Results 71 to 80 of about 1,650,435 (305)

Single‐cell DNA methylation profiling: Technologies, computation, and applications in precision oncology

open access: yesMolecular Oncology, EarlyView.
Single‐cell DNA methylation (scDNAme) profiling maps epimutational clonal evolution, revealing mechanisms of malignancy and therapeutic resistance across diverse cancer types. By providing a high‐resolution landscape of intratumoral heterogeneity, these technologies empower precise patient stratification, guide the development of enhanced ...
Ik Soo Kim
wiley   +1 more source

Generalized Differentiation of Parameter-Dependent Sets and Mappings [PDF]

open access: yes, 2006
The paper concerns new aspects of generalized differentiation theory that plays a crucial role in many areas of modern variational analysis, optimization, and their applications.
Wang, Bingwu, Mordukhovich, Boris S
core   +1 more source

Generalized groundwater plume with degradation and rate-limited sorption model with Mittag-Leffler law

open access: yesResults in Physics, 2017
The concept of differentiation with the generalized Mittag-Leffler law is used in this paper to construct the model of movement of groundwater pollution with degradation and limited sorption. The fractional differentiation used in the model is in Riemann-
Badr Saad T. Alkahtani, Abdon Atangana
doaj   +1 more source

Pemphigus foliaceus with pustular presentation in a patient with psoriasis [PDF]

open access: yesAnais Brasileiros de Dermatologia, 2017
Pemphigus foliaceus is a chronic autoimmune disease of the skin, clinically characterized by scaly and crusty cutaneous erosions involving the seborrheic areas. The patient can eventually become erythrodermic.
Vando Barbosa de Sousa   +3 more
doaj   +1 more source

auto-differentiation/XAD: v1.5.0

open access: yes
<h2>Added</h2> <ul> <li>Python bindings as <a href="https://pypi.org/project/xad-autodiff/">xad-autodiff</a> in https://github.com/auto-differentiation/XAD/pull/98</li> <li>Added <code>std::is_signed&
Auto Differentiation Dev Team   +4 more
core   +1 more source

Genes involved in spermatogonial stem cell self-renewal and differentiation [PDF]

open access: yes, 2008
Spermatozoa are produced by the process of spermatogenesis. At the base of this process is a pool of spermatogonial stem cells that generate new stem cells as well as committed spermatogonia that will eventually differentiate in spermatozoa.
Genes/proteins responsible for the regulation of proliferation and differentiation of spermatogonial stem cells   +2 more
core   +1 more source

Intrapatient tumour heterogeneity and clonal evolution in an autopsy study of metastatic salivary gland cancer

open access: yesMolecular Oncology, EarlyView.
Tumour heterogeneity and clonal evolution of metastatic salivary gland cancer were evaluated in two patients with adenoid carcinoma and one patient with myoepithelial carcinoma. Radiology‐guided autopsy enabled multi‐region sampling (total samples n = 149), followed by whole‐genome sequencing and phylogenetic reconstruction (17 tumour samples, 4–7 per ...
Gerben Lassche   +10 more
wiley   +1 more source

Predicting the Sence of psychological coherence based on emotion regulation, self-differentiation and self-compassion in Patients with generalized anxiety disorder [PDF]

open access: yesروانشناسی و روانپزشکی شناخت
Introduction: Generalized Anxiety Disorder (GAD) is of great importance due to its high prevalence and its adverse effects on both public and mental health.
Niloofar Mikaeili   +2 more
doaj  

auto-differentiation/XAD: v1.5.1

open access: yes
<p>This is a patch release to allow interoperability with the QuantLib-Risks Python package.</p> <h2>What's Changed</h2> <ul> <li>Adds static tape functions to control tape activation in https://github.com/auto ...
Auto Differentiation Dev Team   +4 more
core   +1 more source

Arginine methylation as a regulatory ratchet in cancer: From substrate selection to malignant‐state stabilization

open access: yesMolecular Oncology, EarlyView.
Arginine methylation can be viewed as a persistence‐prone post‐translational modification regulated by a network of PRMTs. Competitive and compensatory interactions among PRMTs can redistribute methylation across substrate pools shaped by sequence, structural, spatial, and environmental layers, reinforcing RNA‐processing, chromatin, and signaling ...
So Hyun Kwon, Ji Min Lee
wiley   +1 more source

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