Results 111 to 120 of about 7,765,049 (335)

The Holdout Randomization Test for Feature Selection in Black Box Models

, 2021
Wesley Tansey, Victor Veitch, Haoran Zhang, Raúl Rabadán, David M. Blei   +4 more
openalex   +1 more source

Feature selection and dimension reduction for single-cell RNA-Seq based on a multinomial model

Genome Biology, 2019
Single-cell RNA-Seq (scRNA-Seq) profiles gene expression of individual cells. Recent scRNA-Seq datasets have incorporated unique molecular identifiers (UMIs). Using negative controls, we show UMI counts follow multinomial sampling with no zero inflation.
F. W. Townes, Stephanie C. Hicks, Martin J. Aryee, R. Irizarry   +3 more
semanticscholar   +1 more source

Sequence determinants of RNA G‐quadruplex unfolding by Arg‐rich regions

FEBS Letters, EarlyView.
We show that Arg‐rich peptides selectively unfold RNA G‐quadruplexes, but not RNA stem‐loops or DNA/RNA duplexes. This length‐dependent activity is inhibited by acidic residues and is conserved among SR and SR‐related proteins (SRSF1, SRSF3, SRSF9, U1‐70K, and U2AF1).
Naiduwadura Ivon Upekala De Silva, Puspa Kunwar, Md Ibnul Rifat Rahman, Joanna Koryo Kwao, Nathan Lehman, Zihan Zhang, Trenton Paul, Claire Cheng, Nicholas Truex, Hui‐Ting Lee, Jun Zhang   +10 more
wiley   +1 more source

The Effect of Feature Selection on Machine Learning Classification

JOIV: International Journal on Informatics Visualization
High-dimensional datasets can lead to overfitting and computationally expensive model building on machine learning. This study uses a dimensionality reduction technique, namely feature selection techniques, to overcome these problems.
Jasman Pardede, Rio Dwianto
doaj   +1 more source

Cell wall target fragment discovery using a low‐cost, minimal fragment library

FEBS Letters, EarlyView.
LoCoFrag100 is a fragment library made up of 100 different compounds. Similarity between the fragments is minimized and 10 different fragments are mixed into a single cocktail, which is soaked to protein crystals. These crystals are analysed by X‐ray crystallography, revealing the binding modes of the bound fragment ligands.
Kaizhou Yan, Mathew Stanley, Olawale Raimi, Andrew T. Ferenbach, Helge C Dorfmueller, Daan M. F. van Aalten   +5 more
wiley   +1 more source

Erratum to: Time series prediction using PSO-optimized neural network and hybrid feature selection algorithm for IEEE load data [PDF]

, 2012
Mansour Sheikhan, Najmeh Mohammadi
openalex   +1 more source

The Art-of-Hyper-Parameter Optimization with Desirable Feature Selection [PDF]

, 2021
Priynka Sharma, Kaylash Chaudhary, M. G. M. Khan   +2 more
openalex   +1 more source

The (Glg)ABCs of cyanobacteria: modelling of glycogen synthesis and functional divergence of glycogen synthases in Synechocystis sp. PCC 6803

FEBS Letters, EarlyView.
We reconstituted Synechocystis glycogen synthesis in vitro from purified enzymes and showed that two GlgA isoenzymes produce glycogen with different architectures: GlgA1 yields denser, highly branched glycogen, whereas GlgA2 synthesizes longer, less‐branched chains.
Kenric Lee, Dimitrios Bekiari, Sofia Doello, Karl Forchhammer   +3 more
wiley   +1 more source

Structural biology of ferritin nanocages

FEBS Letters, EarlyView.
Ferritin is a conserved iron‐storage protein that sequesters iron as a ferric mineral core within a nanocage, protecting cells from oxidative damage and maintaining iron homeostasis. This review discusses ferritin biology, structure, and function, and highlights recent cryo‐EM studies revealing mechanisms of ferritinophagy, cellular iron uptake, and ...
Eloise Mastrangelo, Flavio Di Pisa
wiley   +1 more source

On Supervised Feature Selection from High Dimensional Feature Spaces

APSIPA Transactions on Signal and Information Processing, 2022
Yijing Yang, Wei Wang, Hongyu Fu, C.-C. Jay Kuo   +3 more
doaj   +1 more source