Results 281 to 290 of about 524,719 (351)

Feature Engineering for the Prediction of Scoliosis in 5q-Spinal Muscular Atrophy. [PDF]

J Cachexia Sarcopenia Muscle
Vu-Han TL, Sunkara V, Bermudez-Schettino R, Schwechten J, Runge R, Perka C, Winkler T, Pokutta S, Weiß C, Pumberger M.   +9 more
europepmc   +1 more source

Refinement of amino‐acid conformation vs. difference density maps in time‐resolved serial femtosecond crystallography data analysis

FEBS Open Bio, EarlyView.
The dFoCC pipeline starts with observed DED and resting‐state coordinates, which are then used to generate a library of triggered states. Correlation analysis of the calculated DED features of each candidate vs observed DED permits quantitative evaluation of candidate structural quality.
Meng Iao Fong, Yuhei Hosokawa, Lars Oliver Essen, Manuel Maestre‐Reyna   +3 more
wiley   +1 more source

Diagnostics of diabetic retinopathy based on fundus photos using machine learning methods with advanced feature engineering algorithms. [PDF]

Sci Rep
Gandor M, Pałka F, Książek W, Pławiak P, Siedlecka A, Jeruzalski T, Olender-Skorek M, Jonak K, Rejdak R, Nowomiejska K, Matysik-Woźniak A, Teus M, Sanchez CA, Sylwestrzak M.   +13 more
europepmc   +1 more source

Early‐life high‐fat diet exposure increases Achilles tendon stiffness and induces transcriptomic alterations

FEBS Open Bio, EarlyView.
Early‐life exposure to a high‐fat diet altered intact Achilles tendons in rat offspring, making them thinner, stiffer, and molecularly distinct even without injury. These findings suggest that developmental high‐fat diet exposure may impair tendon quality and increase susceptibility to mechanical overload or tendon injury later in life.
Heyong Yin, Ziyang Yuan, Wenli Jiang, Ai Guo   +3 more
wiley   +1 more source

Predicting explainable dementia types with LLM-aided feature engineering. [PDF]

Bioinformatics
Kashyap AM, Rao D, Boland MR, Shen L, Callison-Burch C.   +4 more
europepmc   +1 more source

Sudden anaerobization in Amphibacillus xylanus increases intracellular labile ferrous iron and inhibits cell growth

FEBS Open Bio, EarlyView.
Abruptly changing from aerobic to anaerobic conditions (sudden anaerobization) induced growth inhibition and a significant increase in intracellular labile ferrous iron in the aerotolerant anaerobe Amphibacillus xylanus. We found that free flavins mediate efficient electron transfer from NADH to ferric iron under anaerobic conditions, suggesting that ...
Shinya Kimata, Yoichi Sakai, Keisuke Tanaka, Etsuro Yoshimura, Ken Kitano, Morio Ishikawa, Tadahiro Nakamoto, Tsutomu Takayama, Hirofumi Inoue, Kaho Nomura, Tomonori Suzuki, Masataka Uchino, Akira Abe, Youichi Niimura   +13 more
wiley   +1 more source

Differentiating Human Falls from Daily Activities Using Machine Learning Methods Based on Accelerometer and Altimeter Sensor Fusion Feature Engineering. [PDF]

Sensors (Basel)
Jurčić K, Magjarević R.
europepmc   +1 more source

The C‐terminal region of KIF26B is indispensable for nephron progenitor condensation and kidney formation in mice

FEBS Open Bio, EarlyView.
KIF26B plays an important role in kidney development. We engineered mice lacking the C‐terminal region of KIF26B and found severe kidney defects, including bilateral renal agenesis, similar to full Kif26b knockout mice. The mutation disrupted nephron progenitor condensation and reduced Gdnf‐Wnt11 signaling, showing that the KIF26B C‐terminal region is ...
Yuta Yamamura, Kengo Furuichi, Hiromitsu Akamatsu, Naoki Yamamoto, Sako Keisuke, Akihiko Koshino, Taichiro Minami, Megumi Oshima, Akinori Hara, Norihiko Sakai, Miho Shimizu, Kenta Takahashi, Minako Yamamura, Shin‐ichi Horike, Takiko Daikoku, Kenichi Harada, Yohei Shinmyo, Hiroshi Kawasaki, Takashi Wada, Yasunori Iwata   +19 more
wiley   +1 more source

A Feature Engineering Method for Whole-Genome DNA Sequence with Nucleotide Resolution. [PDF]

Int J Mol Sci
Wang T, Cui Y, Sun T, Li H, Wang C, Hou Y, Wang M, Chen L, Wu J.   +8 more
europepmc   +1 more source

Advanced feature engineering in Acute:Chronic Workload Ratio (ACWR) calculation for injury forecasting in elite soccer. [PDF]

PLoS One
Matas-Bustos JB, Mora-García AM, de Hoyo Lora M, Nieto-Alarcón A, Gonzalez-Fernández FT.   +4 more
europepmc   +1 more source