Results 81 to 90 of about 811,918 (310)

Multi‐omics and low‐input proteomics profiling reveals dynamic regulation driving pluripotency initiation in early mouse embryos

FEBS Open Bio, EarlyView.
Mouse pre‐implantation development involves a transition from totipotency to pluripotency. Integrating transcriptomics, epigenetic profiling, low‐input proteomics and functional assays, we show that eight‐cell embryos retain residual totipotency features, whereas cytoskeletal remodeling regulated by the ubiquitin‐proteasome system drives progression ...
Wanqiong Li, Xi Xiao, Lingbin Qi, Chanyi Li, Sirui Song, Jiaying Qin, Zhigang Xue, Jinfeng Xue, Huaifang Li   +8 more
wiley   +1 more source

OPTIMALISASI HASIL PROSES WIRE-CUT EDM DENGAN METODE PRINCIPAL COMPONENT ANALYSIS (PCA)

Rotor: Jurnal Ilmiah Teknik Mesin, 2017
Some of the desired performance of the machining process Wire-Cut Electric Discharge Machining CV. Catur Prasetya Packindo is rate workmanship short and surface roughness of lower cutting. The problem is how to manage the performance of process variables
Mulyadi Mulyadi, Agus Puji Suryanto
doaj  

Stratification of cephalosporins based on physicochemical and pharmacokinetic variables using multivariate statistical tools

Intelligent Pharmacy
Introduction: Cephalosporins, a class of beta-lactam antibiotics, are commonly used in medical practice. However, their potential advantages, based on physicochemical and pharmacokinetic variables, are often overlooked.
Carlos Alberto Escobar Angulo, Antistio Alviz Amador, Julián Javier Martínez Zambrano   +2 more
doaj   +1 more source

PCA and K-Means decipher genome

, 2008
In this paper, we aim to give a tutorial for undergraduate students studying statistical methods and/or bioinformatics. The students will learn how data visualization can help in genomic sequence analysis.
A Zinovyev, AN Gorban, AN Gorban, AN Gorban, AY Zinovyev, FHC Crick, HY Ou, J Jackson, R Staden   +8 more
core   +2 more sources

A light‐triggered Time‐Resolved X‐ray Solution Scattering (TR‐XSS) workflow with application to protein conformational dynamics

FEBS Open Bio, EarlyView.
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei, Fredrik Orädd, Konstantinos Magkakis, Magnus Andersson   +3 more
wiley   +1 more source

Applicability of mitotic figure counting by deep learning: a development and pan‐cancer validation study

FEBS Open Bio, EarlyView.
In this study, we developed a deep learning method for mitotic figure counting in H&E‐stained whole‐slide images and evaluated its prognostic impact in 13 external validation cohorts from seven different cancer types. Patients with more mitotic figures per mm2 had significantly worse patient outcome in all the studied cancer types except colorectal ...
Joakim Kalsnes, Maria X. Isaksen, Frida Julbø, Manohar Pradhan, Andreas Kleppe, Sepp De Raedt, Ole‐Johan Skrede, Turid Torheim, John Arne Nesheim, Hans Martin Mohn, Hanne A. Askautrud, Karolina Cyll, Wanja Kildal, Emma Rewcastle, Melinda Lillesand, Vebjørn Kvikstad, Emiel Janssen, Robert Jones, Odd Terje Brustugun, Bjørn Brennhovd, Erik Skaaheim Haug, Lill‐Tove Rasmussen Busund, Elin Richardsen, Sigve Andersen, Tom Dønnem, Kristina Lindemann, Gunnar Kristensen, Neil A. Shepherd, Marco Novelli, Knut Liestøl, David Kerr, Håvard E. Danielsen, Tarjei S. Hveem   +32 more
wiley   +1 more source

ACCPlot: gráficos del ACP con Mathematica

Revista de Matemática: Teoría y Aplicaciones, 2009
ACPPlot is a command for creating graphics for Principal Component Analysis (PCA), principal planes and correlation circles; in both cases, adding options for joining points with trajectories, clustering points, labeling and for improving the general ...
Carlos Arce Salas
doaj   +1 more source

A least squares approach to Principal Component Analysis for interval valued data [PDF]

Principal Component Analysis (PCA) is a well known technique the aim of which is to synthesize huge amounts of numerical data by means of a low number of unobserved variables, called components.
D'Urso, Pierpaolo, Giordani, Paolo
core  

N-Dimensional Principal Component Analysis [PDF]

, 2010
In this paper, we first briefly introduce the multidimensional Principal Component Analysis (PCA) techniques, and then amend our previous N-dimensional PCA (ND-PCA) scheme by introducing multidirectional decomposition into ND-PCA implementation.
Yu, Hongchuan
core  

Self-adaptive node-based PCA encodings

, 2017
In this paper we propose an algorithm, Simple Hebbian PCA, and prove that it is able to calculate the principal component analysis (PCA) in a distributed fashion across nodes.
Johard, Leonard, Lee, JooYoung, Mazzara, Manuel, Rivera, Victor   +3 more
core   +1 more source