Results 81 to 90 of about 914,980 (369)

Unraveling LINE‐1 retrotransposition in head and neck squamous cell carcinoma

Molecular Oncology, EarlyView.
The novel RetroTest method allows the detection of L1 activation in clinical samples with low DNA input, providing global L1 activity and the identification of the L1 source element. We applied RetroTest to a real‐world cohort of HNSCC patients where we reported an early L1 activation, with more than 60% of T1 patients showing L1 activity.
Jenifer Brea‐Iglesias, Ana Oitabén, Sonia Zumalave, Bernardo Rodriguez‐Martin, María Gallardo‐Gómez, Martín Santamarina, Ana Pequeño‐Valtierra, Laura Juaneda‐Magdalena, Ramón García‐Escudero, José Luis López‐Cedrún, Máximo Fraga, José M. C. Tubio, Mónica Martínez‐Fernández   +12 more
wiley   +1 more source

PCSIM: a parallel simulation environment for neural circuits fully integrated with Python

Frontiers in Neuroinformatics, 2009
The Parallel Circuit SIMulator (PCSIM) is a software package for simulation of neural circuits. It is primarily designed for distributed simulation of large scale networks of spiking point neurons. Although its computational core is written in C++, PCSIM'
Dejan Pecevski, Thomas Natschläger, Klaus Schuch   +2 more
doaj   +1 more source

Urdu News Clustering Using K-Mean Algorithm On The Basis Of Jaccard Coefficient And Dice Coefficient Similarity

Advances in Distributed Computing and Artificial Intelligence Journal, 2022
Clustering is the unsupervised machine learning process that group data objects into clusters such that objects within the same cluster are highly similar to one another.
Zahid Rahman, Altaf Hussain, Hussain Shah, Muhammad Arshad   +3 more
doaj   +1 more source

Python for education: permutations [PDF]

, 2013
Python implementation of permutations is presented. Three classes are introduced: Perm for permutations, Group for permutation groups, and PermError to report any errors for both classes.
Kapanowski, Andrzej
core   +3 more sources

Pingouin: statistics in Python

Journal of Open Source Software, 2018
Python is currently the fastest growing programming language in the world, thanks to its ease-of-use, fast learning curve and its numerous high quality packages for data science and machine-learning.
Raphael Vallat
semanticscholar   +1 more source

ITGAV and SMAD4 influence the progression and clinical outcome of pancreatic ductal adenocarcinoma

Molecular Oncology, EarlyView.
In SMAD4‐positive pancreatic ductal adenocarcinoma (PDAC), integrin subunit alpha V (ITGAV) activates latent TGF‐β, which binds to the TGF‐β receptor and phosphorylates SMAD2/3. The activated SMAD2/3 forms a complex with SMAD4, and together they translocate to the nucleus, modulating gene expression to promote proliferation, migration, and invasion. In
Daniel K. C. Lee, Keyue Chen, Ryan Loke, Xiang Li, David Liubart, Golam T. Saffi, Jonathan T. S. Chow, Ché M. P. Melo, Lydia To, Leonardo Salmena   +9 more
wiley   +1 more source

CoClust: A Python Package for Co-Clustering

Journal of Statistical Software, 2019
Co-clustering (also known as biclustering), is an important extension of cluster analysis since it allows to simultaneously group objects and features in a matrix, resulting in row and column clusters that are both more accurate and easier to interpret ...
François Role, Stanislas Morbieu, Mohamed Nadif   +2 more
doaj   +1 more source

Modernizing PHCpack through phcpy [PDF]

, 2014
PHCpack is a large software package for solving systems of polynomial equations. The executable phc is menu driven and file oriented. This paper describes the development of phcpy, a Python interface to PHCpack. Instead of navigating through menus, users
Verschelde, Jan
core  

Postprandial morphological response of the intestinal epithelium of the Burmese python (Python molurus)

, 2006
The postprandial morphological changes of the intestinal epithelium of Burmese pythons were examined using fasting pythons and at eight time points after feeding.
Aldewachi, Carey, Carey, Cramp, Cécile Helmstetter, Diamond, Diaz, Dunel-Erb, Garcia Hernandez, Gershon, Goodlad, Greene, Hammond, Heyman, Hume, Jean-Hervé Lignot, Johnson, Lignot, McLeese, Noaillac-Depeyre, Noaillac-Depeyre, Piersma, Pope, Rodewald, Secor, Secor, Secor, Secor, Secor, Secor, Secor, Secor, Secor, Sire, Solomon, Starck, Stephen M. Secor, Walker, Walsh, Weaver, Weinman   +40 more
core   +1 more source

Machine learning for identifying liver and pancreas cancers through comprehensive serum glycopeptide spectra analysis: a case‐control study

Molecular Oncology, EarlyView.
This study presents a novel AI‐based diagnostic approach—comprehensive serum glycopeptide spectra analysis (CSGSA)—that integrates tumor markers and enriched glycopeptides from serum. Using a neural network model, this method accurately distinguishes liver and pancreatic cancers from healthy individuals.
Motoyuki Kohjima, Yuko Takami, Ken Kawabe, Kazuhiro Tanabe, Chihiro Hayashi, Mikio Mikami, Tetsuya Kusumoto   +6 more
wiley   +1 more source