DOCSLIB.ORG
Explore
Sign Up
Log In
Upload
Search
Home
» Tags
» SECTM1
SECTM1
Genomic and Expression Profiling of Chromosome 17 in Breast Cancer Reveals Complex Patterns of Alterations and Novel Candidate Genes
Identification of Novel Alternative Splice Isoforms of Circulating Proteins in a Mouse Model of Human Pancreatic Cancer
Development and Validation of an Individualized Immune Prognostic Signature in Early-Stage Nonsquamous Non–Small Cell Lung Cancer
Cysteine‑Rich 61‑Associated Gene Expression Profile Alterations in Human Glioma Cells
Content Based Search in Gene Expression Databases and a Meta-Analysis of Host Responses to Infection
KDML: a Machine-Learning Framework for Inference of Multi-Scale Gene Functions from Genetic Perturbation Screens
Table S1. 103 Ferroptosis-Related Genes Retrieved from the Genecards
Primepcr™Assay Validation Report
Tex19 and Sectm1 Concordant Molecular Phylogenies Support Co
Network Mining Approach to Cancer Biomarker Discovery
Identification of Important Cell Cycle Regulators And
Supplementary Data
Supplementary Methods
Developing Pathway Collection for Personalized Anti-Cancer Therapy Luminita Castillos1 and Anton Yuryev2*
Flexible Model-Based Joint Probabilistic Clustering of Binary and Continuous Inputs and Its Application to Genetic Regulation and Cancer
105998824-Oa
Download Options of Search Results, Manually Curated and Predicted Translocating Protein Sets Are Available on Its Website
Quantitative Proteome Pro Ling of Respiratory
Top View
Prediction of Future Metastasis and Molecular Characterization of Head and Neck Squamous-Cell Carcinoma Based on Transcriptome and Genome Analysis Bymicroarrays
Sectm1a Deficiency Aggravates Inflammation-Triggered Cardiac Dysfunction Through Disruption of Lxrα Signaling in Macrophages
Gene Expression Profiles for Low-Dose Exposure to Diethyl
Prdc Cdna Insert Product Line
Formal Concept Analysis and Knowledge Integration for Highlighting Statistically Enriched Functions from Microarrays Data Sidahmed Benabderrahmane
By Ifns in Endothelial Cells Identification of Genes Selectively
Meta-Analysis of Transcriptome Data Detected New Potential Players in Response to Dioxin Exposure in Humans