Adaptive machine learning algorithm and analytics of big genomic data for gene prediction
Artificial intelligence helps in tracking and preventing diseases. For instance, machine
learning algorithms can analyze big genomic data and predict genes, which helps …
learning algorithms can analyze big genomic data and predict genes, which helps …
Thermodynamic modeling reveals widespread multivalent binding by RNA-binding proteins
S Sohrabi-Jahromi, J Söding - Bioinformatics, 2021 - academic.oup.com
Motivation Understanding how proteins recognize their RNA targets is essential to elucidate
regulatory processes in the cell. Many RNA-binding proteins (RBPs) form complexes or …
regulatory processes in the cell. Many RNA-binding proteins (RBPs) form complexes or …
Discrete-Time Markov Chain Application to Population Growth Control in Lagos Metropolis, Nigeria
EB Nkemnole, EM Ikegwu - Journal of Applied Sciences and Environmental …, 2022 - ajol.info
The study considered the birth gap with four states, length of breastfeeding with four states
and type of contraceptives used with five states, by mothers with at least three conceptions in …
and type of contraceptives used with five states, by mothers with at least three conceptions in …
Evolution and DNA-binding specificity of the SIX class of transcription factors
AR Rivera Barreto - 2022 - repositorio.upr.edu
Transcription factors (TF) are critical for development and cellular processes and are found
in all organisms. How their DNA-binding specificity changes through time has yet to be fully …
in all organisms. How their DNA-binding specificity changes through time has yet to be fully …
Evolution and DNA-binding Specificity of the Six Class of Transcription Factors
ARR Barreto - 2022 - search.proquest.com
Transcription factors (TF) are critical for development and cellular processes and are found
in all organisms. How their DNA-binding specificity changes through time has yet to be fully …
in all organisms. How their DNA-binding specificity changes through time has yet to be fully …