Results 81 to 90 of about 11,201,470 (335)

Clinical Characteristics and Prognostic Risk Factors for Pediatric B‐Cell Lymphoblastic Lymphoma: A Multicenter Retrospective Cohort Study for China Net Childhood Lymphoma

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background B‐cell lymphoblastic lymphoma (B‐LBL) represents a rare variety of non‐Hodgkin lymphoma, with limited research on its biology, progression, and management. Methods A retrospective analysis was performed on the clinical characteristics of 256 patients aged ≤18 years who received treatment under the China Net Childhood Lymphoma (CNCL)‐
Zhijuan Liu   +20 more
wiley   +1 more source

Use of signals of positive and negative selection to distinguish cancer genes and passenger genes

open access: yeseLife, 2021
A major goal of cancer genomics is to identify all genes that play critical roles in carcinogenesis. Most approaches focused on genes positively selected for mutations that drive carcinogenesis and neglected the role of negative selection.
László Bányai   +4 more
doaj   +1 more source

Noise in Genotype Selection Model

open access: yes, 2003
We study the steady state properties of a genotype selection model in presence of correlated Gaussian white noise. The effect of the noise on the genotype selection model is discussed.
Ai, Bao-Quan   +5 more
core   +1 more source

Incorporation of aptamers in the terminal loop of shRNAs yields an effective and novel combinatorial targeting strategy. [PDF]

open access: yes, 2017
Gene therapy by engineering patient's own blood cells to confer HIV resistance can potentially lead to a functional cure for AIDS. Toward this goal, we have previously developed an anti-HIV lentivirus vector that deploys a combination of shRNA, ribozyme ...
Castanotto, Daniela   +4 more
core   +1 more source

Weighted General Group Lasso for Gene Selection in Cancer Classification

open access: yesIEEE Transactions on Cybernetics, 2019
Relevant gene selection is crucial for analyzing cancer gene expression datasets including two types of tumors in cancer classification. Intrinsic interactions among selected genes cannot be fully identified by most existing gene selection methods.
Yadi Wang, Xiaoping Li, Rubén Ruiz
semanticscholar   +1 more source

Revealing the structure of land plant photosystem II: the journey from negative‐stain EM to cryo‐EM

open access: yesFEBS Letters, EarlyView.
Advances in cryo‐EM have revealed the detailed structure of Photosystem II, a key protein complex driving photosynthesis. This review traces the journey from early low‐resolution images to high‐resolution models, highlighting how these discoveries deepen our understanding of light harvesting and energy conversion in plants.
Roman Kouřil
wiley   +1 more source

Biomarker Gene Signature Discovery Integrating Network Knowledge

open access: yesBiology, 2012
Discovery of prognostic and diagnostic biomarker gene signatures for diseases, such as cancer, is seen as a major step towards a better personalized medicine.
Holger Fröhlich, Yupeng Cun
doaj   +1 more source

Exploiting the accumulated evidence for gene selection in microarray gene expression data [PDF]

open access: yes, 2013
Machine Learning methods have of late made signicant efforts to solving multidisciplinary problems in the field of cancer classification using microarray gene expression data.
Belanche Muñoz, Luis Antonio   +1 more
core   +1 more source

Selection-Driven Gene Inactivation in Salmonella [PDF]

open access: yesGenome Biology and Evolution, 2020
AbstractBacterial genes are sometimes found to be inactivated by mutation. This inactivation may be observable simply because selection for function is intermittent or too weak to eliminate inactive alleles quickly. Here, I investigate cases in Salmonella enterica where inactivation is instead positively selected.
openaire   +2 more sources

Mapping the evolution of mitochondrial complex I through structural variation

open access: yesFEBS Letters, EarlyView.
Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin   +2 more
wiley   +1 more source

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