Results 51 to 60 of about 5,522,894 (323)
Infection Models for Pine Wilt Disease on the Basis of Vector Behaviors
Infection models for pine wilt disease without vector density were built to estimate the transmission coefficient of the pathogenic nematode. The models successfully simulated the annual change in the density of infected trees for four pine stands. ABSTRACT Pine wilt disease is caused by the pinewood nematode (Bursaphelenchus xylophilus Steiner et ...
Katsumi Togashi
wiley +1 more source
ScRNAPip: A systematic and dynamic pipeline for single‐cell RNA sequencing analysis
With the advancement of sequencing technology, cell separation, and whole‐genome amplification techniques, single cell technology for genome sequencing is emerging gradually.
Limin Xu+9 more
doaj +1 more source
Bear management changes management actions according to the horizontal axis of the population size and the vertical axis of the number of nuisance bears. Aiming for the target population size of Ntar, Actions I and II protect the bears, and Action IV reduces the population.
Hiroyuki Matsuda+5 more
wiley +1 more source
SCALE method for single-cell ATAC-seq analysis via latent feature extraction. [PDF]
Single-cell ATAC-seq (scATAC-seq) profiles the chromatin accessibility landscape at single cell level, thus revealing cell-to-cell variability in gene regulation.
Gao, Ge+8 more
core
Single-cell Co-expression Subnetwork Analysis [PDF]
Single-cell transcriptomic data have rapidly become very popular in genomic science. Genomic science also has a long history of using network models to understand the way in which genes work together to carry out specific biological functions.
Bartlett, TE, Diaz, A, Müller, S
core +4 more sources
External contamination in single cell mtDNA analysis. [PDF]
Mitochondrial DNA (mtDNA) variation in single hematopoietic cells, muscle fibers, oocytes, and from tiny amount of tumor tissues and degraded clinical specimens has been reported in many medical publications.
Yong-Gang Yao+2 more
doaj +1 more source
Platforms for Single-Cell Collection and Analysis [PDF]
Single-cell analysis has become an established method to study cell heterogeneity and for rare cell characterization. Despite the high cost and technical constraints, applications are increasing every year in all fields of biology. Following the trend, there is a tremendous development of tools for single-cell analysis, especially in the RNA sequencing
Peter Androvic+2 more
openaire +3 more sources
Insights into PI3K/AKT signaling in B cell development and chronic lymphocytic leukemia
This Review explores how the phosphoinositide 3‐kinase and protein kinase B pathway shapes B cell development and drives chronic lymphocytic leukemia, a common blood cancer. It examines how signaling levels affect disease progression, addresses treatment challenges, and introduces novel experimental strategies to improve therapies and patient outcomes.
Maike Buchner
wiley +1 more source
Information-theoretic analysis of multivariate single - cell signaling responses using SLEMI
Mathematical methods of information theory constitute essential tools to describe how stimuli are encoded in activities of signaling effectors.
Blonski, Slawomir+4 more
core +1 more source
Prostate cancer is the second leading cause of cancer-related death among American men, with a new diagnosis made every 2 min in the United States. Advanced cases are commonly treated with androgen deprivation therapy (ADT).
Shengchao Zhao+7 more
doaj +1 more source