Results 1 to 10 of about 120,383 (385)
To compare the performance of traditional G‐banding karyotyping with that of copy number variation sequencing (CNV‐Seq) for detection of chromosomal abnormalities associated with miscarriage.
S. Liu+10 more
semanticscholar +1 more source
Cytogenetic changes in bone marrow cells and their influence on clinical course of the disease were analyzed in 106 patients with acute non-lymphoblastic leukemia (ANLL).
A. M. Vakulchuk+4 more
doaj +1 more source
Varifocal-Net: A Chromosome Classification Approach using Deep Convolutional Networks [PDF]
Chromosome classification is critical for karyotyping in abnormality diagnosis. To expedite the diagnosis, we present a novel method named Varifocal-Net for simultaneous classification of chromosome's type and polarity using deep convolutional networks. The approach consists of one global-scale network (G-Net) and one local-scale network (L-Net).
arxiv +1 more source
Karyotype AI for Precision Oncology [PDF]
We present a machine learning method capable of accurately detecting chromosome abnormalities that cause blood cancers directly from microscope images of the metaphase stage of cell division. The pipeline is built on a series of fine-tuned Vision Transformers.
arxiv
Typical Burkitt lymphoma is characterized by an IG‐MYC translocation and overall low genomic complexity. Clinically, Burkitt lymphoma has a favourable prognosis with very few relapses.
S. Aukema+18 more
semanticscholar +1 more source
Masked conditional variational autoencoders for chromosome straightening [PDF]
Karyotyping is of importance for detecting chromosomal aberrations in human disease. However, chromosomes easily appear curved in microscopic images, which prevents cytogeneticists from analyzing chromosome types. To address this issue, we propose a framework for chromosome straightening, which comprises a preliminary processing algorithm and a ...
arxiv
Gene expression modelling across multiple cell-lines with MapReduce [PDF]
With the wealth of high-throughput sequencing data generated by recent large-scale consortia, predictive gene expression modelling has become an important tool for integrative analysis of transcriptomic and epigenetic data. However, sequencing data-sets are characteristically large, and previously modelling frameworks are typically inefficient and ...
arxiv +1 more source
OBJECTIVES Cytogenetics defines disease entities and predicts prognosis in acute myeloid leukemia (AML). Conventional karyotyping provides a comprehensive view of the genome, while fluorescence in situ hybridization (FISH) detects targeted abnormalities.
R. He+8 more
semanticscholar +1 more source
Multispectral karyotyping analyzes all chromosomes in a single cell by labeling them with chromosome-specific probes conjugated to unique combinations of fluorophores.
T. Potapova+8 more
semanticscholar +1 more source
Interactive Karyotyping Training [PDF]
Despite the wide use of newer techniques in genetic diagnostics, there remains a need for technologists to learn human chromosome morphology, identify abnormal metaphases and report clinical abnormalities.
Ashwin Kotwaliwale
doaj