Connection

IVAN GORLOV to Logistic Models

This is a "connection" page, showing publications IVAN GORLOV has written about Logistic Models.
Connection Strength

0.433
  1. SNP characteristics and validation success in genome wide association studies. Hum Genet. 2022 Feb; 141(2):229-238.
    View in: PubMed
    Score: 0.137
  2. How to get the most from microarray data: advice from reverse genomics. BMC Genomics. 2014 Mar 21; 15:223.
    View in: PubMed
    Score: 0.080
  3. Modified logistic regression models using gene coexpression and clinical features to predict prostate cancer progression. Comput Math Methods Med. 2013; 2013:917502.
    View in: PubMed
    Score: 0.078
  4. Building a statistical model for predicting cancer genes. PLoS One. 2012; 7(11):e49175.
    View in: PubMed
    Score: 0.073
  5. A Phenome-Wide Association Study Uncovers a Role for Autoimmunity in the Development of Chronic Obstructive Pulmonary Disease. Am J Respir Cell Mol Biol. 2018 06; 58(6):777-779.
    View in: PubMed
    Score: 0.027
  6. Tissue Effects in a Randomized Controlled Trial of Short-term Finasteride in Early Prostate Cancer. EBioMedicine. 2016 May; 7:85-93.
    View in: PubMed
    Score: 0.023
  7. Nicotinic acetylcholine receptor region on chromosome 15q25 and lung cancer risk among African Americans: a case-control study. J Natl Cancer Inst. 2010 Aug 04; 102(15):1199-205.
    View in: PubMed
    Score: 0.015
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.