[HTML][HTML] Heuristic analysis of genomic sequence processing models for high efficiency prediction: A statistical perspective
AR Durge, DD Shrimankar, AD Sawarkar - Current Genomics, 2022 - ncbi.nlm.nih.gov
Genome sequences indicate a wide variety of characteristics, which include species and
sub-species type, genotype, diseases, growth indicators, yield quality, etc. To analyze and …
sub-species type, genotype, diseases, growth indicators, yield quality, etc. To analyze and …
Predicting transcriptional responses to cold stress across plant species
Although genome-sequence assemblies are available for a growing number of plant
species, gene-expression responses to stimuli have been cataloged for only a subset of …
species, gene-expression responses to stimuli have been cataloged for only a subset of …
Genome-wide annotation and expression analysis of WRKY and bHLH transcriptional factor families reveal their involvement under cadmium stress in tomato …
The WRKY and bHLH transcription factors have been implicated in the regulation of gene
expression during various physiological processes in plants, especially in plant stress …
expression during various physiological processes in plants, especially in plant stress …
Dynamic interplay of WRKY, GRAS, and ERF transcription factor families in tomato-endophytic fungal symbiosis: insights from transcriptome and genome-wide …
Plant-microbe interactions play a crucial role in shaping plant growth and development, as
well as in mediating plant responses to biotic and abiotic stresses. In this study, we used …
well as in mediating plant responses to biotic and abiotic stresses. In this study, we used …
Maize Feature Store: A centralized resource to manage and analyze curated maize multi-omics features for machine learning applications
S Sen, MR Woodhouse, JL Portwood, CM Andorf - Database, 2023 - academic.oup.com
The big-data analysis of complex data associated with maize genomes accelerates genetic
research and improves agronomic traits. As a result, efforts have increased to integrate …
research and improves agronomic traits. As a result, efforts have increased to integrate …
PGD: a machine learning-based photosynthetic-related gene detection approach
Y Wang, X Dai, D Fu, P Li, B Du - BMC bioinformatics, 2022 - Springer
Background The primary determinant of crop yield is photosynthetic capacity, which is under
the control of photosynthesis-related genes. Therefore, the mining of genes involved in …
the control of photosynthesis-related genes. Therefore, the mining of genes involved in …