Raw qPCR Ct values. حسب Ziyang Liu (242055)

الموضوعات:

Enrichment results of gly-DEGs. حسب Ziyang Liu (242055)

الموضوعات:

Prediction of miRNAs and transcription factors upstream of core genes using regnetwork database. حسب Ziyang Liu (242055)

الموضوعات:

Identification of gly-DEGs. حسب Ziyang Liu (242055)

الموضوعات:

Sample clustering and subtyping analysis. حسب Ziyang Liu (242055)

الموضوعات:

Order parameters versus temperature for amylase tasks: حسب Carlos A. Gomez-Uribe (21492788)

An miRNA panel to predict RRiF. حسب Nabarun Chakraborty (535772)

Amino acid sequence analysis of pB169L. حسب Jiaqi Li (220961)

Coati optimization algorithm for brain tumor identification based on MRI with utilizing phase-aware composite deep neural network حسب Rajesh Kumar Thangavel (20591164)

"…<p>Brain tumors can cause difficulties in normal brain function and are capable of developing in various regions of the brain. …"

4sU-seq Signal at Putative Enhancers in Day 3 and 4 ADE Populations. حسب Jurriaan Jochem Hölzenspies (20642889)

Data generation process. حسب Nicola Dietler (12551766)

Analysis of PPI network and hub genes. حسب Yubin Xue (1537042)

Functional and Structural Characterization of Mechanosensitive Piezo1 Channel in Disease حسب Sophia Liu (722004)

"…However, most algorithms struggled to distinguish gain-of-function (GoF) from loss-of-function (LoF) variants, with GoF variants showing lower pathogenicity scores despite clinical relevance.…"

Motifs identified within the IDRs of the C-terminal regions of MADS-domain proteins. حسب Erandi Ramírez-Aguirre (22110116)

"…In contrast, in Type II MADS-domain proteins, MoRFs (purple rectangles) overlap with the predicted motifs, supporting their potential functional relevance. …"

Table 6_Predictive prioritization of genes significantly associated with biotic and abiotic stresses in maize using machine learning algorithms.xlsx حسب Anjan Kumar Pradhan (9386369)

"…However, only one gene Zm00001eb038720 encoding RNA-binding protein AU-1/Ribonuclease E/G, predicted by the PLSDA algorithm, was found commonly expressed under both biotic and abiotic stress. …"

Table 7_Predictive prioritization of genes significantly associated with biotic and abiotic stresses in maize using machine learning algorithms.xlsx حسب Anjan Kumar Pradhan (9386369)

"…However, only one gene Zm00001eb038720 encoding RNA-binding protein AU-1/Ribonuclease E/G, predicted by the PLSDA algorithm, was found commonly expressed under both biotic and abiotic stress. …"

Table 3_Predictive prioritization of genes significantly associated with biotic and abiotic stresses in maize using machine learning algorithms.xlsx حسب Anjan Kumar Pradhan (9386369)

"…However, only one gene Zm00001eb038720 encoding RNA-binding protein AU-1/Ribonuclease E/G, predicted by the PLSDA algorithm, was found commonly expressed under both biotic and abiotic stress. …"

Table 2_Predictive prioritization of genes significantly associated with biotic and abiotic stresses in maize using machine learning algorithms.xlsx حسب Anjan Kumar Pradhan (9386369)

"…However, only one gene Zm00001eb038720 encoding RNA-binding protein AU-1/Ribonuclease E/G, predicted by the PLSDA algorithm, was found commonly expressed under both biotic and abiotic stress. …"

Table 1_Predictive prioritization of genes significantly associated with biotic and abiotic stresses in maize using machine learning algorithms.xlsx حسب Anjan Kumar Pradhan (9386369)

"…However, only one gene Zm00001eb038720 encoding RNA-binding protein AU-1/Ribonuclease E/G, predicted by the PLSDA algorithm, was found commonly expressed under both biotic and abiotic stress. …"

Table 4_Predictive prioritization of genes significantly associated with biotic and abiotic stresses in maize using machine learning algorithms.xlsx حسب Anjan Kumar Pradhan (9386369)

"…However, only one gene Zm00001eb038720 encoding RNA-binding protein AU-1/Ribonuclease E/G, predicted by the PLSDA algorithm, was found commonly expressed under both biotic and abiotic stress. …"