Type: array<System.Single[] The one-dimensional array to copy from. startIndex Type:System.Int32 The zero-based index into the array where Copy should start. destination Type:System.IntPtr The memory pointer to copy to. length Type:System.Int32 ...
Raw counts were log- and size factor-normalized and scaled, followed by dimensional reduction via principal component analysis, as implemented in monocle3 (v0.2.3.0)82. Principal components were subsequently used as input for batch correction by matching mutual nearest neighbors, employing the function...
/// // Instanciate a const double matrix // NOTE: how we use a const type with the Matlab input ndArray<const double,2> A; // Get Matlab's first input // NOTE: an exception will be raised if the input is not two-dimensional (matrix) // or if the value type is not double. ...
Tex2 cells (Fig.1h,i). Accordingly, the Tex2 but not the Tex1 cell proportion continuously increased, whereas the two Tpexcell states decreased during tumour progression (Extended Data Fig.2c). Finally, as expected, Tpex1 and Tex1 cells were reduced following perturbation ofMyb25andTbx21(w...
Get two dimensional arrayInstead, what if you have to use pyexcel.get_array to do the same:>>> for row in p.get_array(file_name="your_file.xls", start_row=1): ... print(f"{row[2]} are from {row[0]} period ({row[1]})") Machaut, Landini are from Medieval period (c....
Diffusion maps for high-dimensional single-cell analysis of differentiation data. Bioinformatics. 2015;31(18):2989–98. https://doi.org/10.1093/bioinformatics/btv325. Article PubMed CAS Google Scholar Rizvi AH, Camara PG, Kandror EK, Roberts TJ, Schieren I, Maniatis T, et al. Single-cell...
title:Multi-dimensional single-cell characterization revealed suppressive immune microenvironment in AFP-positive hepatocellular carcinoma author:Huisi He, Shuzhen Chen,ZhecaiFan, Yaping Dong,YingWang,ShiyaoLi,XiaojuanSun,YutingSong, Jinxian Yang,QiqiCao,JieJiang, Xianming Wang,WenWen and Hongyang Wang ...
Multi‐dimensional time‐correlated single photon counting (TCSPC) fluorescence lifetime imaging microscopy (FLIM) to detect FRET in cells We present a novel, multi-dimensional, time-correlated single photon counting (TCSPC) technique to perform fluorescence lifetime imaging with a laser-scann... RR...
Nikolski, C. Grimm, I.R. Efimov Three-dimensional panoramic imaging of cardiac arrhythmias in rabbit heart J Biomed Opt, 12 (2007), p. 044019 CrossrefView in ScopusGoogle Scholar 36 T.A. Quinn, S. Granite, M.A. Allessie, et al. Minimum Information about a Cardiac Electrophysiology ...
Three-dimensional (3D) imaging of thin, extended specimens at nanometer resolution is critical for applications in biology, materials science, advanced synthesis, and manufacturing. One route to 3D imaging is tomography, which requires a tilt series of a local region. However, capturing images at ...