Results 211 to 220 of about 1,655,249 (351)

DETECTING THE FAULT FROM SPECTROGRAMS BY USING GENETIC ALGORITHM TECHNIQUES [PDF]

open access: bronze, 2007
A. E. Amin   +3 more
openalex   +1 more source

High LRIG1 expression predicts lymph node metastasis in patients with uterine cervical cancer

open access: yesFEBS Open Bio, EarlyView.
Lymph node status is crucial in determining treatment for women with early‐stage cervical cancer. We demonstrate that high LRIG1 protein expression in primary tumors can predict lymph node metastases. Our findings support further investigation of LRIG1 as a biomarker to improve staging accuracy and guide treatment decisions in cervical cancer patients.
Pernilla Israelsson   +5 more
wiley   +1 more source

Selection–subtraction approach (SSA): A universal genetic screening technique that enables negative selection

open access: green, 2004
Aatur D. Singhi   +4 more
openalex   +1 more source

Teaching Python with team‐based learning: using cloud‐based notebooks for interactive coding education

open access: yesFEBS Open Bio, EarlyView.
This study presents a novel approach to teaching Python and bioinformatics using team‐based learning and cloud‐hosted notebooks. By integrating interactive coding into biomedical education, the method improves accessibility, student engagement, and confidence—especially for those without a computing background.
Nuno S. Osório, Leonardo D. Garma
wiley   +1 more source

Most autophagic cell death studies lack evidence of causality

open access: yesFEBS Open Bio, EarlyView.
Of 104 studies claiming autophagic cell death (ACD), only 13 demonstrated both causality and exclusion of apoptosis to confirm true ACD. Most studies relied on correlation‐level data or measured autophagy in isolation, revealing pervasive methodological shortcomings.
Ali Burak Özkaya, Yasmin Ghaseminejad
wiley   +1 more source

Beyond p‐values: Assessing clinical significance in acupuncture research

open access: yesAdvanced Chinese Medicine, EarlyView.
Abstract In acupuncture randomized controlled trials (RCTs), the proper interpretation of results requires a thorough understanding of key statistical concepts such as p‐value, effect size, and the minimal clinically important difference (MCID). This paper explores the relationships among these metrics and their implications for assessing the clinical ...
Changzhen Gong
wiley   +1 more source

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