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Basic microarray analysis: grouping and feature reduction.
Raychaudhuri S, Sutphin PD, Chang JT, Altman RB. Raychaudhuri S, et al. Trends Biotechnol. 2001 May;19(5):189-93. doi: 10.1016/s0167-7799(01)01599-2. Trends Biotechnol. 2001. PMID: 11301132 Review.
There is a critical need to summarize this data and to pick out the important details. The most common activities, therefore, are to group together microarray data and to reduce the number of features. Both of these activities can be done using only the raw …
There is a critical need to summarize this data and to pick out the important details. The most common activities, therefore, are to grou …
Human genome meeting 2016 : Houston, TX, USA. 28 February - 2 March 2016.
Srivastava AK, Wang Y, Huang R, Skinner C, Thompson T, Pollard L, Wood T, Luo F, Stevenson R, Polimanti R, Gelernter J, Lin X, Lim IY, Wu Y, Teh AL, Chen L, Aris IM, Soh SE, Tint MT, MacIsaac JL, Yap F, Kwek K, Saw SM, Kobor MS, Meaney MJ, Godfrey KM, Chong YS, Holbrook JD, Lee YS, Gluckman PD, Karnani N; GUSTO study group; Kapoor A, Lee D, Chakravarti A, Maercker C, Graf F, Boutros M, Stamoulis G, Santoni F, Makrythanasis P, Letourneau A, Guipponi M, Panousis N, Garieri M, Ribaux P, Falconnet E, Borel C, Antonarakis SE, Kumar S, Curran J, Blangero J, Chatterjee S, Kapoor A, Akiyama J, Auer D, Berrios C, Pennacchio L, Chakravarti A, Donti TR, Cappuccio G, Miller M, Atwal P, Kennedy A, Cardon A, Bacino C, Emrick L, Hertecant J, Baumer F, Porter B, Bainbridge M, Bonnen P, Graham B, Sutton R, Sun Q, Elsea S, Hu Z, Wang P, Zhu Y, Zhao J, Xiong M, Bennett DA, Hidalgo-Miranda A, Romero-Cordoba S, Rodriguez-Cuevas S, Rebollar-Vega R, Tagliabue E, Iorio M, D’Ippolito E, Baroni S, Kaczkowski B, Tanaka Y, Kawaji H, Sandelin A, Andersson R, Itoh M, Lassmann T; The FANTOM5 Consortium; Hayashizaki Y, Carninci P, Forrest ARR, Semple CA, Rosenthal EA, Shirts B, Amendola L, Gallego C, Horike-Pyne… See abstract for full author list ➔ Srivastava AK, et al. Hum Genomics. 2016 May 26;10 Suppl 1(Suppl 1):12. doi: 10.1186/s40246-016-0063-5. Hum Genomics. 2016. PMID: 27294413 Free PMC article.
Statz, S. Mockus O22 Genomic analysis reveals novel drivers and progression pathways in skin basal cell carcinoma S. ...Antonarakis O23 Identification of differential biomarkers of hepatocellular carcinoma and cholangiocarcinoma via transcriptome microarray meta- …
Statz, S. Mockus O22 Genomic analysis reveals novel drivers and progression pathways in skin basal cell carcinoma S. ...Antonarakis O …
Filter versus wrapper gene selection approaches in DNA microarray domains.
Inza I, Larrañaga P, Blanco R, Cerrolaza AJ. Inza I, et al. Artif Intell Med. 2004 Jun;31(2):91-103. doi: 10.1016/j.artmed.2004.01.007. Artif Intell Med. 2004. PMID: 15219288 Review.
As DNA microarray technology measures the gene expression en masse, this has resulted in data with the number of features (genes) far exceeding the number of samples. As the predictive accuracy of supervised classifiers that try to discriminate between the classes o …
As DNA microarray technology measures the gene expression en masse, this has resulted in data with the number of features (gen …
Bi-allelic Variants in DYNC1I2 Cause Syndromic Microcephaly with Intellectual Disability, Cerebral Malformations, and Dysmorphic Facial Features.
Ansar M, Ullah F, Paracha SA, Adams DJ, Lai A, Pais L, Iwaszkiewicz J, Millan F, Sarwar MT, Agha Z, Shah SF, Qaisar AA, Falconnet E, Zoete V, Ranza E, Makrythanasis P, Santoni FA, Ahmed J, Katsanis N, Walsh C, Davis EE, Antonarakis SE. Ansar M, et al. Am J Hum Genet. 2019 Jun 6;104(6):1073-1087. doi: 10.1016/j.ajhg.2019.04.002. Epub 2019 May 9. Am J Hum Genet. 2019. PMID: 31079899 Free PMC article.
We performed whole-exome sequencing, homozygosity mapping, and chromosomal microarray studies in five individuals from three independent pedigrees and identified likely-pathogenic variants in DYNC1I2 (Dynein Cytoplasmic 1 Intermediate Chain 2), encoding a component of the …
We performed whole-exome sequencing, homozygosity mapping, and chromosomal microarray studies in five individuals from three independ …
ID helix-loop-helix proteins as determinants of cell survival in B-cell chronic lymphocytic leukemia cells in vitro.
Weiler S, Ademokun JA, Norton JD. Weiler S, et al. Mol Cancer. 2015 Feb 3;14(1):30. doi: 10.1186/s12943-014-0286-9. Mol Cancer. 2015. PMID: 25644253 Free PMC article.
ID2/ID3 protein levels in primary leukemia cells and in MEC1 cells were manipulated by transduction with siRNA reagents. ...Consistent with microarray data, the overall pattern of ID2/ID3 protein expression in relation to cell death/survival responses of prim …
ID2/ID3 protein levels in primary leukemia cells and in MEC1 cells were manipulated by transduction with siRNA reagents. ...Consisten …