Results 71 to 80 of about 152,864 (305)

Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers

open access: yesMolecular Oncology, EarlyView.
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel   +6 more
wiley   +1 more source

Density averaging for Markov processes and the invariant measures problem

open access: yes, 1979
A necessary and sufficient condition is given for the existence of a finite invariant measure equivalent to a given reference measure for a discrete time, general state Markov process. The condition is an extension of one given by D.
Greenland, Arnold
core   +1 more source

Magnetic Bead Purification of Labeled DNA Fragments for High-Throughput Capillary Electrophoresis Sequencing

open access: yesBioTechniques, 2002
We have developed an automated purification method for dye-terminator-based DNA sequencing products using a magnetic bead approach. This 384-well protocol generates sequence fragments that are essentially free of template DNA, salt, and excess dye ...
C. Elkin   +6 more
doaj   +1 more source

Network divergence analysis identifies adaptive gene modules and two orthogonal vulnerability axes in pancreatic cancer

open access: yesMolecular Oncology, EarlyView.
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson   +9 more
wiley   +1 more source

An Improved Weighted Average Ensemble Method for Textual Sentiment Analysis with Transformer and FNet

open access: yesInformation
To address the limitations of existing sentiment analysis methods—specifically, the suboptimal performance of equal-weight ensemble averaging—this paper proposes an improved weighted average ensemble method for textual sentiment analysis.
Xia Wu, Hongxi Ke, Qinge Wu
doaj   +1 more source

Legofit: estimating population history from genetic data

open access: yesBMC Bioinformatics, 2019
Background Our current understanding of archaic admixture in humans relies on statistical methods with large biases, whose magnitudes depend on the sizes and separation times of ancestral populations.
Alan R. Rogers
doaj   +1 more source

On the exponent average of integer sequences

open access: yesMonatshefte für Mathematik, 1995
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

IMPDH inhibition enhances cytarabine efficacy in SAMHD1‐expressing leukaemia cells via guanine nucleotide depletion

open access: yesMolecular Oncology, EarlyView.
Cytarabine is a key therapy for acute myeloid leukaemia (AML), but its efficacy is limited by the dNTPase SAMHD1, which hydrolyses its active metabolite. Screening nucleotide biosynthesis inhibitors revealed that IMPDH inhibitors selectively sensitise SAMHD1‐proficient AML cells to cytarabine.
Miriam Yagüe‐Capilla   +9 more
wiley   +1 more source

Somatic mutational landscape in von Hippel–Lindau familial hemangioblastoma

open access: yesMolecular Oncology, EarlyView.
The causes of central nervous system (CNS) hemangioblastoma in Von Hippel–Lindau (vHL) disease are unclear. We used Whole Exome Sequencing (WES) on familial hemangioblastoma to investigate events that underlie tumor development. Our findings suggest that VHL loss creates a permissive environment for tumor formation, while additional alterations ...
Maja Dembic   +5 more
wiley   +1 more source

Averaging Sequences, Deranged Mappings, and a Problem of Lampert and Slater

open access: yesJournal of Combinatorial Theory, Series A, 2000
For a given triangular array \(p_{n,k}\), \(0\leq k\leq n\) and \(n\geq 1\), of probabilities whose row sums equal 1, and six positive constants \(\alpha\), \(\beta\), \(a\), \(b\), \(\lambda\), \(\phi\), let the sequence \(q_n\) be defined as follows: \(q_0= 0\), \(q_1= 1\), and \(q_{n+1}= \sum^n_{k=0} p_{n,k} q_k\) for \(n\geq 1\). Define \[ F(X)= a+
Neil J. Calkin   +2 more
openaire   +1 more source

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