that sustains core cancer‐related processes such as vascular permeability or tumor growth and metastasis.
Amaia Ercilla +15 more
wiley +1 more source

